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  • CollabAR_CHI2020

    Rights statement: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1 April 2020 https://dl.acm.org/doi/abs/10.1145/3313831.3376541

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CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date1/04/2020
Host publicationCHI '20: CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Pages1-13
Number of pages13
ISBN (electronic)9781450367080
<mark>Original language</mark>English
EventCHI 2020 - Honololu, Hawaii
Duration: 25/04/202030/04/2020
https://chi2020.acm.org/

Conference

ConferenceCHI 2020
Period25/04/2030/04/20
Internet address

Conference

ConferenceCHI 2020
Period25/04/2030/04/20
Internet address

Abstract

Mobile Augmented Reality (AR) technology is enabling new applications for different domains including architecture, education or medical work. As AR interfaces project digital data, information and models into the real world, it allows for new forms of collaborative work. However, despite the wide availability of AR applications, very little is known about how AR interfaces mediate and shape collaborative practices. This paper presents a study which examines how a mobile AR (M-AR) interface for inspecting and discovering AR models of varying complexity impacts co-located group practices. We contribute new insights into how current mobile AR interfaces impact co-located collaboration. Our results show that M-AR interfaces induce high mental load and frustration, cause a high number of context switches between devices and group discussion, and overall leads to a reduction in group interaction. We present design recommendations for future work focusing on collaborative AR interfaces.

Bibliographic note

© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1 April 2020 https://dl.acm.org/doi/abs/10.1145/3313831.3376541