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DTSTART;TZID=America/New_York:20220502T163000
DTEND;TZID=America/New_York:20220502T164500
DTSTAMP:20260416T100945
CREATED:20220422T095235Z
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UID:1754-1651509000-1651509900@www.germanhci.de
SUMMARY:ReLive: Bridging In-Situ and Ex-Situ Visual Analytics for Analyzing Mixed Reality User Studies
DESCRIPTION:The nascent field of mixed reality is seeing an ever-increasing need for user studies and field evaluation\, which are particularly challenging given device heterogeneity\, diversity of use\, and mobile deployment. Immersive analytics tools have recently emerged to support such analysis in situ\, yet the complexity of the data also warrants an ex-situ analysis using more traditional non-immersive visual analytics setups. To bridge the gap between both approaches\, we introduce ReLive: a mixed-immersion visual analytics framework for exploring and analyzing mixed reality user studies. ReLive combines an in-situ virtual reality view with a complementary ex-situ desktop view. While the virtual reality view allows users to relive interactive spatial recordings replicating the original study\, the synchronized desktop view provides a familiar interface for analyzing aggregated data. We validated our concepts in a two-step evaluation consisting of a design walkthrough and an empirical expert user study.
URL:https://www.germanhci.de/event/relive-bridging-in-situ-and-ex-situ-visual-analytics-for-analyzing-mixed-reality-user-studies/
LOCATION:Room: 293
CATEGORIES:Immersion and Interaction in Visualization
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DTSTART;TZID=America/New_York:20220502T161500
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DTSTAMP:20260416T100945
CREATED:20220422T100103Z
LAST-MODIFIED:20220426T150235Z
UID:1809-1651508100-1651509000@www.germanhci.de
SUMMARY:AvatAR: An Immersive Analysis Environment for Human Motion Data Combining Interactive 3D Avatars and Trajectories
DESCRIPTION:Analysis of human motion data can reveal valuable insights about the utilization of space and interaction of humans with their environment. To support this\, we present AvatAR\, an immersive analysis environment for the in-situ visualization of human motion data\, that combines 3D trajectories\, virtual avatars of people’s movement\, and a detailed representation of their posture. Additionally\, we describe how to embed visualizations directly into the environment\, showing what a person looked at or what surfaces they touched\, and how the avatar’s body parts can be used to access and manipulate those visualizations. AvatAR combines an AR HMD with a tablet to provide both mid-air and touch interaction for system control\, as well as an additional overview to help users navigate the environment. We implemented a prototype and present several scenarios to show that AvatAR can enhance the analysis of human motion data by making data not only explorable\, but experienceable.
URL:https://www.germanhci.de/event/avatar-an-immersive-analysis-environment-for-human-motion-data-combining-interactive-3d-avatars-and-trajectories/
LOCATION:Room: 293
CATEGORIES:Immersion and Interaction in Visualization
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