Protecting artificial team-mates: More seems like less

Tim Merritt*, Kevin McGee

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

15 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationConference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Number of pages10
Publication date24 May 2012
Pages2793-2802
ISBN (Print)9781450310154
DOIs
Publication statusPublished - 24 May 2012
Externally publishedYes
Event30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States
Duration: 5 May 201210 May 2012

Conference

Conference30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Country/TerritoryUnited States
CityAustin, TX
Period05/05/201210/05/2012
SponsorACM Spec. Interest Group Comput.-Hum. Interact. (ACM SIGCHI), Autodesk, Bloomberg, Google, ebaY

Keywords

  • CASA
  • CSCP
  • Team-mate

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