Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL

Jacob Gorm Davidsen, Paul McIlvenny, Artúr Barnabás Kovács

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Throughout the history of CSCL, video has been used to capture, analyze and present
collaborative learning activities. Recently, the use of eye-tracking and sensor tracking of
movement has been used along with video data. These new computer-supported analytics can
tackle big data sets, but we suggest that volumetric data is also important to explore qualitatively
in the context of CSCL. While it is impractical to capture collaborative activities volumetrically
in everyday physical space, it is feasible in Immersive Virtual Reality (IVR). In IVR,
researchers are offered new opportunities for keeping track of and sharing an analysis using
Volumetric Capture and Replay (VolCap). In this paper, we present a VolCap solution for
immersive analysis of video data in CSCL. With this solution, researchers can inhabit earlier
analyses using AVA360VR and follow all the virtual actions performed by the VolCapper
volumetrically.
Original languageEnglish
Title of host publication15th International Conference on Computer-Supported Collaborative Learning (CSCL)
EditorsArmin Weinberger, Wenli Chen, Davinia Hernández-Leo, Bodong Chen
PublisherInternational Society of the Learning Sciences (ISLS)
Publication dateMay 2022
Pages296-299
Publication statusPublished - May 2022
Event15th International Conference on Computer-Supported Collaborative Learning (CSCL) - Japan, Japen, Japan
Duration: 6 Jun 202210 Jun 2022
Conference number: 15

Conference

Conference15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Number15
LocationJapan
Country/TerritoryJapan
CityJapen
Period06/06/202210/06/2022
SeriesComputer-Supported Collaborative Learning Conference, CSCL
ISSN1573-4552

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