Publications @ CHI 2026

@inproceedings{Purohit2026ConditionalCompanion,

title = {A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs},

author = {Aditya Kumar Purohit (Center for Advanced Internet Studies (CAIS)) , Hendrik Heuer (Center for Advanced Internet Studies (CAIS))},

url = {https://www.linkedin.com/in/adityakumarpurohit/, author's linkedin},

doi = {10.1145/3772318.3791763},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Large Language Models (LLMs) are increasingly used for mental health support, yet little is known about how people with mental health challenges engage with them, how they evaluate their usefulness, and what design opportunities they envision. We conducted 20 semi-structured interviews with people in the UK who live with mental health conditions and have used LLMs for mental health support. Through reflexive thematic analysis, we found that participants engaged with LLMs in conditional and situational ways: for immediacy, the desire for non-judgement, self-paced disclosure, cognitive reframing, and relational engagement. Simultaneously, participants articulated clear boundaries informed by prior therapeutic experience: LLMs were effective for mild-to-moderate distress but inadequate for crises, trauma, and complex social-emotional situations. We contribute empirical insights into the lived use of LLMs for mental health, highlight boundary-setting as central to their safe role, and propose design and governance directions for embedding them responsibly within care ecosystem},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Townsend2026TreesPerspective,

title = {A Tree’s Perspective: Enhancing Nature Connectedness Through Transitional and Multisensory Virtual Reality Experiences},

author = {Lisa L. Townsend (TU Dortmund University,), Julian Rasch (LMU Munich), Amy Grech (University of Strathclyde), Bernhard E. Riecke (Simon Fraser University), Sven Mayer (TU Dortmund University, Research Center Trustworthy Data Science and Security)},

url = {https://haii.cs.tu-dortmund.de/, website 

https://haii.group/, lab's social media 

https://www.linkedin.com/in/lisa-townsend-hci/, author's linkedin},

doi = {10.1145/3772318.3790282},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Embodying natural entities in Virtual Reality (VR) shows potential to enhance nature connectedness, but design factors that support such embodiment remain underexplored. This study examined whether transitional elements in the physical setting before and after VR and multisensory stimuli during VR can strengthen nature connectedness in a transformative tree-embodiment experience. Through a mixed-methods approach (N=20), where we varied the pre- and post-VR experience (Neutral vs. Transitional) and sensory modalities (Audiovisual vs. Multisensory), we found that both transitional and multisensory experiences significantly enhanced presence, embodiment, and nature connectedness, with increases in emotional connectedness sustained one week later. Drawing on interview insights and impact ratings of specific design features, we derive design recommendations for integrating transitional and multisensory elements. Our findings demonstrate the value of holistic design for enhancing the emotional and transformative potential of virtual nature embodiment for fostering environmental awareness.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grundgeiger2026AisupportedElectrocardiogram,

title = {AI-Supported Electrocardiogram Interpretation: The Effect of Support Presentation on Diagnostic Accuracy, Psychological Need Satisfaction, and Diagnosis Time},

author = {Tobias Grundgeiger (Julius-Maximilians-Universität Würzburg, Germany), Louisa Maurer (Julius-Maximilians-Universität Würzburg, Germany), Carlos Ramon Hölzing (University Hospital Würzburg, Germany), Oliver Happel (University Hospital Würzburg, Germany),},

url = {https://www.mcm.uni-wuerzburg.de/psyergo/, website},

doi = {10.1145/3772318.3790619},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Interpreting electrocardiograms (ECGs) is an important but complex and error-prone task. While diagnostic support algorithms exist, how support is displayed and how clinicians interact with ECG diagnostic and clinical decision support systems in general remain underexplored. In this preregistered experiment, we studied how providing clinicians with different versions of diagnostic support affects ECG interpretation. All four support types improved diagnosis accuracy compared to a no-support control condition, but the most effective was support offering visual ECG trace markings. User experience, in the form of psychological need satisfaction of competence and security, was highest when clinicians first viewed the ECG independently and then received support in a second stage. The latter two-stage support also resulted in the shortest diagnosis times. We conclude with design and research implications for creating clinician-algorithmic support interactions that improve user experience, efficacy, and effectiveness in the present study, and may ultimately contribute to patient safety.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chiossi2026AnticipationBefore,

title = {Anticipation Before Action: EEG-Based Implicit Intent Detection for Adaptive Gaze Interaction in Mixed Reality},

author = {Francesco Chiossi (LMU Munich, Munich, Germany), Elnur Imamaliyev (Department of Neuroscience, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany), Martin Bleichner (Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Oldenburg, Germany), Sven Mayer (TU Dortmund University, Dortmund, Germany, info@sven-mayer.com Research Center Trustworthy Data Science and Security, Dortmund, Germany)},

url = {https://www.medien.ifi.lmu.de/, website 

https://www.linkedin.com/company/lmu-media-informatics-group/posts/?feedView=all, lab's linkedin 

https://www.linkedin.com/in/francescochiossi/, author's linkedin 

https://www.francesco-chiossi-hci.com/, social media},

doi = {10.1145/3772318.3790523},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Mixed Reality (MR) interfaces increasingly rely on gaze for interaction, yet distinguishing visual attention from intentional action remains difficult, leading to the Midas Touch problem. Existing solutions require explicit confirmations, while brain–computer interfaces may provide an implicit marker of intention using Stimulus-Preceding Negativity (SPN). We investigated how Intention (Select vs. Observe) and Feedback (With vs. Without) modulate SPN during gaze-based MR interactions. During realistic selection tasks, we acquired EEG and eye-tracking data from 28 participants. SPN was robustly elicited and sensitive to both factors: observation without feedback produced the strongest amplitudes, while intention to select and expectation of feedback reduced activity, suggesting SPN reflects anticipatory uncertainty rather than motor preparation. Complementary decoding with deep learning models achieved reliable person-dependent classification of user intention, with accuracies ranging from 75% to 97% across participants. These findings identify SPN as an implicit marker for building intention-aware MR interfaces that mitigate the Midas Touch.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Rasch2026AnticipationWithout,

title = {Anticipation Without Acceleration: Benefits of Shared Gaze in Collocated Augmented Reality Collaboration},

author = {Julian Rasch (LMU Munich), Vladislav Dmitrievic Rusakov (LMU Munich), Jan Leusmann (LMU Munich), Florian Müller (TU Darmstadt), Albrecht Schmidt (LMU Munich)},

url = {https://www.medien.ifi.lmu.de/index.xhtml, website 

https://www.linkedin.com/company/lmu-media-informatics-group/, lab's linkedin 

https://de.linkedin.com/in/julian-rasch, author's linkedin},

doi = {10.1145/3772318.3791758},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Knowing what collaborators attend to is essential. Previous studies demonstrated that shared gaze enhances coordination and social connectedness in remote settings. In collocated settings, gaze can be both naturally observable and technologically augmented. AR enables gaze cues to be rendered explicitly in the environment. To investigate if and how such cues are beneficial in collocated AR collaboration, we examined both qualitative and quantitative effects across three task types (puzzle, negotiation, search) and two spatial setups (plane, room), focusing on task completion time and the collaborative experience. In our user study with 24 dyads (n=48), we varied gaze visibility and measured task performance, user preference, social connectedness, and shared attention. Our results show that sharing gaze in collocated collaborative AR can increase shared attention, is perceived as helpful, and improves the user experience, similar to remote collaboration, but has a limited impact on the actual task completion time across the chosen tasks.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bahnsen2026ArcuesTask,

title = {AR-Cues for Task Resumption Change Users’ Strategy for Dealing with Deferrable Interruptions},

author = {Kilian Bahnsen (Julius-Maximilians-Universität Würzburg, Germany), Tobias Grundgeiger (Julius-Maximilians-Universität Würzburg, Germany)},

url = {https://www.mcm.uni-wuerzburg.de/psyergo/, website},

doi = {10.1145/3772318.3790673},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {When given the opportunity, people tend to try to reach coarse breakpoints for work interruptions. Coarse breakpoints are frequently associated with less effort when resuming the task. We investigated how supporting task resumption with augmented reality (AR)-cues affects this behavior. In a mixed factorial experiment, 50 participants performed a physical sorting task that included deferrable interruptions with varying distances to a coarse breakpoint, either with or without an AR-cue indicating the next correct step after interruption. Participants with AR-cue accepted interruptions at fine breakpoints more frequently than those without a cue, except when the coarse breakpoint was one step away, and reported less stress. Our findings indicate that AR-cues attenuate but do not eliminate the need for specific task resumption strategies, such as reaching a coarse breakpoint, and reduce the stress. Considering AR-cues for task resumption may be particularly beneficial for time-critical interruptions and fast-paced work environments.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Liu2026Attentivelearn,

title = {AttentiveLearn: Personalized Post-Lecture Support for Gaze-Aware Immersive Learning},

author = {Shi Liu (KIT, h-lab), Martin Feick (KIT, h-lab), Linus Bierhoff (KIT, h-lab), Alexander Maedche (KIT, h-lab)},

url = {https://h-lab.win.kit.edu/, website},

doi = {10.1145/3772318.3790667},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Immersive learning environments such as virtual classrooms in Virtual Reality (VR) offer learners unique learning experiences, yet providing effective learner support remains a challenge. While prior HCI research has explored in-lecture support for immersive learning, little research has been conducted to provide post-lecture support, despite being critical for sustained motivation, engagement, and learning outcomes. To address this, we present AttentiveLearn, a learning ecosystem that generates personalized quizzes on a mobile learning assistant based on learners’ attention distribution inferred using eye-tracking in VR lectures. We evaluated the system in a four-week field study with 36 university students attending lectures on Bayesian data analysis. AttentiveLearn improved learners’ reported motivation and engagement, without conclusive evidence of learning gains. Meanwhile, anecdotal evidence suggested improvements in attention for certain participants over time. Based on our findings of the field study, we provide empirical insights and design implications for personalized post-lecture support for immersive learning systems.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Yi2026AugmentedBody,

title = {Augmented Body Parts: Bridging VR Embodiment and Wearable Robotics},

author = {HyeonBeom Yi (Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea), Myung Jin (MJ) Kim (Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea), Seungwoo Je (Southern University of Science and Technology, Shenzhen, China), Seungjae Oh (Kyung Hee University, Yongin, Republic of Korea), Shuto Takashita (University of Tokyo, Tokyo, Japan), Hongyu Zhou (University of Sydney, Sydney, Australia), Marie Muehlhaus (Saarland University, Saarbrücken, Germany), Dr. Eyal Ofek (University of Birmingham, Birmingham, United Kingdom), Andrea Bianchi (KAIST, Daejeon, Republic of Korea)},

url = {https://hci.cs.uni-saarland.de, website 

https://www.linkedin.com/company/saarhcilab/, lab's linkedin},

doi = {10.1145/3772363.3778688},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Recent work across HCI/HRI and wearable robotics has investigated how people control and perceive extra body parts in both virtual and physical settings. Virtual embodiment in XR has shown that users can experience ownership and agency with non-anthropomorphic avatars, while wearable robotics has introduced supernumerary limbs such as third arms and robotic tails. Despite these shared goals, connections between findings remain limited because VR and hardware studies rely on different assumptions about sensory feedback, human perception, and physical constraints, making insights difficult to transfer across contexts. This workshop brings together researchers in XR, wearable robotics, haptics, and neuroscience to explore how to foster embodiment and adaptation with augmented body parts, and how to bridge virtual embodiment to effective use with wearable devices. Through a keynote, brief position shares, and two hands-on group activities, participants will examine control mappings and sensory-feedback strategies and identify which aspects of VR-based embodiment realistically transfer when accounting for hardware limits, sensor variability, and cognitive load. Ultimately, the workshop aims to articulate a focused research agenda connecting VR-based insights to feasible wearable robotics implementations, enabling future work on augmenting the human body with new parts and capabilities.},

keywords = {Workshops},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Salous2026AugmentingImagery,

title = {Augmenting Imagery with Multimodal Vibrotactile Representations: Touch, Feel, and Hear},

author = {Mazen Salous (OFFIS Institute for Information Technology, Oldenburg, Germany), Matthias Kramer (OFFIS Institute for Information Technology, Oldenburg, Germany), Wilko Heuten (OFFIS Institute for Information Technology, Oldenburg, Germany), Charles Hudin (CEA Tech, Gif Sur Yvettes, France), Susanne Boll (University of Oldenburg, Oldenburg, Germany), Larbi Abdenebaoui (OFFIS Institute for Information Technology, Oldenburg, Germany)},

url = {https://www.offis.de/, website 

https://www.linkedin.com/showcase/offis-science, lab's linkedin 

https://www.linkedin.com/in/dr-mazen-salous-a2b84225/, author's linkedin},

doi = {10.1145/3772318.3791493},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Digital images remain largely inaccessible to blind or visually impaired (BVI) people because alt-text rarely conveys how %objects For-TAPS - materials materials feel or sound. We augment material images with multimodal vibrotactile patterns and evaluate four generation pipelines. AP1: prompt with one-shot example, AP2: prompt to audio, then pattern, AP3: real finger–material recording to pattern, and AP4: patterns from a public haptic database. A custom multilocal vibrotactile tablet played patterns on 10 material images (e.g., wood, stone, glass). Eight BVI participants explored each image with four patterns and ranked the best match. Think-aloud feedback highlighted: Theme 1 (realism — rough/grainy for wood and stone; smooth/steady for glass), Theme 2 (distinctiveness — separable cues; uniform buzzes were criticized), Theme 3 (personal associations), Theme 4 (effort/calibration for faint/noisy patterns; intensity tuning), and Theme 5 (preferences/suggestions). Exploratory ranks (n=8) echoed hybrid, user-tunable pipelines for accessible material perception.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Dietz2026BalancingAccuracy,

title = {Balancing Accuracy and Embodiment: A Hybrid Perspective for Complex Visuomotor Tasks in VR},

author = {Dennis Dietz (LMU Munich), Sebastian Walz (LMU Munich), Sven Mayer (TU Dortmund University), Andreas Butz (LMU Munich), Matthias Hoppe (Keio University Graduate School of Media Design)},

url = {https://www.medien.ifi.lmu.de/, website},

doi = {10.1145/3772318.3791472},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Visual perspective is a crucial design factor in Virtual Reality (VR). Especially when complex motor tasks are involved, it can affect both objective performance and subjective experience. We compared four visual perspectives (First-Person view, translucent Ghost view, Third-Person view, and Hybrid view) in a user study (N=20) involving different difficulties in a balancing game. Our findings reveal complex tradeoffs between the sense of embodiment, performance, and preference: The preferred Hybrid perspective offered a significant stability advantage for low task difficulty. However, this benefit vanished with increasing physical demand, revealing a speed-accuracy trade-off where external views required longer completion times. Ego-centric perspectives (First and Ghost) induced a stronger sense of embodiment and presence, but were less preferred. Participants' choice was not determined by representational fidelity but by pragmatic considerations of perceived utility. As perceived effectiveness can overrule objective performance and subjective experience, the choice of perspective is an important consideration for future training and rehabilitation applications in VR.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Aljuneidi2026BalancingAutomation,

title = {Balancing Automation and Discretion: How Decision Stakes and Human-AI Collaboration Affect Citizen Perceptions in Public Administration},

author = {Saja Aljuneidi (OFFIS - Institute for Information Technology),, Wilko Heuten (OFFIS - Institute for Information Technology),, Zhamilya Bilyalova (Wellesley College),, Maria K Wolters (OFFIS - Institute for Information Technology),, Susanne Boll (University of Oldenburg)},

url = {https://hci.uni-oldenburg.de/, website 

https://vimeo.com/1161420158?share=copy&fl=sv&fe=ci, teaser video 

www.linkedin.com/in/saljuneidi, author's social media},

doi = {10.1145/3772318.3790795},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {The growing use of AI in public administration improves efficiency, yet its use in discretionary decisions raises concerns about fairness and legitimacy. While prior research examined decision stakes and Human–AI decision-making configurations separately, their combined effect on citizens’ perceptions of fairness and adoption remains underexplored. We conducted a mixed-method Wizard-of-Oz study (n=43) using an Intelligent-Self-Service-Kiosk. Participants completed a low-stakes (ID renewal) and a high-stakes (social housing) task under one of three decision-making configurations: AI alone, AI with human-supervision, and human with AI advice or recommendation. Quantitative analysis found no significant effects, highlighting the limits of standard metrics. However, qualitative interviews revealed that citizens valued human involvement, requiring meaningful over symbolic oversight. They emphasized interactive dialogue before decisions to capture their circumstances and after, to facilitate appeals. We contribute evidence of tensions between citizens’ desire for efficiency and need for human-control and fairness. We provide guidance for designing citizen-centered AI systems that align with democratic values.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hirsch2026ContextualizingPublic,

title = {Contextualizing Public Interfaces for Meaningful Human-Environment Interactions with Traces in Use},

author = {Linda Hirsch (Social Emotional Technology Lab, University of California Santa Cruz, Santa Cruz, California, United States), Dr Marius Hoggenmüller (Design Lab, School of Architecture, Design and Planning, The University of Sydney, Sydney, NSW, Australia), Prof. Dr. Andreas Martin Butz (LMU Munich, Munich, Germany), Louisa Sophie Bekker (LMU Munich, Munich, Germany), Sarita Maria Sridharan (LMU Munich, Munich, Germany), Ceenu George (Chair of Human-Computer Interaction, TU Berlin, Berlin, Germany),},

url = {https://www.hci.tu-berlin.de/, website},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Meaningful interactions positively impact users' meaning-making and feeling socially and culturally connected with their surroundings. However, creating such interactions is a continuous, complex challenge. We present the Traces in Use design concept supporting interface contextualization for meaningful human-environment interactions in public places. The concept was developed and evaluated in three steps: I) exploring traces of use characteristics as inspiration for design, II) introducing the concept definition, its theoretical evaluation, and a supporting framework, and III) practically evaluating the concept by developing, contextualizing, and testing three interfaces (a lion interface, a drum, and a storyteller) in two empirical field studies (N=40). The results show that the concept promotes meaningful interaction by supporting users' feelings of socio-cultural connectedness and meaning-making. With this, our work contributes the Traces in Use design concept, its development, and its methodological application for meaningful human-environment interactions and interface contextualization in public places.},

keywords = {Journal},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Keppel2026DeterminingPerception,

title = {Determining Perception Thresholds for Real and Virtual Inclinations While Cycling in Virtual Reality},

author = {Jonas Keppel (University of Duisburg-Essen), Marvin Prochazka (University of Duisburg-Essen), Stefan Lewin (University of Duisburg-Essen), Markus Stroehnisch (University of Duisburg-Essen), Marvin Strauss (University of Duisburg-Essen), André Zenner (Saarland University and DFKI), Donald Degraen (University of Canterbury), Andrii Matviienko (KTH Royal Institute of Technology), Stefan Schneegass (University of Duisburg-Essen)},

url = {https://hci.informatik.uni-due.de/, website 

https://de.linkedin.com/company/hci-group-essen, lab's linkedin 

https://www.facebook.com/HCIEssen, facebook

https://youtu.be/eT_CP7vTleY, full video},

doi = {10.1145/3772318.3791538},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {In virtual reality (VR) experiences, mismatches between reality and virtuality are usually undesirable, as they can disrupt immersion and induce cybersickness. However, when carefully controlled, they may expand the design space of VR. This research investigates perceptual detection thresholds for mismatches between real and virtual inclinations during cycling in VR. Using a custom simulation},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mossano2026DevelopmentEvaluation,

title = {Development, Evaluation, and Implementation of SEQR – a Usable Secure QR code Scanner},

author = {Mattia Mossano (Karlsruhe Institute of Technology), Maxime Fabian Veit (Karlsruhe Institute of Technology), Tobias Länge (Karlsruhe Institute of Technology), Benjamin Maximilian Berens (Karlsruhe Institute of Technology), Filipo Sharevski (DePaul University), Melanie Volkamer (Karlsruhe Institute of Technology)},

url = {https://secuso.aifb.kit.edu/, website 

https://www.linkedin.com/company/secuso-research-group/, lab's linkedin 

www.linkedin.com/in/mattiamossano, author's social media 

https://bsky.app/profile/secusoresearch.bsky.social, bluesky 

https://mastodon.social/@SECUSO_Research@baw%C3%BC.social, mastadon},

doi = {10.1145/3772318.3793213},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {QR codes are widely used, but can become the vector of phishing attacks (QRishing). To support users, we systematically developed a usable secure QR code scanner, SEQR (Security Enhanced QR code scanner). We based the SEQR's design on two systematic reviews: (i) of academic literature (2015–2025), identifying 96 papers on QRishing, and (ii) of the MITRE ATT&CK Mobile repository, finding 36 QRishing techniques. From these two sources, we categorized 60 potential attacks, and divided them between those that SEQR addresses only at the technology level, and those where SEQR involves the users in the decision. We evaluated SEQR effectiveness in thwarting attacks in a between-subjects online study (n=556), where SEQR achieved 93.35% correct answers, compared to 75.24% for the Apple iOS QR code scanner and 65.11% for the Samsung Android QR code scanner. We implemented SEQR as an open source Android application, available on GitHub.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lima2026CitizensAgree,

title = {Do Citizens Agree with the EU AI Act? Public Perspectives on Risk and Regulation of AI Systems},

author = {Gabriel Lima (Max Planck Institute for Security and Privacy), Gustavo Gil Gasiola (Karlsruhe Institute of Technology), Frederike Zufall (Karlsruhe Institute of Technology, Waseda Institute for Advanced Study), Yixin Zou (Max Planck Institute for Security and Privacy)},

url = {https://thegcamilo.github.io/, website 

https://www.linkedin.com/in/gabriel-lima-531b271a0/, author's linkedin},

doi = {10.1145/3772318.3790535},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {The European Union (EU) has spearheaded the regulation of artificial intelligence (AI) with the AI Act, which regulates AI systems based on the risks they pose to fundamental rights and other protected values. AI systems that pose unacceptable risks are prohibited, high-risk AI systems must comply with mandatory requirements, and minimal risk AI systems are encouraged—but not required—to adopt voluntary standards. Motivated by concerns that the AI Act may not reflect the public's opinions, we investigate how laypeople (N=1,421) assess 48 different AI systems concerning their risk and regulation. We find that people believe all 48 AI systems pose moderate levels of risk and should be regulated (albeit without outright prohibitions). Our findings challenge the AI Act's tiered approach, showing that people might support horizontal regulation requiring minimal standards for AI systems, and provide implications for developers seeking to develop AI aligned with public expectations.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schmid2026EffectsSmall,

title = {Effects of Small Latency Variations in 2D Target Selection Tasks},

author = {Andreas Schmid (University of Regensburg), Isabell Röhr (University of Regensburg), Martina Emmert (University of Regensburg), Niels Henze (University of Tübingen), Raphael Wimmer (University of Regensburg)},

url = {https://www.uni-regensburg.de/informatik-data-science/fakultaet/einrichtungen/medieninformatik/, website},

doi = {10.1145/3772318.3791712},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Systems' latency — the time between user input and system response — slows down the human-computer interaction loop. Several studies revealed negative objective and subjective effects of high latency, typically treating latency as a constant delay. Because latency varies significantly in practice, recent work also assessed the effects of large and sudden latency changes. In practice, however, latency variations are small but frequent. As the effects of such variations are unclear, we investigate how small latency variations (+/-50 ms) affect users' performance and perceived task load for 2D target selection tasks with static and moving targets. For static targets, we found that latency variation causes significantly higher completion times and less efficient trajectories, however with small effect sizes. In contrast, we found no significant effects on any performance measure for moving targets. Our findings indicate that the effect of latency variation is generally very small and quickly disappears for non-trivial tasks.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Colley2026EhmiAll,

title = {eHMI for All - Investigating the Effect of External Communication of Automated Vehicles on Pedestrians, Manual Drivers, and Cyclists in Virtual Reality},

author = {Mark Colley (UCL Interaction Centre), Simon Kopp (Institute of Media Informatics, Ulm University), Debargha Dey (Eindhoven University of Technology), Pascal Jansen (Institute of Media Informatics, Ulm University), Enrico Rukzio (Institute of Media Informatics, Ulm University)},

doi = {10.1145/3772318.3790585},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {With automated vehicles (AVs), the absence of a human operator could necessitate external Human-Machine Interfaces (eHMIs) to communicate with other road users. Existing research primarily focuses on pedestrian-AV interactions, with limited attention given to other road users, such as cyclists and drivers of manually driven vehicles. So far, no studies have compared the effects of eHMIs across these three road user roles. Therefore, we conducted a within-subjects virtual reality experiment (N=40), evaluating the subjective and objective impact of an eHMI communicating the AV's intention to pedestrians, cyclists, and drivers under various levels of distraction (no distraction, visual noise, interference). eHMIs positively influenced safety perceptions, trust, perceived usefulness, and mental demand across all roles. While distraction and road user roles showed significant main effects, interaction effects were only observed in perceived usability. Thus, a unified eHMI design is effective, facilitating the standardization and broader adoption of eHMIs in diverse traffic.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Jiang2026Embroform,

title = {EmbroForm: Digital Fabrication of Soft Freeform Objects with Machine Embroidered Pull-up Strings},

author = {Yu Jiang (HCI Lab), Haonan Zhang (HCI Lab), Jürgen Steimle (HCI Lab)},

doi = {10.1145/3772318.3790731},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Pull-up objects form 3D shapes by pulling a string routed through a 2D material, offering low-cost 2D fabrication and reversible transformation. However, existing approaches rely on origamic folding, which creates faceted, oftentimes rigid surfaces and requires manual pull-up string routing. We introduce EmbroForm, a digital fabrication pipeline for fully soft pull-up objects with organic, higher-fidelity shapes. Instead of folding, EmbroForm forms 3D shapes by seaming the boundaries of a flexible 2D patch unwrapped from the target. To enable this, we contribute a fabrication technique that automates the routing of sliding strings on flexible sheet materials with machine embroidery, which we extend on to design zig-zag lacings for seaming the boundaries. Then we introduce an end-to-end pipeline that, given a 3D mesh, creates an optimized 2D unwrapped patch and generates pull-up string routing paths for fabrication. We provide a design tool for customization and validate our approach with technical experiments and implemented application cases.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Knierim2026FlowSocial,

title = {Flow on Social Media? Rarer Than You’d Think},

author = {Michael T. Knierim (KIT, University of Nottingham), Thimo Schulz (KIT), Moritz Schiller (KIT), Jwan Shaban (University of Nottingham), Mario Nadj (University Duesburg-Essen), Max L. Wilson (University of Nottingham), Alexander Maedche (KIT)},

url = {https://h-lab.win.kit.edu/, website 

https://www.linkedin.com/in/dr-michael-knierim-13397881/, author's linkedin},

doi = {10.1145/3772318.3791800},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Researchers often attribute social media’s appeal to its ability to elicit flow experiences of deep absorption and effortless engagement. Yet prolonged use has also been linked to distraction, fatigue, and lower mood. This paradox remains poorly understood, in part because prior studies rely on habitual or one-shot reports that ask participants to directly attribute flow to social media. To address this gap, we conducted a five-day field study with 40 participants, combining objective smartphone app tracking with daily reconstructions of flow-inducing activities. Across 673 reported flow occurrences, participants rarely associated flow with social media (2%). Instead, heavier social media use predicted fewer daily flow occurrences. We further examine this relationship through the effects of social media use on fatigue, mood, and motivation. Altogether, our findings suggest that flow and social media may not align as closely as assumed - and might even compete - underscoring the need for further research.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muehlhaus2026ForefeelMove,

title = {Forefeel the Move: Investigating Proprioceptive Feedback for Communicating Imminent Motions of Body-actuating Systems},

author = {Marie Muehlhaus (Saarland University), Martin Schmitz (University of Koblenz), Jürgen Steimle (Saarland University)},

url = {https://hci.cs.uni-saarland.de, website 

https://www.linkedin.com/company/saarhcilab/, lab's linkedin 

https://www.linkedin.com/in/marie-muehlhaus-21b2b8202/, author's linkedin},

doi = {10.1145/3772318.3790487},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Systems actuating the body can proactively assist users in diverse tasks. However, unexpected body actuation may pose safety risks. We propose proprioceptive feedback to inform users about an imminent actuation before the system takes control. In a user study, we compare different proprioceptive cues that either interrupt or augment user motion to convey (1) solely that a body actuation is imminent, (2) its direction, or (3) its target. To enable a controlled investigation, we confined the cues to one degree-of-freedom joints and implemented them in an elbow exoskeleton. The results show that all cues are highly noticeable, offering an integrated feedback channel; yet, their effectiveness in communicating direction and target differed: While cues that augmented user motion were more accurate and preferred, disruptive cues enabled faster but less accurate interpretations. Furthermore, our analysis revealed that proprioceptive feedback enhanced the expressiveness of the conveyed information and user's aspirations for adaptive feedback.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chen2026FromHarm,

title = {From Harm to Healing: Understanding Individual Resilience after Cybercrimes},

author = {Xiaowei Chen (MPI-SP), Mindy Tran (MPI-SP), Yue Deng (The Hong Kong University of Science and Technology & MPI-SP), Bhupendra Acharya (University of Louisiana), Yixin Zou (MPI-SP)},

doi = {10.1145/3772318.3791486},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {How do individuals recover from cybercrimes? Victims experience various types of harm after cybercrimes, including monetary loss, data breaches, negative emotions, and even psychological trauma. The aspects that support their recovery process and contribute to individual cyber resilience remain underinvestigated. To address this gap, we interviewed 18 cybercrime victims from Western Europe using a trauma-informed approach. We identified four common stages following victimization: recognition, coping, processing, and recovery. Participants adopted various strategies to mitigate the impact of cybercrime and used different indicators to describe recovery. While they mostly relied on social support and self-regulation for emotional coping, service providers largely determined whether victims were able to recover their money. Internal factors, external support, and context sensitivity collectively contribute to individuals' cyber resilience. We recommend trauma-informed support for cybercrime victims. Extending our conceptualization of individual cyber resilience, we propose collaborative and context-sensitive strategies to address the harmful impacts of cybercrime.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stano2026HackingFlow,

title = {Hacking Flow: From Lived Practices to Innovation},

author = {Fabio Stano (KIT), Max L. Wilson (University of Nottingham), Christof Weinhardt (KIT), Michael T. Knierim (KIT, University of Nottingham)},

url = {https://www.linkedin.com/in/dr-michael-knierim-13397881/, author's linkedin},

doi = {10.1145/3772318.3791009},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {In digital knowledge work, flow promises not just productivity; it offers a pathway to well-being. Yet despite decades of flow research in HCI, we know little about how to design digital interventions that support it. In this work, we foreground lived interventions — everyday practices workers already use to foster flow — to uncover overlooked opportunities and chart new directions for digital intervention design. Specifically, we report findings from two studies: (1) a reflexive thematic analysis of open-ended survey responses (n = 160), surfacing 38 lived interventions across four categories: environment, organization, task shaping, and personal readiness; and (2) a quantitative online survey (n = 121) that validates this repertoire, identifies which interventions are broadly endorsed versus polarizing, and elicits visions of technological support. We contribute empirical insights into how digital workers cultivate flow, situate these lived interventions within existing literature, and derive design opportunities for future digital flow interventions.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muehlhaus2026Haptex,

title = {HaptEx: Investigating Haptic Notification Channels for Exoskeletons Across Different Levels of Actuation},

author = {Marie Muehlhaus* (Saarland University), Jannik Nau* (Saarland University), Martin Schmitz (University of Koblenz), Jürgen Steimle (Saarland University)},

url = {https://hci.cs.uni-saarland.de, website 

https://www.linkedin.com/company/saarhcilab/, lab's linkedin 

https://www.linkedin.com/in/marie-muehlhaus-21b2b8202/, author's linkedin 

https://www.linkedin.com/in/jannik-nau/, author's linkedin},

doi = {10.1145/3772318.3791179},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Exoskeletons are increasingly deployed in real-world contexts, where communicating critical system states or unexpected events is important for effective interaction. Haptic feedback offers a direct communication channel, integrating naturally with the actuated body region. Yet, it remains unclear how well haptic feedback is perceived while the body is being actuated. In a controlled study (N=24) with a shoulder exoskeleton, we compare four common haptic notification channels (poking, proprioceptive, thermal, vibrotactile) under different levels of actuation. Results show that poking was detected fastest, while thermal and proprioceptive notifications were most accurate and noticeable. Actuation levels affected error rates and noticeability, but not response times. Participants reported that thermal notifications aligned best with the actuation levels, producing a distinct sensation that blended naturally with movement. In contrast, proprioceptive notifications conveyed the strongest sense of urgency. We discuss design implications for leveraging haptic notifications to support embodied communication with exoskeletons.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peng2026HumanaiuiInteractions,

title = {Human-AI-UI Interactions Across Modalities},

author = {Kewen Peng (University of Utah, United States), Jeffrey Nichols (Apple Inc., United States), Christof Lutteroth (University of Bath, United Kingdom), Tiffany Knearem (MBZUAI, United Arab Emirates), Felix Kretzer (Karlsruhe Institute of Technology (KIT), Germany). Jeffrey Bigham (Carnegie Mellon University & Apple Inc., United States), Alexander Maedche (Karlsruhe Institute of Technology (KIT), Germany), Yue Jiang (University of Utah, United States)},

url = {https://h-lab.win.kit.edu/, website 

https://www.linkedin.com/company/68838007/, lab's linkedin},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Designing and developing user-friendly interfaces has long been a cornerstone of HCI research, yet today we are at a turning point where UIs are no longer designed solely for humans but also for intelligent agents that act on users’ behalf, while UIs are also expanding beyond 2D screens into extended reality environments with inherently multimodal characteristics, together challenging us to rethink the role of the UI as a mediator of human–AI interaction. This workshop will explore how UI agents bridge human intent and system behavior by interpreting multimodal inputs and generating adaptive outputs across surfaces from screens to extended reality (XR), and we will examine not only their technical capabilities but also their broader impact, including how agents reshape daily workflows, how bidirectional alignment between human and AI activity can be achieved, and how generative models may transform UI creation. XR provides a compelling testbed for these questions and highlights challenges around accuracy, efficiency, transparency, accessibility, and user agency, setting the stage for the next generation of intelligent and adaptive UIs.},

keywords = {Workshops},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ehsan2026HumancenteredExplainable,

title = {Human-Centered Explainable AI (HCXAI): Re-examining XAI in the Era of Agentic AI},

author = {Upol Ehsan (Khoury College of Computer Sciences, Northeastern University , Boston, Massachusetts, United States), Amal Alabdulkarim (Georgia Institute of Technology, Atlanta, Georgia, United States), Kenneth Holstein (Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States), Min Kyung Lee (School of Information, University of Texas at Austin, Austin, Texas, United States), Andreas Riener (Human-Computer Interaction Group, Technische Hochschule Ingolstadt, Ingolstadt, Bavaria, Germany), Justin D. Weisz (IBM Research, Yorktown Heights, New York, United States)},

url = {https://hcig.thi.de/, website 

https://www.linkedin.com/in/andreas-riener-19233710/, author's linkedin},

doi = {10.1145/3772363.3778728},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Making AI explainable requires more than algorithmic transparency: it demands understanding who needs explanations and why. In our sixth CHI workshop on Human-Centered XAI (HCXAI), we shift focus to agentic AI systems. LLM-based agents foundationally challenge existing explainability paradigms. Unlike traditional AI that produces single outputs, agents plan multi-step strategies, invoke tools with real-world consequences, and coordinate with other systems; yet current XAI approaches fail to address these complexities. Users need to understand not just what an agent might do, but the cascade of actions it could trigger, the risks involved, and why responses take time. Even our expanded HCXAI frameworks struggle with these new demands. Through our workshop series, we have built a strong community making important conceptual, methodological, and technical impact. This year, we re-examine what human-centered explainable AI means in the agentic era, bringing together researchers and practitioners to shape explainability for both users and developers of these systems.},

keywords = {Workshops},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Osipova2026FeltLike,

title = {I Felt Like I Need to Fit in Someone Else’s Body - Understanding Body-Centered UX Design for Online Fashion Shopping},

author = {Margarita Osipova (Bauhaus-Universität Weimar), Urszula Kulon (Bauhaus-Universität Weimar), Adithi Mahesh (Bauhaus-Universität Weimar), Olesia Kirillova (independent), Marion Koelle (Hochschule RheinMain), Eva Hornecker (Bauhaus-Universität Weimar)},

url = {https://www.uni-weimar.de/en/media/chairs/computer-science-department/human-computer-interaction/, website 

https://www.linkedin.com/in/eva-hornecker-8b34983/, lab's linkedin},

doi = {10.1145/3772318.3791225},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Decades of online fashion retail and investment in its usability have led to a seemingly refined user experience. Yet, our study shows that female online shoppers, who make up the largest user group, experience a conflicted love-hate relationship when shopping online. Adopting a feminist HCI perspective, we contribute insights from a multi-step qualitative approach involving probes, co-design, iterative prototyping and body maps. We demonstrate that even screen-based website designs are deeply entangled with users’ embodied experiences. Through our analysis, we identify where such designs contribute to heightened emotional labour and negative user experiences. Our work offers concrete design implications centred around inclusivity, the predictive user experience of wearing and caring for garments, and transparency of information. We embody these implications in an interactive prototype and use it to validate our recommendations for a body-centred approach to UX design.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zeqiri2026InvestigatingEffects,

title = {Investigating the Effects of Eco-Friendly Service Options on Rebound Behavior in Ride-Hailing},

author = {Albin Zeqiri (Institute of Mediainformatics, Ulm University), Michael Rietzler (Institute of Mediainformatics, Ulm University), Enrico Rukzio (Institute of Mediainformatics, Ulm University)},

doi = {10.1145/3772318.3790711},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Eco-friendly service options (EFSOs) aim to reduce personal carbon emissions, yet their eco-friendly framing may permit increased consumption, weakening their intended impact. Such rebound effects remain underexamined in HCI, including how common eco-feedback approaches shape them. We investigate this in an online within-subjects experiment (N=75) in a ride-hailing context. Participants completed 10 trials for five conditions (No EFSO, EFSO - Minimal, EFSO - CO2 Equivalency, EFSO - Gamified, EFSO - Social), yielding 50 choices between walking and ride-hailing for trips ranging from 0.5mi-2.0mi (≈ 0.80km-3.22km). We measured how different EFSO variants affected ride-hailing uptake relative to a No EFSO baseline. EFSOs lacking explicit eco-feedback metrics increased ride-hailing uptake, and qualitative responses indicate that EFSOs can make convenience-driven choices more permissible. We conclude with implications for designing EFSOs that begin to take rebound effects into account.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doerrenbaecher2026MediatingSocial,

title = {Mediating Social Interaction in Public Spaces – Co-Design of Robotic Street Furniture with Adolescents},

author = {Judith Dörrenbächer (University of Siegen), Tuan Vu Pham (University of Siegen and Honda Research Institute Europe GmbH), Thomas Weisswange (Honda Research Institute Europe GmbH), Alarith Uhde (Ritsumeikan University, uhde@fc.ritsumei.ac.jp), Anna Hoch (University of Siegen), Marc Hassenzahl (University of Siegen),},

url = {https://www.experienceandinteraction.com, website},

doi = {10.1145/3772318.3791189},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {With the ongoing shift into the digital, spontaneous social encounters in public spaces are becoming challenging for adolescents. This study explores how robotic street furniture could facilitate meaningful adolescent social interaction. In a focus group and a theater-based co-design workshop, fourteen adolescents envisioned and enacted ten speculative concepts, such as roaming benches that invite serendipitous meetings. An analysis of these concepts identified diverse roles for robots (e.g., icebreaker, scapegoat) and revealed their particular social strengths and weaknesses (e.g., objective yet insistent). These insights were condensed into eight design suggestions, such as designing robots to orchestrate coincidences or framing them as opponents that humans can team up against. We suggest that robots can facilitate adolescents’ social interaction in public spaces, particularly due to certain social strengths inherent in the machinic nature of a robot.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mei2026MemeMyself,

title = {Meme, Myself and AR: Exploring Memes Sharing in Face-to-face Conversation using Augmented Reality},

author = {Yanni Mei (TU Darmstadt), Samuel Wendt (TU Darmstadt), Florian Müller (TU Darmstadt), Jan Gugenheimer (TU Darmstadt)},

url = {https://www.informatik.tu-darmstadt.de/hci/hci_tuda/index.en.jsp, website},

doi = {10.1145/3772318.3791255},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Internet memes are central to online communication, yet their visual humor is often lost in face-to-face (F2F) conversations. Augmented reality (AR) offers new ways to bring memes into F2F interactions, but it is unclear how memes can be integrated into F2F conversations using AR, and how they impact conversational dynamics. We surveyed meme users (N=29) to understand motivations and challenges in visualising memes in F2F conversations. With these insights, we developed an AR meme-sharing prototype and invited 12 pairs of friends to design AR visualizations for their memes and use them in conversations. Our analysis reveals two AR-unique visualizations: merging memes with one's body (The-Meme-On-Me) and situating oneself in meme environment (Me-In-The-Meme). We observed two integration patterns: using speech as setup before a meme punchline, and showing memes simultaneously with speech to amplify humor. We report users’ reactions toward AR memes, showing how it enables playful social interaction.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Jansen2026Mirage,

title = {MIRAGE: Enabling Real-Time Automotive Mediated Reality},

author = {Pascal Jansen (Institute of Media Informatics, Ulm University), Julian Britten (Institute of Media Informatics, Ulm University), Mark Colley (UCL Interaction Centre), Markus Sasalovici (Institute of Media Informatics, Ulm University), Enrico Rukzio (Institute of Media Informatics, Ulm University)},

url = {https://www.youtube.com/watch?v=MMBduUx9ZG4, full video 

https://www.linkedin.com/in/pascal-jansen-/, author's linkedin},

doi = {10.1145/3772318.3791195},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Traffic is inherently dangerous, with around 1.19 million fatalities annually. Automotive Mediated Reality (AMR) can enhance driving safety by overlaying critical information (e.g., outlines, icons, text) on key objects to improve awareness, altering objects' appearance to simplify traffic situations, and diminishing their appearance to minimize distractions. However, real-world AMR evaluation remains limited due to technical challenges. To fill this sim-to-real gap, we present MIRAGE, an open-source tool that enables real-time AMR in real vehicles. MIRAGE implements 15 effects across the AMR spectrum of augmented, diminished, and modified reality using state-of-the-art computational models for object detection and segmentation, depth estimation, and inpainting. In an on-road expert user study (N=9) of MIRAGE, participants enjoyed the AMR experience while pointing out technical limitations and identifying use cases for AMR. We discuss these results in relation to prior work and outline implications for AMR ethics and interaction design.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wolf2026NoSpirituality,

title = {No Spirituality Please, We’re HCI: Challenges for HCI Research on Religion and Spirituality},

author = {Sara Wolf (Psychologische Ergonomie, JMU Würzburg), Paula Friedrich (Psychologie intelligenter interaktiver Systeme, JMU Würzburg), Elizabeth Buie (Independent Researcher), Mark Blythe (School of Design, Northumbria University)},

url = {https://www.mcm.uni-wuerzburg.de/psyergo, website},

doi = {10.1145/3772318.3790490},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Religion and spirituality (R/S) shape billions of lives, yet they remain marginal in Human–Computer Interaction (HCI) research. Prior literature reviews mapped fragments of this space but missed key contributions and the lived realities of its researchers. We extend this picture through a review of 206 ACM and IEEE publications and a survey of R/S scholars in HCI (n=19). Our analysis shows a field in transition: Research on R/S is growing slightly in volume and diversity, with design-oriented work emerging as the dominant form of engagement. Yet the ACM and IEEE corpora remain largely separate, reflecting distinct epistemic traditions. Researchers report persistent challenges, including marginalization, exposing a deeper tension in HCI: While HCI claims to center the full range of human experience, R/S experience is still treated with suspicion. Our findings call for a reconsideration: If HCI is serious about human experience, it must take R/S experience seriously as well.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ambe2026OutEmergency,

title = {Out of Emergency: How Doctors Navigate Jurisdictional Seams in Emergency Care Referrals},

author = {Aloha Hufana Ambe (The University of Queensland, Australia), Isaac Salisbury (The University of Queensland, Australia), Tobias Grundgeiger (Julius-Maximilians-Universität Würzburg, Germany), Daniel Bodnar (Royal Brisbane and Women's Hospital, Australia), Sean Rothwell (Royal Brisbane and Women's Hospital, Australia), Dr Nathan Brown (Royal Brisbane and Women's Hospital, Australia), Ben Matthews (The University of Queensland, Australia)},

url = {https://www.mcm.uni-wuerzburg.de/psyergo/, website},

doi = {10.1145/3772318.3790619},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Referrals from the emergency department (ED) to inpatient teams are routine but high-stakes interactions, yet little is known about how they are accomplished in practice. Prior work often treats referrals as information transfer and emphasises structural tensions between departments, paying limited attention to the interactional detail of referral calls. To address this gap, we draw on a year of ethnographic fieldwork that includes seventeen recorded referral calls in a metropolitan ED. We show how clinicians manage jurisdictional seams through fine-grained conversational moves, and identify navigation strategies: tentative framing, preference-sensitive questioning, implicit acknowledgement of boundaries, offers of assistance and calibrated displays of competence. We demonstrate how the patient’s case is not treated as a fixed record but is reshaped in talk to align with different specialties, operating as a dynamic object. These insights extend accounts of boundary work and contribute to the design of supportive referral tools and training practices.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bhat2026ReactiveWriters,

title = {Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas},

author = {Advait Bhat (University of Washington), Marianne Aubin Le Quéré (Princeton University), Mor Naaman (Cornell Tech), Maurice Jakesch (Bauhaus-Universität Weimar)},

url = {https://www.csslab.net, website},

doi = {10.1145/3772318.3791529},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Emerging experimental evidence shows that writing with AI assistance can change both the views people express in writing and the opinions they hold afterwards. Yet, we lack substantive understanding of procedural and behavioral changes in co-writing with AI that underlie the observed opinion-shaping power of AI writing tools. We conducted a mixed-methods study, combining a retrospective analysis of AI-cowriting with 19 participants with a quantitative analysis tracing the engagement with ideas and opinions in 1,291 AI-cowriting-sessions. Our analysis shows that engaging with the AI's suggestions–reading them and deciding whether to accept them–becomes a central activity in the writing process, taking away from more traditional processes of ideation and language generation. As writers often do not complete their own ideation before engaging with suggestions, the suggested ideas and opinions seeded directions that writers then elaborated. At the same time, writers did not notice the AI's influence and felt in full control of their writing, as they–in principle–always could edit the final text. We term this shift textitReactive Writing: an evaluation-first, suggestion-led writing practice that departs substantially from conventional composing in the presence of AI assistance and is highly vulnerable to AI-induced biases and opinion shifts.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Solomonik2026Reflecting1000,

title = {Reflecting on 1,000 Social Media Journeys: Generational Patterns in Platform Transition},

author = {Artur Solomonik (Center for Advanced Internet Studies (CAIS)), Nicolas Ruiz (Center for Advanced Internet Studies (CAIS)), Hendrik Heuer (Center for Advanced Internet Studies (CAIS), Universität Wuppertal)},

url = {https://www.cais-research.de/en/research-program-design-of-trustworthy-artificial-intelligence/, website 

https://de.linkedin.com/in/artur-solomonik-86131824a, author's linkedin},

doi = {10.1145/3772318.3791413},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Social media has billions of users, but we still do not fully understand why users prefer one platform over another. Establishing new platforms among already popular competitors is difficult. Prior research has richly documented people's experiences within individual platforms, yet situating those experiences within the entirety of a user's social media experience remains challenging. What platforms have people used, and why have they transitioned between them? We collected data from a quota-based sample of 1,000 U.S. participants. We introduce the concept of emphSocial Media Journeys to study the entirety of their social media experiences systematically. We identify push and pull factors across the social media landscape. We also show how different generations adopted social media platforms based on personal needs. With this work, we advance HCI by moving towards holistic perspectives when discussing social media technology, offering new insights for platform design, governance, and regulation.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Degenhard2026ResponsibleTrauma,

title = {Responsible Trauma Research: Designing Effective and Sustainable Virtual Reality Exposure Studies},

author = {Annalisa Degenhard (Ulm University), Sophia Ppali (CYENS Centre of Excellence), Fotis Liarokapis (CYENS Centre of Excellence), Enrico Rukzio (Ulm University), Stefan Tschöke (Clinicfor Psychiatry and Psychotherapy I (Weissenau), Ulm University), Jennifer Spohrs (Departmentof Psychiatry, Psychotherapy and Psychotraumatology, Military Medical Centre; Department for Child and Adolescent Psychiatry and Psychotherapy, Ulm University Medical Centre)},

url = {https://www.uni-ulm.de/en/in/mi/, website 

https://youtu.be/r7dHvdqlNu4, full video 

https://www.linkedin.com/in/annalisa-degenhard-7950241b4, author's social media},

doi = {10.1145/3772318.3791964},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Virtual reality exposure therapy (VRET) enables controlled exposure to trauma-related stimulito facilitate memory access and emotional processing. However, the fi eld remainsunderexplored for complex post-traumatic stress disorder (C-PTSD). Unlike single-traumaPTSD, C-PTSD requires highly individualized triggers that are diffi cult to identify andimplement safely. We conducted a feasibility study with 11 patients, two trauma therapists,and a VR developer to explore integrating VRET into C-PTSD treatment while safeguarding allstakeholders. Initial fi ndings indicate that simple objects can be just as eff ective as complexscenes, therapeutic success does not correlate with VR presence levels, and the designprocess itself became integral to therapy rather than preparatory. However, involvingdevelopers in therapy sessions led to considerable emotional stress and role confusion, whichrequired a cautious approach. Based on these insights, we provide methodologicalrecommendations for safe and patient-centered VRET studies that balance therapeuticeff ectiveness with stakeholder safety across the research process.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schick2026RestAssured,

title = {Rest Assured: Detecting Mental Fatigue and Recovery with EEG Headphones},

author = {Lukas Schick (KIT), Emilia Frey (KIT), Felix Putze (University Bremen), Michael T. Knierim (KIT, University of Nottingham)},

url = {https://www.linkedin.com/in/dr-michael-knierim-13397881/, author's linkedin},

doi = {10.1145/3772318.3791781},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Mental fatigue, a common consequence of cognitively demanding work, impairs concentration and well-being, posing long-term health risks. Distinct from drowsiness, mental fatigue is reliably measured with EEG, yet conventional setups remain too cumbersome for everyday use. To overcome this barrier, this study investigates whether EEG headphones can detect mental fatigue and recovery across two common digital break activities: playing a video game and browsing social media. We conducted an experiment with consecutive task sessions and an intermittent break, collecting self-report, performance, and EEG data. Our results show that EEG headphones can detect mental fatigue and recovery dynamics via relative alpha power, and differentiate recovery effects between break types. Social media proved more restorative than gaming, with effects persisting into the subsequent task. These findings establish needed working principles for using headphone-EEG in naturalistic fatigue and recovery research, providing a foundation for future studies.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Liu2026SensingWhat,

title = {Sensing What Surveys Miss: Understanding and Personalizing Proactive LLM Support by User Modeling},

author = {Ailin Liu (LMU Munich, Munich, Germany; Munich Center for Machine Learning (MCML), Munich, Germany),, Yesmine Karoui (LMU Munich, Munich, Germany),, Fiona Draxler (University of Mannheim, Mannheim, Germany),, Frauke Kreuter (LMU Munich, Munich, Germany; University of Maryland, College Park, Maryland, United States),, Francesco Chiossi (LMU Munich, Munich, Germany)},

url = {https://www.stat.lmu.de/soda/en/, website},

doi = {10.1145/3772318.3791191},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Difficulty spillover and suboptimal help-seeking challenge the sequential, knowledge-intensive nature of digital tasks. In online surveys, tough questions can drain mental energy and hurt performance on later questions, while users often fail to recognize when they need assistance or may satisfy, lacking motivation to seek help. We developed a proactive, adaptive system using electrodermal activity and mouse movement to predict when respondents need support. Personalized classifiers with a rule-based threshold adaptation trigger timely LLM-based clarifications and explanations. In a within-subjects study (N=32), aligned-adaptive timing was compared to misaligned-adaptive and random-adaptive controls. Aligned-adaptive assistance improved response accuracy by 21%, reduced false negative rates from 50.9% to 22.9%, and improved perceived efficiency, dependability, and benevolence. Properly timed interventions prevent cascades of degraded responses, showing that aligning support with cognitive states improves both the outcomes and the user experience. This enables more effective, personalized LLM-assisted support in education, healthcare, and survey-based research.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Murtezaj2026SmallTalk,

title = {Small Talk, Big Impact: The Role of Everyday Conversations in Cybersecurity Practices},

author = {Doruntina Murtezaj (University of the Bundeswehr Munich/LMU Munich), Leonard Johannes Rössert (LMU Munich), Yomna Abdelrahman (University of the Bundeswehr Munich), Viktorija Paneva (LMU Munich), Florian Alt (LMU Munich/University of the Bundeswehr Munich)},

url = {https://www.medien.ifi.lmu.de/, website 

https://de.linkedin.com/company/lmu-media-informatics-group, lab's linkedin 

https://www.linkedin.com/in/doruntina-murtezaj-3334691a4/, author's linkedin},

doi = {10.1145/3772318.3791412},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Everyday talk is often treated as casual chatter, yet it plays a crucial role in how people acquire and share knowledge. Typically, cybersecurity practices are informed by formal training, but they often overlook the impact of social exchanges. This paper investigates how informal conversations can act as a socio-technical mechanism for shaping cybersecurity awareness and practices. We conducted an online survey (N=215) where participants described recent discussions about cybersecurity, including who was involved, where they took place, and what triggered them. Quantitative and thematic analysis revealed common contexts, social settings, and topics. Most conversations occurred spontaneously in private environments, with personal experiences being the most frequent trigger. We contribute empirical insights on informal security conversations to inform the design of human-centered technologies that surface and mediate security-related discussions in everyday contexts, to ensure implicit and continuous security awareness.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Luther2026TakePower,

title = {Take the Power Back: Screen-Based Personal Moderation Against Hate Speech on Instagram},

author = {Anna Ricarda Luther (Institut for Information Management GmbH, University of Bremen), Hendrik Heuer (Center for Advanced Internet Studies (CAIS)), Stephanie Geise (Centre for Media, Communication and Information, Research (ZeMKI), University of Bremen), Sebastian Haunss (Research Center on Inequality and, Social Policy (SOCIUM), University of Bremen), Andreas Breiter (Institute for Information Management Bremen GmbH, University of Bremen)},

url = {https://www.linkedin.com/in/anna-ricarda-luther/, author's linkedin 

https://www.linkedin.com/in/hendrikheuer/, author's linkedin 

https://hci.social/@hen_drik, hci.social 

https://bsky.app/profile/hheuer.bsky.social, bluesky},

doi = {10.1145/3772318.3790748},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Hate speech remains a pressing challenge on social media, where platform moderation often fails to protect targeted users. Personal moderation tools that let users decide how content is filtered can address some of these shortcomings. However, it remains an open question on which screens (e.g., the comments, the reels tab, or the home feed) users want personal moderation and which features they value most. To address these gaps, we conducted a three-wave Delphi study with 40 activists who experienced hate speech. We combined quantitative ratings and rankings with open questions about required features. Participants prioritized personal moderation for conversational and algorithmically curated screens. They valued features allowing for reversibility and oversight across screens, while input-based, content-type specific, and highly automated features are more screen specific. We discuss the importance of personal moderation and offer user-centered design recommendations for personal moderation on Instagram.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kosch2026AiAccomplice,

title = {The AI Accomplice: Exploring Generative Artificial Intelligence in Facilitating and Amplifying Deceptive Designs},

author = {Thomas Kosch (HU Berlin), Veronika Krauß (HS Ansbach), Christopher Katins (HU Berlin), Dominik Schön (TU Darmstadt), Mark McGill (University of Glasgow), Jan Gugenheimer (TU Darmstadt)},

url = {https://hcistudio.org, website},

doi = {10.1145/3772363.3778770},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {As generative Artificial Intelligence (AI) becomes increasingly embedded and utilized for digital design, it presents both opportunities and risks. One major concern is its potential to facilitate and incorporate deceptive design patterns into computing technologies, which could manipulate or mislead users to their disadvantage. Similar to the concept of precedent-based design, a common approach in design theory that suggests reapplying previous design solutions to similar or identical problems, generative AI can integrate deceptive design patterns included in the training data a model has seen before. Our workshop explores how generative AI suggests and enacts deceptive design patterns in digital design. The goal of the workshop is to explore the ethical challenges of utilizing generative AI models and develop strategies to detect or prevent manipulative practices, thereby creating more transparent and equitable AI-generated experiences.},

keywords = {Workshops},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bhattacharyya2026RolePersonality,

title = {The Role of Personality of Conversational Virtual Avatars on Proxemic Behaviour during Indoor Navigation},

author = {Rishab Bhattacharyya (TU Berlin), Wassim Al Shami (TU Berlin), Ceenu George (TU Berlin)},

url = {https://www.hci.tu-berlin.de/#/, website},

doi = {10.1145/3772318.3791241},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {As LLM-based Conversational Avatars increasingly act as collaborators in hybrid indoor navigation, understanding how their personality traits influence human-avatar proxemic behavior is becoming crucial. Prior work has largely examined personality effects in static or one-sided interactions such as sitting, standing, or approaching. However, there is a gap in research on how avatar personality and motion-related factors (e.g., walking speed) shape proxemics when both the human and avatar are in motion. To address this, we developed an AR indoor navigation system featuring a Conversational Virtual Avatar (CVA) with three distinct personalities: Dominant, Warm, and Conscientious. The CVA guides users to destinations within the environment. In a between-subjects study (𝑁=27), we found statistically significant effects of avatar personality and walking speed on proxemic behavior. Our work contributes to a broader understanding of the role of personality and walking speed of a CVA on human-avatar proxemic behaviour during navigation.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Fernndez2026ThroughLookingglass,

title = {Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement},

author = {Nelson Navajas Fernández (Bauhaus-Universität Weimar), Jeff Hancock (Stanford University), Maurice Jakesch (Bauhaus-Universität Weimar)},

url = {https://www.csslab.net/, website},

doi = {10.1145/3772318.3790845},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {AI-based tools that mediate, enhance or generate parts of online video communication may interfere with how people evaluate honesty, trustworthiness and credibility. In two pre-registered online experiments (N=2000), we examined whether AI-mediated video retouches, background replacements and avatars affect interpersonal trust, people’s ability to detect lies, and confidence in their judgments. Participants watched short videos of speakers making truthful or deceptive statements under three conditions with different levels of AI mediation. We observed that perceived trust and confidence in judgments decreased in AI-mediated videos, particularly when avatars were used and in mixed conditions. However, participants’ actual judgment accuracy remained unchanged, and they were no more inclined to suspect the other person of lying, even under strong AI mediation. Our findings provide evidence against the concern that AI mediation undermines people's ability to distinguish truth from lies, and against cue-based accounts of lie detection. They highlight the importance of trustworthy AI mediation tools in contexts like hiring, telemedicine or legal settings, where not just truth, but also trust and confidence carry consequences.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bumiller2026TooMany,

title = {Too Many Zombies: Exploring Challenges and Motivations for (Not) Deleting Unused Online Accounts},

author = {Franziska Bumiller (Friedrich-Alexander-Universität Erlangen-Nürnberg, LMU Munich), Sarah Delgado Rodriguez (University of the Bundeswehr Munich, LMU Munich), Lukas Mecke (LMU Munich), Verena Distler (Aalto University), Florian Alt (LMU Munich)},

url = {https://www.medien.ifi.lmu.de/, website 

https://www.linkedin.com/company/lmu-media-informatics-group/, lab's linkedin 

https://www.linkedin.com/company/usable-security-and-privacy-group-unibwm/, lab's linkedin 

https://www.instagram.com/mediagroup.lmu, instagram},

doi = {10.1145/3772318.3790497},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Unused online accounts (“zombie accounts”) pose avoidable privacy and security risks by retaining personal data that may be exposed in breaches. Yet, little is known about when and how to effectively prompt users to delete them. This work investigates the challenges users encounter when attempting to delete zombie accounts. We conducted two online studies with U.S. participants via Prolific: the accounts study (N = 120) to identify common zombie account categories, and the challenges study (N = 100) to examine users’ motivations, perceived abilities, and preferred moments for deletion. Participants reported high self-efficacy but underestimated the number of zombie accounts they had. We identify promising opportune moments — such as when updating account information or setting up a new device — and evaluate potential triggers, including breach notifications and data sensitivity. This work contributes an empirical characterization of end-users' diverse challenges related to zombie accounts and design recommendations for future deletion-support tools.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2026UserreconfiguredHaptics,

title = {User-reconfigured Haptics: Combining User-Reconfiguration and Visual Manipulations to Enhance Dynamic Passive Haptic Experiences for VR},

author = {Xinrong Wang (Saarland University, Saarland Informatics Campus (DFKI), Saarbrücken, Germany, xiwa05@dfki.de), Yu Jiang (Saarland University, Saarland Informatics Campus, Saarbrücken, Germany, yjiang@cs.uni-saarland.de), Martin Schmitz (University of Koblenz, Koblenz, Germany), Jürgen Steimle (Saarland University, Saarland Informatics Campus, Saarbrücken, Germany, yjiang@cs.uni-saarland.de), Antonio Krueger (Saarland Informatics Campus, DFKI, Saarbrücken, Germany, antonio.krueger@dfki.de), Donald Degraen (HIT Lab NZ, University of Canterbury, Christchurch, New Zealand, )},

url = {https://umtl.cs.uni-saarland.de/, website 

https://www.linkedin.com/feed/, author's linkedin},

doi = {10.1145/3772318.3793333},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {Virtual Reality (VR) depends on haptic feedback to create immersive experiences. Traditional passive proxies align physical props with their virtual counterparts but remain limited in scalability and expressiveness, or require bulky actuators to support reconfiguration. We introduce User-reconfigured Haptics, an approach that utilizes implicit user actions to reconfigure haptic interfaces to extend the gamut of VR haptic experiences. Modular 3D-printed cells are assembled into dynamic interfaces that express diverse haptic properties such as softness and weight. By masking physical reconfigurations with visual (re)mapping, user actions unnoticeably change haptic properties, resulting in user-driven, dynamic haptic experiences. User studies show that our design can provide distinguishable haptic experiences and is perceived as realistic and enjoyable in a VR task. We further showcase four applications: a fishing rod that changes weight and flexibility, a dynamic desktop of pressable buttons, a glove with adjustable squeezing, and a crossbow with variable pulling resistance.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Purohit2026WhenHandwriting,

title = {When Handwriting Goes Social: Creativity, Anonymity, and Communication in Graphonymous Online Spaces},

author = {Aditya Kumar Purohit ( CAIS ), Hendrik Heuer (CAIS)},

url = {https://www.linkedin.com/in/adityakumarpurohit/, author's linkedin},

doi = {10.1145/3772318.3790828},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {While most digital communication platforms rely on text, relatively little research has examined how users engage through handwriting and drawing in anonymous, collaborative environments. We introduce Graphonymous Interaction, a form of communication where users interact anonymously via handwriting and drawing. Our study analyzed over 600 canvas pages from the Graphonymous Online Space (GOS) CollaNote and conducted interviews with 20 users. Additionally, we examined 70 minutes of real-time GOS sessions using Conversation Analysis and Multimodal Discourse Analysis. Findings reveal that Graphonymous Interaction fosters artistic expression, intellectual engagement, sharing and supporting, and social connection. Notably, anonymity coexisted with moments of recognition through graphological identification. Distinct conversational strategies also emerged, enabling smoother exchanges and fewer conversational repairs compared to text-based communication. This study contributes to understanding Graphonymous Interaction and Online Spaces, offering insights into designing platforms that support creative and socially engaging forms of communication beyond text.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hilt2026WhyJohnny,

title = {Why Johnny Checks but Doesn’t Alert: Reporting as the Missing Step in Verifiable Internet Voting},

author = {Tobias Hilt (SECUSO, Karlsruhe Institute of Technology), Christian Mack (SECUSO, Karlsruhe Institute of Technology), Benjamin Maximilian Berens (SECUSO, Karlsruhe Institute of Technology), Melanie Volkamer (SECUSO, Karlsruhe Institute of Technology)},

url = {https://secuso.aifb.kit.edu/, website 

https://www.linkedin.com/company/secuso-research-group/posts/?feedView=all, lab's linkedin 

https://www.linkedin.com/in/tobias-hilt-800b9924b/, author's linkedin},

doi = {10.1145/3772318.3791035},

year  = {2026},

date = {2026-04-13},

urldate = {2026-04-13},

abstract = {End-to-end verifiable Internet voting promises that voters can remotely check whether their ballot was recorded correctly and that all ballots were tallied as cast. However, in order to achieve an adequate level of security, voters actually need to perform the first check. Our research focuses on the cast-then-audit approach for this check. We use related work to improve this approach in particular by providing a step-by-step guide. We conducted a deceptive online user study (N=437) to compare our improved system with a baseline version from an actual election. We also measured the usability and participants confidence in using such systems. Our findings show that participants from the improved system perform significantly better than the baseline w.r.t. manipulation detecting and reporting capabilities. Furthermore, we show that it is important to distinguish between detection and reporting to understand how to further increase the overall security.},

keywords = {Papers},

pubstate = {published},

tppubtype = {inproceedings}

}