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Modeling the Culture of Online Collaborative Groups with Affect Control Theory

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Advances in Social Simulation (ESSA 2019)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

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Abstract

We review Affect Control Theory (ACT) as a promising basis for equipping computational agents in social simulations with a sense of sociality. ACT is a computational theory that integrates sociological insights about the symbolic construction of the social order with psychological knowledge about cognitive-affective mechanisms. After explaining the theoretical foundations of ACT and applications of the theory at the dyadic and group level, we describe a case study applying the theory from an ongoing research project examining self-organized online collaboration in software development.

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Notes

  1. 1.

    The object-person agent traces end at 90% in the address-the-group rate experiments because at a 100% address-the-group rate all actions are directed at the group rather than to the agents.

References

  1. W. Jager, Enhancing the realism of simulation (EROS): On implementing and developing psychological theory in social simulation. J. Artif. Soc. Soc. Simul. 20(3), 14 (2017)

    Article  Google Scholar 

  2. J. Hoey, T. Schröder, J.H. Morgan, K.B. Rogers, D. Rishi, M. Nagappan, Artificial intelligence and social simulation: studying group dynamics on a massive scale. Small Group Res. 49(6), 647–683 (2018)

    Article  Google Scholar 

  3. P. Sobkowicz, Modeling opinion formation with physics tools: call for closer link with reality. J. Artif. Soc. Soc. Simul. 12(1), 11 (2009)

    Google Scholar 

  4. G.J. Hofstede, GRASP agents: social first, intelligent later. AI & Society, 1–9 (2017)

    Google Scholar 

  5. D.R. Heise, Expressive Order, (Springer, New York, 2007)

    Google Scholar 

  6. N.J. MacKinnon, Symbolic Interactionism as Affect Control, (State University of New York Press, Albany, 1994)

    Google Scholar 

  7. G. Hofstede, G.J. Hofstede, M. Minkov, Cultures and Organizations, Software of the Mind, (McGraw Hill, New York, 2010)

    Google Scholar 

  8. H. Blumer, Symbolic Interactionism, Perspective and Method, (Prentice Hall, Eaglewood Cliffs, 1969)

    Google Scholar 

  9. G.H. Mead, Mind, Self, and Society from the Standpoint of a Social Behaviorist, (University of Chicago Press, 1934)

    Google Scholar 

  10. P.L. Berger, T. Luckmann, The Social Construction of Reality (A treatise in the sociology of knowledge. Anchor Books, Garden City, NY, 1966)

    Google Scholar 

  11. F. Heider, Attitudes and cognitive organization. J. Psychol. 21, 107–112 (1946)

    Article  Google Scholar 

  12. L. Festinger, A Theory of Cognitive Dissonance (Stanford University Press, Palo Alto, 1957)

    Google Scholar 

  13. S.J. Read, D. Simon, Parallel constraint satisfaction as a mechanism for cognitive consistency, in Cognitive consistency: A fundamental principle in social cognition. ed. by B. Gawronski, F. Strack (Guilford, New York, 2012), pp. 66–88

    Google Scholar 

  14. P. Thagard, Hot Thought: Mechanisms and Applications of Emotional Cognition (MIT Press, Cambridge, MA, 2006)

    Book  Google Scholar 

  15. S. Duncan, L.F. Barrett, Affect is a form of cognition: a neurobiological analysis. Cogn. Emot. 21(6), 1184–1211 (2007)

    Article  Google Scholar 

  16. C.E. Osgood, G.J. Suci, P.H. Tannenbaum, The Measurement of Meaning (University of Illinois Press, Urbana, 1957)

    Google Scholar 

  17. W. Scholl, The socio-emotional basis of human interaction and communication: how we construct our social world. Soc. Sci, Inf. 52(1), 3–33 (2013)

    Article  Google Scholar 

  18. I. Kajiç, T. Schröder, T.C. Stewart, P. Thagard, The semantic pointer theory of emotion: integrating physiology, appraisal, and construction. Cognitive Syst. Res. (in press)

    Google Scholar 

  19. A. Kroska, Investigating gender differences in the meaning of household chores and childcare. J. Marriage Fam. 65(2), 456–473 (2003)

    Article  Google Scholar 

  20. L.E. Francis, Ideology and interpersonal emotion management: redefining identity in two support groups. Soc. Psychol. Q. 60(2), 153–171 (1997)

    Article  Google Scholar 

  21. L. Britt, D.R. Heise, From shame to pride in identity politics, in Self, identity, and social movements. ed. by S. Stryker, T.J. Owens, R.W. White (University of Minnesota Press, Minneapolis, 2000), pp. 252–268

    Google Scholar 

  22. R.E. Freeland, J. Hoey, The structure of deference: modeling occupational status using affect control theory. Am. Sociol. Rev. 83(2), 243–277 (2018)

    Article  Google Scholar 

  23. T. Schröder, W. Scholl, Affective dynamics of leadership: an experimental test of affect control theory. Soc. Psychol. Quarterly 72(2), 180–197 (2009)

    Article  Google Scholar 

  24. D.T. Robinson, L. Smith-Lovin, Selective interaction as a strategy for identity maintenance: an affect control model. Soc. Psychol. Q. 55(1), 12–28 (1992)

    Article  Google Scholar 

  25. D.R. Heise, S.J. Lerner, Affect control in international interactions. Soc. Forces 85(2), 993–1010 (2006)

    Article  Google Scholar 

  26. D.R. Heise, INTERACT computer model of social interaction, Java archive, https://www.indiana.edu/~socpsy/ACT/interact.htm, last accessed 2019/04/30.

  27. T. Schröder, J. Hoey, K.B. Rogers, Modeling dynamic identities and uncertainty in social interaction: bayesian affect control theory. Am. Sociol. Rev. 81(4), 828–855

    Google Scholar 

  28. D.R. Heise, Modeling interactions in small groups. Soc. Psychol. Q. 76(1), 52–72 (2013)

    Article  Google Scholar 

  29. D.R. Heise, Group simulator, model code and documentation/user manual, https://www.indiana.edu/~socpsy/ACT/SmallGroups/GroupSimulator.html, last accessed 2019/04/30.

  30. R.F. Bales, Social interaction systems: theory and measurement. Transaction (1999)

    Google Scholar 

  31. F.L. Strodtbeck, R.M. James, C. Hawkins, Social status in jury deliberations. Am. Sociol. Rev. 22(6), 713–719 (1957)

    Article  Google Scholar 

  32. G. Moody, Rebel Code: Linux and the Open Source Revolution (Perseus, New York, 2001)

    Google Scholar 

  33. K. Healy, A. Schussman, The Ecology of Open-source Software Development. (Technical report, University of Arizona, USA, 2003)

    Google Scholar 

  34. S.L. Daniel, L.M. Maruping, M. Cataldo, J. Herbsleb, The impact of ideology misfit on open source software communities and companies. MIS Quarterly 42(4), 1069–1096 (2018)

    Google Scholar 

  35. R.K. Merton, The role-set: problems in sociological theory. Br. J. Sociol. 8(2), 106–120 (1957)

    Article  Google Scholar 

  36. D. Gibson, R: Marking the turn: obligation, engagement, and alienation in group discussions. Soc. Psychol. Q. 73(2), 132–151 (2010)

    Article  Google Scholar 

  37. F.L. Strodtbeck, A.P. Hare, Bibliography of small group research (from 1900 through 1953). Sociometry 17(2), 107–178 (1954)

    Google Scholar 

  38. J.H. Morgan, K.B. Rogers, M. Hu, Distinguishing normative processes from noise: a comparison of four approaches to modeling impressions of social events. Soc. Psychol. Q. 79(4), 311–332 (2016)

    Article  Google Scholar 

  39. J. Skvoretz, Models of participation in status-differentiated groups. Soc. Psychol. Q. 51(1), 43–57 (1988)

    Article  Google Scholar 

  40. C.L. Ridgeway, J.W. Balkwell, Group processes and the diffusion of status beliefs. Soc. Psychol. Q. 60(1), 14–31 (1997)

    Article  Google Scholar 

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Acknowledgements

This work was supported by Natural Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council of Canada (SSHRC), Deutsche Forschungsgemeinschaft (DFG; Grant No. SCHR1282/3-1) and the National Science Foundation (NSF; United States, Grant No. 1723608).

Author information

Authors and Affiliations

  1. Potsdam University of Applied Sciences, Potsdam, Germany

    Jonathan H. Morgan, Nikolas Zöller & Tobias Schröder

  2. Department of Sociology, Dartmouth College, Hanover, NH, 03755, USA

    Jun Zhao, Andrea Sedlacek, Lena Chen, Hayley Piper, Yliana Beck & Kimberly B. Rogers

  3. University of Waterloo, University Avenue West, Waterloo, ON, Canada

    Jesse Hoey

Authors
  1. Jonathan H. Morgan
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  2. Jun Zhao
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  3. Nikolas Zöller
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  9. Jesse Hoey
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  10. Tobias Schröder
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Correspondence to Jonathan H. Morgan .

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Editors and Affiliations

  1. Johannes Gutenberg University of Mainz, Mainz, Rheinland-Pfalz, Germany

    Petra Ahrweiler

  2. Johannes Gutenberg University of Mainz, Mainz, Rheinland-Pfalz, Germany

    Martin Neumann

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Morgan, J.H. et al. (2021). Modeling the Culture of Online Collaborative Groups with Affect Control Theory. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_14

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