Towards Collaborative Immersive Qualitative Analysis

Jacob Gorm Davidsen; Paul McIlvenny

Towards Collaborative Immersive Qualitative Analysis

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	15th International Conference on Computer-Supported Collaborative Learning (CSCL)
Editors	Armin Weinberger, Wenli Chen, Davinia Hernandez-Leo, Bodong Chen
Number of pages	4
Publisher	International Society of the Learning Sciences (ISLS)
Publication date	May 2022
Pages	304-307
ISBN (Electronic)	978-1-7373306-4-6
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

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

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Davidsen, J. G., & McIlvenny, P. (2022). Towards Collaborative Immersive Qualitative Analysis. In A. Weinberger, W. Chen, D. Hernandez-Leo, & B. Chen (Eds.), 15th International Conference on Computer-Supported Collaborative Learning (CSCL) (pp. 304-307). International Society of the Learning Sciences (ISLS). https://www.dropbox.com/s/9mwx6t8mi75op15/CSCL2022%20Proceedings.pdf?dl=0

Davidsen, Jacob Gorm ; McIlvenny, Paul. / Towards Collaborative Immersive Qualitative Analysis. 15th International Conference on Computer-Supported Collaborative Learning (CSCL). editor / Armin Weinberger ; Wenli Chen ; Davinia Hernandez-Leo ; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. pp. 304-307 (Computer-Supported Collaborative Learning Conference, CSCL).

@inproceedings{adb4103f37854c15a1037d44b97567ce,

title = "Towards Collaborative Immersive Qualitative Analysis",

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.",

keywords = "Collaborative Immersive Qualitative Analysis, Interaction Analysis, CSCL, Virtual Reality, 360VR",

author = "Davidsen, {Jacob Gorm} and Paul McIlvenny",

year = "2022",

month = may,

language = "English",

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

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

pages = "304--307",

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",

}

Davidsen, JG & McIlvenny, P 2022, Towards Collaborative Immersive Qualitative Analysis. in A Weinberger, W Chen, D Hernandez-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. 304-307, 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>

Towards Collaborative Immersive Qualitative Analysis. / Davidsen, Jacob Gorm ; McIlvenny, Paul.
15th International Conference on Computer-Supported Collaborative Learning (CSCL). ed. / Armin Weinberger; Wenli Chen; Davinia Hernandez-Leo; Bodong Chen. International Society of the Learning Sciences (ISLS), 2022. p. 304-307 (Computer-Supported Collaborative Learning Conference, CSCL).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Towards Collaborative Immersive Qualitative Analysis

AU - Davidsen, Jacob Gorm

AU - McIlvenny, Paul

N1 - Conference code: 15

PY - 2022/5

Y1 - 2022/5

N2 - 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.

AB - 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.

KW - Collaborative Immersive Qualitative Analysis

KW - Interaction Analysis

KW - CSCL

KW - Virtual Reality

KW - 360VR

UR - https://doi.org/10.5281/zenodo.6365443

UR - http://www.scopus.com/inward/record.url?scp=85145580111&partnerID=8YFLogxK

M3 - Article in proceeding

T3 - Computer-Supported Collaborative Learning Conference, CSCL

SP - 304

EP - 307

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 -

Towards Collaborative Immersive Qualitative Analysis

Abstract

Conference

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CAVA360VR: Collaborate, Annotate, Visualise, Analyse 360 Video in Virtual Reality

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Towards Collaborative Immersive Qualitative Analysis

Abstract

Conference

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

CAVA360VR: Collaborate, Annotate, Visualise, Analyse 360 Video in Virtual Reality

DigHumLab

Cite this