Did You Notice? Artificial Team-Mates Take Risks for Players

  • Tim Merritt
  • Christopher Ong
  • Teong Leong Chuah
  • Kevin McGee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6895)

Abstract

Artificial agents are increasingly included in digital games, often taking on a role as a team-mate with human players. An interesting area of focus is the differences in player responses to team-mates that are either controlled by another human or a computer. Although there has been research examining social dynamics of team-mates and even some recent research comparing the responses to computer and human team-mates examining blame, credit, enjoyment, and differences in physiological responses of arousal, there does not seem to have been any research looking specifically at the differences in responses to acts of risk-taking on behalf of a team-mate. In order to study this question, a quantitative study was conducted in which 40 participants played a real-time, goal-oriented, cooperative game. The game allows (but does not require) players to perform risky actions that benefit their team-mates – specifically, player’s can “draw gunfire” towards themselves (and away from their team-mates). During the study, all participants played the game twice: once with an AI team-mate and once with a “presumed” human team-mate (i.e., an AI team-mate that they believed was a human team-mate). Thus, the team-mate performance and behaviors were identical for both cases – and in both cases, the team-mate “drew gunfire” an equal amount of the time. The main finding reported here is that players are more likely to notice acts of risk-taking by a human team-mate than by an artificial team-mate.

Keywords

media equation CASA team-mate CSCP 

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References

  1. 1.
    Van Diggelen, J., Muller, T., Van Den Bosch, K.: Using artificial team members for team training in virtual environments. In: Proceedings of the 10th International Conference on Intelligent Virtual Agents, IVA 2010, pp. 28–34. Springer, Heidelberg (2010)Google Scholar
  2. 2.
    Doherty, S.M.: Human-centered design in synthetic teammates for aviation: The challenge for artificial intelligence. In: Russell, I., Haller, S.M. (eds.) Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, St. Augustine, Florida, USA, May 12-14, pp. 54–56. AAAI Press, Menlo Park (2003)Google Scholar
  3. 3.
    Babu, S., Grechkin, T., Chihak, B., Ziemer, C., Kearney, J., Cremer, J., Plumert, J.: A virtual peer for investigating social influences on children’s bicycling. In: Virtual Reality Conference, VR 2009, pp. 91–98 (March 2009)Google Scholar
  4. 4.
    Sherry, J.L., Lucas, K., Greenberg, B.S., Lachlan, K.: Video game uses and gratifications as predictors of use and game preferences. In: Vorderer, P., Bryant, J. (eds.) Playing Video Games Motives Responses and Consequences, pp. 213–224. Lawrence Erlbaum Associates, Mahwah (2006)Google Scholar
  5. 5.
    Bostan, B.: Player motivations: A psychological perspective. Comput. Entertain. 7 (June 2009)Google Scholar
  6. 6.
    Reeves, B., Nass, C.: The media equation: how people treat computers, television, and new media like real people and places. Cambridge University Press, Cambridge (1996)Google Scholar
  7. 7.
    Mandryk, R.L., Inkpen, K.M., Calvert, T.W.: Using psychophysiological techniques to measure user experience with entertainment technologies. Behaviour & Information Technology 25(2), 141–158 (2006)CrossRefGoogle Scholar
  8. 8.
    Gallagher, H.L., Jack, A.I., Roepstorff, A., Frith, C.D.: Imaging the intentional stance in a competitive game. NeuroImage 16(3), 814–821 (2002)CrossRefGoogle Scholar
  9. 9.
    Sanfey, A.G., Rilling, J.K., Aronson, J.A., Nystrom, L.E., Cohen, J.D.: The neural basis of economic Decision-Making in the ultimatum game. Science 300(5626), 1755–1758 (2003)CrossRefGoogle Scholar
  10. 10.
    Montague, P.R., Chiu, P.H.: For goodness’ sake. Nature Neuroscience 10(2), 137–138 (2007)CrossRefGoogle Scholar
  11. 11.
    Lim, S., Reeves, B.: Computer agents versus avatars: Responses to interactive game characters controlled by a computer or other player. International Journal of Human-Computer Studies 68(1-2), 57–68 (2010)CrossRefGoogle Scholar
  12. 12.
    Merritt, T.R., Tan, K.B., Ong, C., Thomas, A., Chuah, T.L., McGee, K.: Are artificial team-mates scapegoats in computer games. In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011, pp. 685–688. ACM Press, New York (2011)CrossRefGoogle Scholar
  13. 13.
    Merritt, T.R., McGee, K., Chuah, T.L., Ong, C.: Choosing human team-mates: perceived identity as a moderator of player preference and enjoyment. In: The Proceedings of the 2011 Foundations of Digital Games Conference, pp. 196–203 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tim Merritt
    • 1
  • Christopher Ong
    • 2
  • Teong Leong Chuah
    • 2
  • Kevin McGee
    • 1
  1. 1.NUS Graduate School for Integrative Sciences and EngineeringSingapore
  2. 2.National University of SingaporeSingapore

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