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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

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CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration. / Wells, Thomas; Houben, Steven.

CHI '20: CHI Conference on Human Factors in Computing Systems. New York : ACM, 2020. p. 1-13.

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

Harvard

Wells, T & Houben, S 2020, CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration. in CHI '20: CHI Conference on Human Factors in Computing Systems. ACM, New York, pp. 1-13, CHI 2020, 25/04/20. https://doi.org/10.1145/3313831.3376541

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Author

Wells, Thomas ; Houben, Steven. / CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration. CHI '20: CHI Conference on Human Factors in Computing Systems. New York : ACM, 2020. pp. 1-13

Bibtex

@inproceedings{0322fe2b025844998bdc813c93934ce0,
title = "CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration",
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.",
keywords = "Mobile augmented reality, co-located collaboration",
author = "Thomas Wells and Steven Houben",
note = "{\textcopyright} 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; CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "1",
doi = "10.1145/3313831.3376541",
language = "English",
pages = "1--13",
booktitle = "CHI '20: CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
url = "https://chi2020.acm.org/",

}

RIS

TY - GEN

T1 - CollabAR - Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration

AU - Wells, Thomas

AU - Houben, Steven

N1 - © 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

PY - 2020/4/1

Y1 - 2020/4/1

N2 - 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.

AB - 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.

KW - Mobile augmented reality

KW - co-located collaboration

U2 - 10.1145/3313831.3376541

DO - 10.1145/3313831.3376541

M3 - Conference contribution/Paper

SP - 1

EP - 13

BT - CHI '20: CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

T2 - CHI 2020

Y2 - 25 April 2020 through 30 April 2020

ER -