abstract

Are artificial team-mates scapegoats in computer games

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Kevin McGeeAuthors Info & Claims

CSCW '11: Proceedings of the ACM 2011 conference on Computer supported cooperative work

Pages 685 - 688

https://doi.org/10.1145/1958824.1958945

Published: 19 March 2011 Publication History

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Abstract

In cooperative games that involve team-mates that are controlled by either a computer or another human player, is there a difference in how humans assign credit or blame? There has been some related work on computers as team-mates and credit/blame assignment, but there does not seem to have been work to show whether the belief that a team-mate is human or not affects this. A qualitative study was conducted, in which 16 participants played variations of a team-based game with one of four kinds of team-mates: human (real or perceived) or AI (real or perceived). The two main findings of this research are that the perception of whether a team-mate is human or computer results in different credit/blame assignment and results in inaccurate skill assessment.

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Index Terms

Are artificial team-mates scapegoats in computer games
1. Human-centered computing

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Published In

CSCW '11: Proceedings of the ACM 2011 conference on Computer supported cooperative work

March 2011

764 pages

ISBN:9781450305563

DOI:10.1145/1958824

General Chairs:
Pamela Hinds
Stanford University, USA
,
John C. Tang
Microsoft Research, USA
,
Jian Wang
Alibaba Group, China
,
Program Chairs:
Jakob Bardram
IT University of Copenhagen, Denmark
,
Nicolas Ducheneaut
PARC, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 March 2011

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CSCW '11

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SIGCHI

CSCW '11: Computer Supported Cooperative Work

March 19 - 23, 2011

Hangzhou, China

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Zhang RFlathmann CMusick GSchelble BMcNeese NKnijnenburg BDuan W(2023)I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI TeamsACM Transactions on Interactive Intelligent Systems10.1145/363547414:1(1-23)Online publication date: 2-Dec-2023
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Zhang RDuan WFlathmann CMcNeese NFreeman GWilliams A(2023)Investigating AI Teammate Communication Strategies and Their Impact in Human-AI Teams for Effective TeamworkProceedings of the ACM on Human-Computer Interaction10.1145/36100727:CSCW2(1-31)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610072
Munyaka IAshktorab ZDugan CJohnson JPan Q(2023)Decision Making Strategies and Team Efficacy in Human-AI TeamsProceedings of the ACM on Human-Computer Interaction10.1145/35794767:CSCW1(1-24)Online publication date: 16-Apr-2023
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Kim JCho Y(2023)My teammate is AI: understanding students’ perceptions of student-AI collaboration in drawing tasksAsia Pacific Journal of Education10.1080/02188791.2023.2286206(1-15)Online publication date: 29-Nov-2023
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Mallick RSawant SMcNeese NChalil Madathil K(2022)Designing for Mutually Beneficial Decision Making in Human-Agent TeamingProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118132266135866:1(392-396)Online publication date: 27-Oct-2022
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