ReLive: Bridging In-Situ and Ex-Situ Visual Analytics for Analyzing Mixed Reality User Studies

要旨

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.

著者
Sebastian Hubenschmid
University of Konstanz, Konstanz, Germany
Jonathan Wieland
University of Konstanz, Konstanz, Germany
Daniel Immanuel. Fink
University of Konstanz, Konstanz, Germany
Andrea Batch
University of Maryland, College Park, College Park, Maryland, United States
Johannes Zagermann
University of Konstanz, Konstanz, Germany
Niklas Elmqvist
University of Maryland, College Park, College Park, Maryland, United States
Harald Reiterer
University of Konstanz, Konstanz, Germany
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517550

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Immersion and Interaction in Visualization

293
4 件の発表
2022-05-03 01:15:00
2022-05-03 02:30:00