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Overloaded and Biased? Using Augmented Cognition to Understand the Interaction Between Information Overload and Cognitive Biases

  • Randall K. Minas
  • Martha E. Crosby
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9743)

Abstract

Virtual teams are increasingly utilized in organizations, yet they often make poor decisions. Previous research has established that a primary cause of poor virtual team decision making is due to confirmation bias: team members focusing their cognitive resources on factual and normative information that supports pre-discussion preferences, rather than deeply considering information that challenges them. Building on this, the current study examines whether confirmation bias exists at varying levels of information load, establishing if confirmation bias is mediated by information overload. This study will utilize electroencephalography (EEG) and psychophysiology to examine changes in an individual’s processing of information at three levels of information load. The individual will participate in a simulated team discussion on a decision-making task. These findings will elucidate whether virtual team members use confirmation bias as a heuristic problem solving approach in response to information overload or if confirmation bias is present in all virtual team interactions.

Keywords

Cognitive load and performance Confirmation bias Electroencephalography Augmented cognition Decision making Virtual teams 

References

  1. 1.
    Zuboff, S.: In the Age of the Smart Machine: The Future of Work and Power. Basic Books Inc., New York (1984)Google Scholar
  2. 2.
    Chudoba, K.M., Wynn, E., Lu, M., Watson-Manheim, M.B.: How virtual are we? Measuring virtuality and understanding its impact in a global organization. Inf. Syst. J. 15, 279–306 (2005)CrossRefGoogle Scholar
  3. 3.
    O’Leary, M.B., Cummings, J.N.: The spatial, temporal, and configurational characteristics of geographic dispersion in teams. MIS Q. 31, 433–452 (2007)Google Scholar
  4. 4.
    Bell, B.S., Kozlowski, S.W.J.: A typology of virtual teams. Group Organ. Manag. 27, 14–49 (2002)CrossRefGoogle Scholar
  5. 5.
    Duarte, D.L., Tennant-Snyder, N.: Mastering Virtual Teams: Strategies, Tools, and Techniques that Succeed. Jossey-Bass, San Francisco (1999)Google Scholar
  6. 6.
    Lipnack, J., Stamps, J.: Virtual Teams: Working Across Space, Time and Organizations. Wiley, New York (1997)Google Scholar
  7. 7.
    Townsend, A.M., DeMarie, S.M., Hendrickson, A.R.: Virtual teams: technology and the workplace of the future. Acad. Manag. Exec. (1993–2005) 12, 17–29 (1998)Google Scholar
  8. 8.
    Daft, R.L., Lengel, R.H.: Organizational information requirements, media richness and structural design. Manag. Sci. 32, 554–571 (1986)CrossRefGoogle Scholar
  9. 9.
    Dennis, A.R., Fuller, R.M., Valacich, J.S.: Media, tasks, and communication processes: a theory of media synchronicity. MIS Q. 32, 575–600 (2008)Google Scholar
  10. 10.
    Nunamaker, J.F., Dennis, A.R., Valacich, J.S., Vogel, D., George, J.F.: Electronic meeting systems. Commun. ACM 34, 40–61 (1991)CrossRefGoogle Scholar
  11. 11.
    Dennis, A.R.: Information exchange and use in group decision making: you can lead a group to information, but you can’t make it think. MIS Q. 20, 433–457 (1996)CrossRefGoogle Scholar
  12. 12.
    Heninger, W.G., Dennis, A.R., Hilmer, K.M.: Research note: individual cognition and dual-task interference in group support systems. Inf. Syst. Res. 17, 415–424 (2006)CrossRefGoogle Scholar
  13. 13.
    Minas, R.K., Potter, R.F., Dennis, A.R., Bartelt, V., Bae, S.: Putting on the thinking cap: using NeuroIS to understand information processing biases in virtual teams. J. Manag. Inf. Syst. 30, 49–82 (2014)CrossRefGoogle Scholar
  14. 14.
    Zeleny, M.: Multiple Criteria Decision Making. McGraw-Hill, New York (1982)MATHGoogle Scholar
  15. 15.
    Dean Jr., J.W., Sharfman, M.P.: Does decision process matter? A study of strategic decision-making effectiveness. Acad. Manag. J. 39, 368–396 (1996)CrossRefGoogle Scholar
  16. 16.
    Guzzo, R.A.: Group decision making and group effectiveness in organizations. In: P.S.G. Associates (ed.) Designing Effective Work Groups, pp. 34–71. Jossey-Bass, San Francisco (1986)Google Scholar
  17. 17.
    Hackman, J.R.: Groups That Work (and Those That Don’t). Jossey-Bass, San Francisco (1991)Google Scholar
  18. 18.
    Bazerman, M.H.: Judgement in Managerial Decision Making. Wiley, New York (1990)Google Scholar
  19. 19.
    Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185, 1124–1131 (1974)CrossRefGoogle Scholar
  20. 20.
    Staw, B.M.: The escalation of commitment to a course of action. Acad. Manag. Rev. 6, 577–587 (1981)Google Scholar
  21. 21.
    Hackman, J.R., Kaplan, R.E.: Interventions into group process: an approach to improving the effectiveness of groups. Decis. Sci. 5, 459–480 (1974)CrossRefGoogle Scholar
  22. 22.
    Kerr, N.L., Tindale, R.S.: Group performance and decision making. Annu. Rev. Psychol. 55, 623–655 (2004)CrossRefGoogle Scholar
  23. 23.
    Stasser, G., Stewart, D.: Discovery of hidden profiles by decision-making groups: solving a problem versus making a judgment. J. Pers. Soc. Psychol. 63, 426–434 (1992)CrossRefGoogle Scholar
  24. 24.
    Petty, R.E., Cacioppo, J.T., Schumann, D.: Central and peripheral routes to advertising effectiveness: the moderating role of involvement. J. Consum. Res. 10, 135–146 (1983)CrossRefGoogle Scholar
  25. 25.
    Kaplan, M.F., Miller, C.E.: Group decision making and normative versus informational influence: effects of type of issue and assigned decision rule. J. Pers. Soc. Psychol. 53, 306–313 (1987)CrossRefGoogle Scholar
  26. 26.
    Shoemaker, P.J.: Media Gatekeeping, 2nd edn. Longman, New York (1996)Google Scholar
  27. 27.
    Zajonc, R.B.: On the primacy of affect. Am. Psychol. 39, 117–123 (1984)CrossRefGoogle Scholar
  28. 28.
    Vinokur, A., Trope, Y., Burnstein, E.: A decision-making analysis of persuasive argumentation and the choice-shift effect. J. Exp. Soc. Psychol. 11, 127–148 (1975)CrossRefGoogle Scholar
  29. 29.
    Myers, D.G., Lamm, H.: The group polarization phenomenon. Psychol. Bull. 83, 602–627 (1976)CrossRefGoogle Scholar
  30. 30.
    Klayman, J.: Varieties of confirmation bias. In: Jerome Busemeyer, R.H., Douglas, L.M. (eds.) Psychology of Learning and Motivation, vol. 32, pp. 385–418. Academic Press, New York (1995)Google Scholar
  31. 31.
    McKenzie, C.: Increased sensitivity to differentially diagnostic answers using familiar materials: implications for confirmation bias. Mem. Cogn. 34, 577–588 (2006)CrossRefGoogle Scholar
  32. 32.
    Ask, K., Granhag, P.A.: Motivational sources of confirmation bias in criminal investigations: the need for cognitive closure. J. Invest. Psychol. Offender Profiling 2, 43–63 (2005)CrossRefGoogle Scholar
  33. 33.
    Koriat, A., Lichtenstein, S., Fischhoff, B.: Reasons for confidence. J. Exp. Psychol. Hum. Learn. Mem. 6, 107–118 (1980)CrossRefGoogle Scholar
  34. 34.
    Schulz-Hardt, S., Frey, D., Lüthgens, C., Moscovici, S.: Biased information search in group decision making. J. Pers. Soc. Psychol. 78, 655–669 (2000)CrossRefGoogle Scholar
  35. 35.
    Sloane, P.J., Williams, H.: Are “overpaid” workers really unhappy? A test of the theory of cognitive dissonance. Labour 10, 3–16 (1996)CrossRefGoogle Scholar
  36. 36.
    Jonas, E., Schulz-Hardt, S., Frey, D., Thelen, N.: Confirmation bias in sequential information search after preliminary decisions: an expansion of dissonance theoretical research on selective exposure to information. J. Pers. Soc. Psychol. 80, 557–571 (2001)CrossRefGoogle Scholar
  37. 37.
    Stasser, G., Titus, W.: Pooling of unshared information in group decision making: biased information sampling during discussion. J. Pers. Soc. Psychol. 48, 1467–1478 (1985)CrossRefGoogle Scholar
  38. 38.
    Stasser, G., Vaughan, S.I., Stewart, D.D.: Pooling unshared information: the benefits of knowing how access to information is distributed among group members. Organ. Behav. Hum. Decis. Process. 82, 102–116 (2000)CrossRefGoogle Scholar
  39. 39.
    Stewart, D.D., Stasser, G.: Expert role assignment and information sampling during collective recall and decision making. J. Pers. Soc. Psychol. 69, 619–628 (1995)CrossRefGoogle Scholar
  40. 40.
    Meadow, C.T., Yuan, W.: Measuring the impact of information: defining the concepts. Inf. Process. Manag. 33, 697–714 (1997)CrossRefGoogle Scholar
  41. 41.
    Arnott, D.: Cognitive biases and decision support systems development: a design science approach. Inf. Syst. J. 16, 55–78 (2006)CrossRefGoogle Scholar
  42. 42.
    Frey, D., Schulz-Hardt, S., Stahlberg, D.: Information seeking among individuals and groups and possible consequences for decision-making in business and politics. Underst. Group Behav. 2, 211–225 (2013)Google Scholar
  43. 43.
    Garfield, M.J., Taylor, N.J., Dennis, A.R., Satzinger, J.W.: Research report: modifying paradigms - individual differences, creativity techniques, and exposure to ideas in group idea generation. Inf. Syst. Res. 12, 322–333 (2001)CrossRefGoogle Scholar
  44. 44.
    Hilmer, K.M., Dennis, A.R.: Stimulating thinking: cultivating better decisions with groupware through categorization. J. Manag. Inf. Syst. 17, 93–114 (2000)Google Scholar
  45. 45.
    Robert, L.P., Dennis, A.R.: Paradox of richness: a cognitive model of media choice. IEEE Trans. Prof. Commun. 48, 10–21 (2005)CrossRefGoogle Scholar
  46. 46.
    Herwig, U., Satrapi, P., Schönfeldt-Lecuona, C.: Using the international 10–20 EEG system for positioning of transcranial magnetic stimulation. Brain Topogr. 16, 95–99 (2003)CrossRefGoogle Scholar
  47. 47.
    Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134, 9–21 (2004)CrossRefGoogle Scholar
  48. 48.
    Onton, J., Makeig, S.: Information-based modeling of event-related brain dynamics. In: Christa, N., Wolfgang, K. (eds.) Progress in Brain Research, vol. 159, pp. 99–120. Elsevier, Amsterdam (2006)Google Scholar
  49. 49.
    Delorme, A., Makeig, S.: EEGLAB Wikitutorial, May 2012. http://sccn.ucsd.edu/wiki/PDF:EEGLAB_Wiki_Tutorial

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Shidler College of BusinessUniversity of Hawaii at ManoaHonoluluUSA
  2. 2.Department of Information and Computer SciencesUniversity of Hawaii at ManoaHonoluluUSA

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