Skip to main content

The Effect of Culture and Social Orientation on Player’s Performances in Tacit Coordination Games

  • Conference paper
  • First Online:
Book cover Brain Informatics (BI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11309))

Included in the following conference series:

Abstract

Social Value Orientation (SVO) is one of the main factors affecting strategic decision making. This study explores the effects of different cultural background on players’ SVO as well as on their ability to coordinate in tacit coordination games. Tacit coordination games are coordination games in which communication between the players is not allowed or not possible. Our results showed that the two cultural backgrounds (Israelis and Chinese players) differ in the distribution of the SVO angle (a measure of the social orientation of the player), which is useful for predicting the cultural background of the player. Next, we explored the effects of the SVO value on players’ strategies in tacit coordination games and demonstrated that players with different cultural backgrounds are endowed with different coordination abilities (as measured by a coordination index).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Balliet, D., Parks, C., Joireman, J.: Social value orientation and cooperation in social dilemmas: a meta-analysis. Group Process. Intergroup Relat. 12(4), 533–547 (2009)

    Article  Google Scholar 

  2. Bogaert, S., Boone, C., Declerck, C.: Social value orientation and cooperation in social dilemmas: a review and conceptual model. Br. J. Soc. Psychol. 47(3), 453–480 (2008)

    Article  Google Scholar 

  3. Liebrand, W., McClintock, C.: The ring measure of social values: a computerized procedure for assessing individual differences in information processing and social value orientation. Eur. J. Pers. 2(3), 217–230 (1988)

    Article  Google Scholar 

  4. Van Lange, P., De Bruin, E., Otten, W., Joireman, J.: Development of prosocial, individualistic, and competitive orientations: theory and preliminary evidence. J. Pers. Soc. Psychol. 73(4), 733–746 (1997)

    Article  Google Scholar 

  5. Murphy, R.O., Ackermann, K.A., Handgraaf, M.J.J.: Measuring social value orientation. Judgm. Decis. Mak. 6(8), 771–781 (2011)

    Google Scholar 

  6. Yan, S., Xu, D., Zhang, B., Zhang, H., Yang, Q., Lin, S.: Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. 29(1), 40–51 (2007)

    Article  Google Scholar 

  7. Svante, W., Esbensen, K., Geladi, P.: Principal component analysis. Chemometr. Intell. Lab. Syst. 2(1–3), 37–52 (1987)

    Google Scholar 

  8. Batista, G., Prati, R., Monard, M.: A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explor. Newsl. 6(1), 20 (2004)

    Article  Google Scholar 

  9. Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)

    MATH  Google Scholar 

  10. Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press, New York (2004)

    Book  Google Scholar 

  11. Malone, T., Crowston, K.: What is coordination theory and how can it help design cooperative work systems? In: Proceedings of the 1990 ACM Conference on Computer-supported Cooperative Work, New York (1990)

    Google Scholar 

  12. Klein, G., Woods, D., Bradshaw, J., Hoffman, R., Feltovich, P.: Ten challenges for making automation a “team player” in joint human-agent activity. IEEE Intell. Syst. 19(06), 91–95 (2004)

    Article  Google Scholar 

  13. Bradshaw, J., Dignum, V., Jonker, C., Sierhuis, M.: Human-agent-robot teamwork. IEEE Intell. Syst. 27(2), 8–13 (2012)

    Article  Google Scholar 

  14. Mehta, J., Starmer, C., Sugden, R.: The nature of salience: an experimental investigation of pure coordination games. Am. Econ. Rev. 84(3), 658–673 (1994)

    MATH  Google Scholar 

  15. Steiner, P., Schelling, T.: The strategy of conflict. Economica 28(109), 96 (1961)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Inon Zuckerman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mizrahi, D., Laufer, I., Zuckerman, I., Zhang, T. (2018). The Effect of Culture and Social Orientation on Player’s Performances in Tacit Coordination Games. In: Wang, S., et al. Brain Informatics. BI 2018. Lecture Notes in Computer Science(), vol 11309. Springer, Cham. https://doi.org/10.1007/978-3-030-05587-5_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05587-5_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05586-8

  • Online ISBN: 978-3-030-05587-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics