Teams are increasingly asked to solve complex and novel problems. From a broad range of domains such as the military, healthcare, and industry, difficult problems requiring the adaptation of a diverse set of expertise to one-of-a-kind situations are becoming more commonplace. These types of performance contexts require collaborative problem solving; however, the bulk of research on teamwork has dealt with behavioral coordination in routine tasks. This leaves a gap in the theory available for guiding design and training interventions to support collaborative problem solving, or knowledge-work, in teams. This paper addresses this gap by 1) providing a review of relevant theoretical issues, specifically the team cognition and externalized cognition literature, 2) advancing a theoretical framework and propositions rooted in this literature that relate the role of group process and external representations of problem spaces on problem solving outcomes, and 3) discussing future directions for testing, applying, and refining this model.
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References
1.
BowersC. A.JentschF.SalasE.BraunC. C. (1998). Analyzing communication sequences for team training needs assessment. Human Factors, 40(4), 672–679.
2.
ChengP. C.-H.BaroneR. (2008). Representing Complex Problems: A Representational Epistemic Approach. In JonassenD. H., Learning to Solve Complex Scientific Problems (pp. 97–130). New York: Erlbaum.
3.
ClanceyW. J. (1997). Situated Cognition: On Human Knowledge and Computer Representations. New York: Cambridge University Press.
4.
ClarkA. (2006). Language, embodiment, and the cognitive niche. TRENDS in Cognitive Sciences, 10(8), 370–374.
5.
ClarkA. (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. New York: Oxford University Press.
6.
FioreS. M.SchoolerJ. W. (2004). Process mapping and shared cognition: Teamwork and the development of shared problem models. In SalasE.FioreS. M., Team cognition: Understanding the factors that drive process and performance (pp. 133–152). Washington, D.C.: American Psychological Association.
7.
FioreS. M.Smith-JentschK. A.SalasE.WarnerN.LetskyM. (in press) Macrocognition in Teams: Developing and Defining Complex Collaborative Processes and Products. Theoretical Issues in Ergonomic Science.
8.
HinszV. B.TindaleR. S.VollrathD. A. (1997). The Emerging conceptualization of Groups as Information Processors. Psych Bull, 121(1), 43–64.
9.
HutchinsE. (1995). How a cockpit remembers its speeds. Cognitive Science, 19, 265–288.
10.
IlgenD. R.HollenbeckJ. R.JohnsonM.JundtD. (2005). Teams in organizations: From input-process-output models to IMOI models. Annual Review of Psychology, 56, 517–543.
KrippendorffK. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage.
15.
MacMillanJ.EntinE. E.SerfatyD. (2004). Communication overhead: The hidden cost of team cognition. In SalasE.FioreS. M., Team cognition: Understanding the factors that drive process and performance (pp. 61–82). Washington, DC: American Psychological Association.
16.
OrasanuJ.SalasE. (1993). Team decision making in complex environments. In KleinG.OrasanuJ.CalderwoodR.ZsambokC. E., Decision making in action: Models and methods (pp. 327–345). Norwood, NJ: Ablex.
17.
OrlitzkyM.HirokawaR. Y. (2001). To err is human, to correct for it divine: A meta-analysis of research testing the functional theory of group decision-making effectiveness. Small Group Research, 32(3), 313–341.
18.
RasmussenJ. (1983). Skills, Rules, and Knowledge; Signals, Signs, and Symbols, and other Distinctions in Human Performance Models. IEEE Trans. Syst., Man, Cybern., 13(3), 257–266.
19.
RosenM. A.SalasE.FioreS. M.LetskyM.WarnerN. (2008). Tightly Coupling Cognition: Understanding how Communication and Awareness Drive Coordination in Teams. International Journal of Command and Control (online), 2(1).
20.
SalasE.CookeN. J.RosenM. A. (2008). On teams, teamwork and team performance: Discoveries and developments. Human Factors, 50(3), 540–547.
21.
SalasE.FioreS. M. (2004). Team cognition: Understanding the factors that drive process and performance. Washington, DC: American Psychological Association.
22.
SalomonG. (1993). No distribution without individuals' cognition: A dynamic interactional view. In SalomonG., Distributed Cognitions: Psychological and Educational Considerations (pp. 111–138). New York: NY.
23.
ShirouzuH.MiyakeN.MasukawaH. (2002). Cognitively active externalization for situated reflection. Cognitive Science, 26(4), 469–501.
24.
StahlG. (2006). Group Cognition: Computer Support for Building Collaborative Knowledge. Cambridge, MA: MIT Press.
25.
SuthersD.MedinaR. (2008). Tracing interaction in distributed collaborative learning. Paper presented at the Annual Meeting of the American Educational Research Association, New York.
26.
VokeyJ. R. (2003). Multiway Frequency Analysis for Experimental Psychologists. Canadian Journal of Experimental Psychology, 57(3), 257–264.
