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Hubenschmid, Sebastian [Author]; Wieland, Jonathan [Author]; Fink, Daniel I. [Author]; Batch, Andrea [Author]; Zagermann, Johannes [Author]; Elmqvist, Niklas [Author]; Reiterer, Harald [Author]

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

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  • Media type: Text; Electronic Conference Proceeding
  • Title: ReLive : Bridging In-Situ and Ex-Situ Visual Analytics for Analyzing Mixed Reality User Studies
  • Contributor: Hubenschmid, Sebastian [Author]; Wieland, Jonathan [Author]; Fink, Daniel I. [Author]; Batch, Andrea [Author]; Zagermann, Johannes [Author]; Elmqvist, Niklas [Author]; Reiterer, Harald [Author]
  • imprint: KOPS - The Institutional Repository of the University of Konstanz, 2022
  • Language: English
  • DOI: https://doi.org/10.1145/3491102.3517550
  • ISBN: 1795283467
  • Keywords: Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Virtual reality ; Human-centered computing > Visualization > Visualization application domains > Visual analytics ; Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User studies
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  • 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. ; published
  • Access State: Open Access
  • Rights information: Attribution (CC BY)