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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Editors	Armin Weinberger, Wenli Chen, Davinia Hernández-Leo, Bodong Chen
Publisher	International Society of the Learning Sciences (ISLS)
Publication date	May 2022
Pages	296-299
Publication status	Published - May 2022
Event	15th International Conference on Computer-Supported Collaborative Learning (CSCL) - Japan, Japen, Japan Duration: 6 Jun 2022 → 10 Jun 2022 Conference number: 15

Conference

Conference	15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Number	15
Location	Japan
Country/Territory	Japan
City	Japen
Period	06/06/2022 → 10/06/2022

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

Access to Document

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 → …
Project: Research

Cite this

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. In A. Weinberger, W. Chen, D. Hernández-Leo, & B. Chen (Eds.), 15th International Conference on Computer-Supported Collaborative Learning (CSCL) (pp. 296-299). International Society of the Learning Sciences (ISLS). Computer-Supported Collaborative Learning Conference, CSCL 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). editor / Armin Weinberger ; Wenli Chen ; Davinia Hernández-Leo ; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. pp. 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 presentcollaborative learning activities. Recently, the use of eye-tracking and sensor tracking ofmovement has been used along with video data. These new computer-supported analytics cantackle big data sets, but we suggest that volumetric data is also important to explore qualitativelyin the context of CSCL. While it is impractical to capture collaborative activities volumetricallyin 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 usingVolumetric Capture and Replay (VolCap). In this paper, we present a VolCap solution forimmersive analysis of video data in CSCL. With this solution, researchers can inhabit earlieranalyses using AVA360VR and follow all the virtual actions performed by the VolCappervolumetrically.",

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 = "Weinberger, {Armin } and { Chen}, Wenli and Hern{\'a}ndez-Leo, {Davinia } and Chen, {Bodong }",

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

note = "null ; 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. in A Weinberger, W Chen, D Hernández-Leo & B Chen (eds), 15th International Conference on Computer-Supported Collaborative Learning (CSCL). International Society of the Learning Sciences (ISLS), Computer-Supported Collaborative Learning Conference, CSCL, pp. 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). ed. / Armin Weinberger; Wenli Chen; Davinia Hernández-Leo; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. p. 296-299 (Computer-Supported Collaborative Learning Conference, CSCL).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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 presentcollaborative learning activities. Recently, the use of eye-tracking and sensor tracking ofmovement has been used along with video data. These new computer-supported analytics cantackle big data sets, but we suggest that volumetric data is also important to explore qualitativelyin the context of CSCL. While it is impractical to capture collaborative activities volumetricallyin 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 usingVolumetric Capture and Replay (VolCap). In this paper, we present a VolCap solution forimmersive analysis of video data in CSCL. With this solution, researchers can inhabit earlieranalyses using AVA360VR and follow all the virtual actions performed by the VolCappervolumetrically.

AB - Throughout the history of CSCL, video has been used to capture, analyze and presentcollaborative learning activities. Recently, the use of eye-tracking and sensor tracking ofmovement has been used along with video data. These new computer-supported analytics cantackle big data sets, but we suggest that volumetric data is also important to explore qualitativelyin the context of CSCL. While it is impractical to capture collaborative activities volumetricallyin 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 usingVolumetric Capture and Replay (VolCap). In this paper, we present a VolCap solution forimmersive analysis of video data in CSCL. With this solution, researchers can inhabit earlieranalyses using AVA360VR and follow all the virtual actions performed by the VolCappervolumetrically.

KW - Volumetric capture

KW - Virtual Reality

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 - Hernández-Leo, Davinia

A2 - Chen, Bodong

PB - International Society of the Learning Sciences (ISLS)

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. In Weinberger A, Chen W, Hernández-Leo D, Chen B, editors, 15th International Conference on Computer-Supported Collaborative Learning (CSCL). International Society of the Learning Sciences (ISLS). 2022. p. 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

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