Please use this identifier to cite or link to this item: https://doi.org/10.1145/2414536.2414604
Title: Closing the human-AI team-mate gap: How changes to displayed information impact player behavior towards computer teammates
Authors: Ong, C. 
McGee, K.
Chuah, T.L.
Keywords: artificial teammates
representation
teammate games
Issue Date: 2012
Source: Ong, C.,McGee, K.,Chuah, T.L. (2012). Closing the human-AI team-mate gap: How changes to displayed information impact player behavior towards computer teammates. Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI 2012 : 433-439. ScholarBank@NUS Repository. https://doi.org/10.1145/2414536.2414604
Abstract: Research has shown that people respond differently to human and artificial agents, so can these differences be reduced by representational changes? Although research has examined how the use of different representations in computer-mediated environments can either change participants' behavior towards or perceptions of others, there does not seem to be work to see whether behavior towards (or the first-person experience of) an artificial team-mate game can be influenced by differences in the information presented to players. In a 2x2 experiment, 73 participants played two variations of a cooperative game that involved the possibility of team-mate sacrifice - with either a computer team-mate or human team-mate. In one variation, different scoring information was visible to players, in the other there was no such information. Participant performance/behavior was logged - and participants were asked to report on the emotional difficulty of the sacrifice situations. Results show that there were differences in how often participants protected their AI team-mates under the different conditions. However, the different conditions did not seem to impact the amount of emotional difficulty players felt in deciding whether to sacrfice their artificial team-mate, suggesting that while behavior was moderated, first-person experience was not. © 2012 ACM.
Source Title: Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/124287
ISBN: 9781450314381
DOI: 10.1145/2414536.2414604
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