Are artificial team-mates scapegoats in computer games

Authors:
Tim R. Merritt;Kian Boon Tan;Christopher Ong;Aswin Thomas;Teong Leong Chuah;Kevin McGee
Affiliations:
National University of Singapore, Singapore, Singapore;National University of Singapore, Singapore, Singapore;National University of Singapore, Singapore, Singapore;National University of Singapore, Singapore, Singapore;National University of Singapore, Singapore, Singapore;National University of Singapore, Singapore, Singapore
Venue:
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Year:
2011

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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.