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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer 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.

Originalsprog	Engelsk
Titel	15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Redaktører	Armin Weinberger, Wenli Chen, Davinia Hernandez-Leo, Bodong Chen
Antal sider	4
Forlag	International Society of the Learning Sciences (ISLS)
Publikationsdato	maj 2022
Sider	296-299
ISBN (Elektronisk)	9781737330646
Status	Udgivet - maj 2022
Begivenhed	15th International Conference on Computer-Supported Collaborative Learning (CSCL) - Japan, Japen, Japan Varighed: 6 jun. 2022 → 10 jun. 2022 Konferencens nummer: 15

Konference

Konference	15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Nummer	15
Lokation	Japan
Land/Område	Japan
By	Japen
Periode	06/06/2022 → 10/06/2022

Navn	Computer-Supported Collaborative Learning Conference, CSCL
ISSN	1573-4552

Emneord

Volumetric capture
Virtual Reality

Adgang til dokumentet

https://www.dropbox.com/s/9mwx6t8mi75op15/CSCL2022%20Proceedings.pdf?dl=0

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DigHumLab
Ryberg, T., Raudaskoski, P. L., Otrel-Cass, K., McIlvenny, P. B., Davidsen, J. G., Dirckinck-Holmfeld, L., Larsen, M. C., Vuust, J., Mouritzen, P., Laursen, M. R. & Christensen, L. L.
Forsknings- og uddannelses-ministeriet
01/01/2013 → …
Projekter: Projekt › Forskning

Citationsformater

Davidsen, J. G., McIlvenny, P., & Kovács, A. B. (2022). Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL. I A. Weinberger, W. Chen, D. Hernandez-Leo, & B. Chen (red.), 15th International Conference on Computer-Supported Collaborative Learning (CSCL) (s. 296-299). International Society of the Learning Sciences (ISLS). https://www.dropbox.com/s/9mwx6t8mi75op15/CSCL2022%20Proceedings.pdf?dl=0

Davidsen, Jacob Gorm ; McIlvenny, Paul ; Kovács, Artúr Barnabás. / Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL. 15th International Conference on Computer-Supported Collaborative Learning (CSCL). red. / Armin Weinberger ; Wenli Chen ; Davinia Hernandez-Leo ; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. s. 296-299 (Computer-Supported Collaborative Learning Conference, CSCL).

@inproceedings{454b5d274f8a405c8853a4dacd2df05f,

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

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.",

keywords = "Volumetric capture, Virtual Reality",

author = "Davidsen, {Jacob Gorm} and Paul McIlvenny and Kov{\'a}cs, {Art{\'u}r Barnab{\'a}s}",

year = "2022",

month = may,

language = "English",

series = "Computer-Supported Collaborative Learning Conference, CSCL",

publisher = "International Society of the Learning Sciences (ISLS)",

pages = "296--299",

editor = "Armin Weinberger and Wenli Chen and Davinia Hernandez-Leo and Bodong Chen",

booktitle = "15th International Conference on Computer-Supported Collaborative Learning (CSCL)",

note = "15th International Conference on Computer-Supported Collaborative Learning (CSCL) ; Conference date: 06-06-2022 Through 10-06-2022",

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Davidsen, JG , McIlvenny, P & Kovács, AB 2022, Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL. i A Weinberger, W Chen, D Hernandez-Leo & B Chen (red), 15th International Conference on Computer-Supported Collaborative Learning (CSCL). International Society of the Learning Sciences (ISLS), Computer-Supported Collaborative Learning Conference, CSCL, s. 296-299, 15th International Conference on Computer-Supported Collaborative Learning (CSCL), Japen, Japan, 06/06/2022. <https://www.dropbox.com/s/9mwx6t8mi75op15/CSCL2022%20Proceedings.pdf?dl=0>

Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL. / Davidsen, Jacob Gorm ; McIlvenny, Paul; Kovács, Artúr Barnabás.
15th International Conference on Computer-Supported Collaborative Learning (CSCL). red. / Armin Weinberger; Wenli Chen; Davinia Hernandez-Leo; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. s. 296-299 (Computer-Supported Collaborative Learning Conference, CSCL).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL

AU - Davidsen, Jacob Gorm

AU - McIlvenny, Paul

AU - Kovács, Artúr Barnabás

N1 - Conference code: 15

PY - 2022/5

Y1 - 2022/5

N2 - 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.

AB - 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.

KW - Volumetric capture

KW - Virtual Reality

UR - http://www.scopus.com/inward/record.url?scp=85145557737&partnerID=8YFLogxK

M3 - Article in proceeding

T3 - Computer-Supported Collaborative Learning Conference, CSCL

SP - 296

EP - 299

BT - 15th International Conference on Computer-Supported Collaborative Learning (CSCL)

A2 - Weinberger, Armin

A2 - Chen, Wenli

A2 - Hernandez-Leo, Davinia

A2 - Chen, Bodong

PB - International Society of the Learning Sciences (ISLS)

T2 - 15th International Conference on Computer-Supported Collaborative Learning (CSCL)

Y2 - 6 June 2022 through 10 June 2022

ER -

Davidsen JG , McIlvenny P, Kovács AB. Volumetric Capture and Replay in Virtual Reality – Entering the age of immersive and volumetric analysis in CSCL. I Weinberger A, Chen W, Hernandez-Leo D, Chen B, red., 15th International Conference on Computer-Supported Collaborative Learning (CSCL). International Society of the Learning Sciences (ISLS). 2022. s. 296-299. (Computer-Supported Collaborative Learning Conference, CSCL).

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

Abstract

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