research-article

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The Impact of Displaying Diversity Information on the Formation of Self-assembling Teams

Authors:

Diego Gómez-Zará,

Leslie A. DeChurch,

Noshir ContractorAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 15

https://doi.org/10.1145/3313831.3376654

Published: 23 April 2020 Publication History

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Abstract

Despite the benefits of team diversity, individuals often choose to work with similar others. Online team formation systems have the potential to help people assemble diverse teams. Systems can connect people to collaborators outside their networks, and features can quantify and raise the salience of diversity to users as they search for prospective teammates. But if we build a feature indicating diversity into the tool, how will people react to it? Two experiments manipulating the presence or absence of a "diversity score" feature within a teammate recommender demonstrate that, when present, individuals avoid collaborators who would increase team diversity in favor of those who lower team diversity. These results have important practical implications. Though the increased access to diverse teammates provided by recommender systems may benefit diversity, designers are cautioned against creating features that raise the salience of diversity as this information may undermine diversity.

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Hastings EOjha VAustriaco BKarahalios KBailey B(2023)Composing Team Compositions: An Examination of Instructors' Current Algorithmic Team Formation PracticesProceedings of the ACM on Human-Computer Interaction10.1145/36100967:CSCW2(1-24)Online publication date: 4-Oct-2023
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Index Terms

The Impact of Displaying Diversity Information on the Formation of Self-assembling Teams
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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CHI '20

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

April 25 - 30, 2020

HI, Honolulu, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Zhuang KGoggin G(2024)New possibilities or problems for disability and inclusion? The case of AI and ADMs across workTelematics and Informatics10.1016/j.tele.2024.10215692(102156)Online publication date: Aug-2024
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Hastings EOjha VAustriaco BKarahalios KBailey B(2023)Composing Team Compositions: An Examination of Instructors' Current Algorithmic Team Formation PracticesProceedings of the ACM on Human-Computer Interaction10.1145/36100967:CSCW2(1-24)Online publication date: 4-Oct-2023
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Musick GGilman EDuan WMcNeese NKnijnenburg BO'Neill T(2023)Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender SystemProceedings of the ACM on Human-Computer Interaction10.1145/36100757:CSCW2(1-34)Online publication date: 4-Oct-2023
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Musick GHauptman AFlathmann CMcNeese NKnijnenburg B(2023)Recommendations with Benefits: Exploring Explanations in Information Sharing Recommender Systems for Temporary TeamsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2278933(1-17)Online publication date: 20-Nov-2023
https://doi.org/10.1080/10447318.2023.2278933
Vinella FMosch RLykourentzou IMasthoff JBellogin ABoratto LSantos OArdissono LKnijnenburg B(2022)The Impact of Digital Nudging Techniques on the Formation of Self-Assembled Crowd Project TeamsProceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3503252.3531298(265-275)Online publication date: 4-Jul-2022
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Umbelino GYarmand MBlake STa VLuo ADow S(2021)ProtoTeamsProceedings of the ACM on Human-Computer Interaction10.1145/34341824:CSCW3(1-27)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3434182
Vinella FLykourentzou IMasthoff J(2021)Users' Preferences of Profiling Attributes on Crowdsourcing Team Formation Systems2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)10.1109/SMAP53521.2021.9610773(1-10)Online publication date: 4-Nov-2021
https://doi.org/10.1109/SMAP53521.2021.9610773
Zhou JHahn J(undefined)Making the Crowd Wiser: (Re)combination through Teaming in CrowdsourcingSSRN Electronic Journal10.2139/ssrn.3956387
https://doi.org/10.2139/ssrn.3956387

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