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Protecting artificial team-mates: more seems like less

Authors:

Kevin McGeeAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2793 - 2802

https://doi.org/10.1145/2207676.2208680

Published: 05 May 2012 Publication History

Abstract

Previous research on conversational, competitive, and cooperative systems suggests that people respond differently to humans and AI agents in terms of perception and evaluation of observed team-mate behavior. However, there has not been research examining the relationship between participants' protective behavior toward human/AI team-mates and their beliefs about their behavior. A study was conducted in which 32 participants played two sessions of a cooperative game, once with a "presumed" human and once with an AI team-mate; players could "draw fire" from a common enemy by "yelling" at it. Overwhelmingly, players claimed they "drew fire" on behalf of the presumed human more than for the AI team-mate; logged data indicates the opposite. The main contribution of this paper is to provide evidence of the mismatch in player beliefs about their actions and actual behavior with humans or agents and provides possible explanations for the differences.

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Yin XGorman J(2024)Exploring Dynamic Influences on Trust in Human-Autonomy Teaming: An Entropy and Event Layer AnalysisProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241286505Online publication date: 5-Oct-2024
https://doi.org/10.1177/10711813241286505
Duan WZhou SScalia MYin XWeng NZhang RFreeman GMcNeese NGorman JTolston M(2024)Understanding the Evolvement of Trust Over Time within Human-AI TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36870608:CSCW2(1-31)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687060
Huber SPapenfuß NWeppert LWohlfart VBasch JHappel OGrundgeiger T(2024)Hiring an AI: Incorporating Personnel Selection Methods in User-Centered Design to Design AI Agents for Safety-Critical DomainsAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685418(1-9)Online publication date: 13-Oct-2024
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Index Terms

Protecting artificial team-mates: more seems like less
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

Copyright © 2012 ACM.

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Published: 05 May 2012

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https://doi.org/10.1177/10711813241286505
Duan WZhou SScalia MYin XWeng NZhang RFreeman GMcNeese NGorman JTolston M(2024)Understanding the Evolvement of Trust Over Time within Human-AI TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36870608:CSCW2(1-31)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687060
Huber SPapenfuß NWeppert LWohlfart VBasch JHappel OGrundgeiger T(2024)Hiring an AI: Incorporating Personnel Selection Methods in User-Centered Design to Design AI Agents for Safety-Critical DomainsAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685418(1-9)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3677045.3685418
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Ishowo-Oloko FBonnefon JSoroye ZCrandall JRahwan IRahwan T(2019)Behavioural evidence for a transparency–efficiency tradeoff in human–machine cooperationNature Machine Intelligence10.1038/s42256-019-0113-51:11(517-521)Online publication date: 12-Nov-2019
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