Abstract

In this paper, we explore how researchers in Immersive Virtual Reality (IVR)
collaboratively analyse how copresent students interactively identify problems based on video
data recorded with multiple 2D and 360  cameras. We are working with a double data set – the
original recordings and a recording of the analysis performed in IVR. The focus is on how IVR
can be used to analyse 360  video data by a distributed team of researchers. We outline a new
methodological approach called Collaborative Immersive Qualitative Analysis (CIQA). In
contrast to the branch of work in CSCL that focuses on machine analytics, we present a
methodology and software that allows researchers to inhabit the captured scene with tools that
encourage a more immersive take on interaction analysis. Until now, IVR has primarily been
used as a tool for individual cognitive training, but we suggest that IVR can be used to support
a collaborative, volumetric research infrastructure.
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)
Pages304-307
Publication statusAccepted/In press - 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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