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"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics

Authors:

Raphael P. Weibel,

Stefan Feuerriegel,

Andrea FerrarioAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2

Article No.: 479, Pages 1 - 23

https://doi.org/10.1145/3555580

Published: 11 November 2022 Publication History

Abstract

Immersive analytics has the potential to promote collaboration in machine learning (ML). This is desired due to the specific characteristics of ML modeling in practice, namely the complexity of ML, the interdisciplinary approach in industry, and the need for ML interpretability. In this work, we introduce an augmented reality-based system for collaborative immersive analytics that is designed to support ML modeling in interdisciplinary teams. We conduct a user study to examine how collaboration unfolds when users with different professional backgrounds and levels of ML knowledge interact in solving different ML tasks. Specifically, we use the pair analytics methodology and performance assessments to assess collaboration and explore their interactions with each other and the system. Based on this, we provide qualitative and quantitative results on both teamwork and taskwork during collaboration. Our results show how our system elicits sustained collaboration as measured along six distinct dimensions. We finally make recommendations how immersive systems should be designed to elicit sustained collaboration in ML modeling.

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Cited By

Bernstetter AKwasnitschka TKarstens JSchlüter MPeters I(2025)Virtual fieldwork in immersive environments using game enginesComputers & Geosciences10.1016/j.cageo.2025.105855196(105855)Online publication date: Feb-2025
https://doi.org/10.1016/j.cageo.2025.105855
Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Syiem BTürkay S(2024)A systematic exploration of collaborative immersive systems for sense-making in STEMBehaviour & Information Technology10.1080/0144929X.2024.2441963(1-30)Online publication date: 18-Dec-2024
https://doi.org/10.1080/0144929X.2024.2441963

Index Terms

"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
1. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue CSCW2

CSCW

November 2022

8205 pages

EISSN:2573-0142

DOI:10.1145/3571154

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Published: 11 November 2022

Published in PACMHCI Volume 6, Issue CSCW2

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Cited By

Bernstetter AKwasnitschka TKarstens JSchlüter MPeters I(2025)Virtual fieldwork in immersive environments using game enginesComputers & Geosciences10.1016/j.cageo.2025.105855196(105855)Online publication date: Feb-2025
https://doi.org/10.1016/j.cageo.2025.105855
Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Syiem BTürkay S(2024)A systematic exploration of collaborative immersive systems for sense-making in STEMBehaviour & Information Technology10.1080/0144929X.2024.2441963(1-30)Online publication date: 18-Dec-2024
https://doi.org/10.1080/0144929X.2024.2441963

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