Abstract
In this paper, we investigate how complexity theory can benefit collaboration by applying an agent-based computer simulation approach to a new form of synchronous real-time collaborative engineering design. Fieldwork was conducted with a space mission design team during their actual design sessions, to collect data on their group conversations, team interdependencies, and error monitoring and recovery practices. Based on the fieldwork analysis, an agent-based simulator was constructed. The simulation shows how error recovery and monitoring is affected by the number of small group, or sidebar, conversations, and consequent noise in the room environment. This simulation shows that it is possible to create a virtual environment with cooperating agents interacting in a dynamic environment. This simulation approach is useful for identifying the best scenarios and eliminating potential catastrophic combinations of parameters and values, where error recovery and workload in collaborative engineering design could be significantly impacted. This approach is also useful for defining strategies for integrating solutions into organizations.
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References
Axelrod, R, Cohen MD (2000) Harnessing complexity: Organizational implications of a scientific frontier. Free Press
Axelrod R (1997) The complexity of cooperation: Agent based models of competition and collaboration. Princeton, Princeton University Press, New Jersey
Ballot G, Weisbuch G (2000) Editors of applications of simulation to social sciences. In: Proceedings of the Second International Conference on Computer Simulations and the Social Sciences, Paris, September 18–20, Hermes Science Publications, Paris
Bar-Yam Y (2000) Editor-in-chief of unifying themes in complex systems. In: Proceedings from the International Conference on Complex Systems. Advanced Book Program, Perseus Books, Cambridge, Massachusetts
Cannon-Bowers JA, Salas E (2001) Reflections on shared cognition. J Organ Behav 22:195–202
Cannon-Bowers JA, Salas E, Converse S (1993) Shared mental models in expert team decision-making. In: Castellan J (ed) Individual and Group Decision-Making: Current issues: 221. LEA Publishers, pp 221–246
Carley K (2001) Intra-organizationl complexity and computation. In: Baum JC (ed) Companion to organizations, Blackwell, Oxford UK
Carley K (1997) Extracting team mental models through textual analysis. J Organ Behav 18:533–558
Carley K (1996) Validating Computational Models (working paper). Available at http://www.heinz.cmu. edu/wpapers/author.jsp?id=carley
Cherry EC (1953) Some experiments upon the recognition of speech, with one and with two ears. J Acoust Soc Amer 25:975–279
Dent EB (1999) Complexity science: A worldview shift. Emergence 1(4)
Dugdale J, Pavard B, Soubie JL (2000) A pragmatic development of a computer simulation of an emergency call centre. In: Dieng R, Giboin A, Karsenty L, De Michelis G (eds). Designing Cooperative Systems: The Use of Theories and Models. IOS Press
Goldstein J (1999) Emergence as a construct: History and Issues. Emergence 1(1)
Hollingshead AB (2000) Perceptions of expertise and transactive memory in work relationships. Group Processes & Intergroup Relations 3(3):257–267
Keyser D (2000) Emergent properties and behavior of the atmosphere. In: Bar-Yam Yaneer (ed) Proceedings from the International Conference on Complex Systems. Advanced Book Program, Perseus Books, Cambridge, MA, pp 33–41
Klimoski R, Mohammed S (1994) Team mental model: Construct or metaphor? J Manag 20(2):403–437
Kreft JU, Booth G, Wimpenny JWT (1998) BacSim, a simulator for individual-based modeling of bacterial colony growth. Biology 144
Levesque LL, Wilson JM, Wholey DR (2001) Cognitive divergence and shared mental models in software development project teams. J Organ Behav 22:135–144
Liang DW, Moreland R, Argote L (1995) Group versus individual training and group performance: The mediating role of transactive memory. Pers Soc Psychol Bull 21(4):384–393
Lissack MR (1999) Complexity: The science, its vocabulary and its relation to Organizations. Emergence 1(1)
Mark G (2002) Extreme collaboration. Commun ACM 45(6):89–93
McKelvey B (1999) Complexity theory in organization science: Seizing the promise or becoming a fad? Emergence 1(1)
Olson JS, Covi L, Rocco E, Miller, JW, Allie PA (1998) Room of your own: What would it take to help remote groups work as well as collocated groups?. In: Proceedings of CHI' 98
Pavard B, Dugdale J (2000) The contribution of complexity theory to the study of socio-technical cooperative systems. InterJournal: New England Complex Institute Electronic journal
Pavard B, Dugdale J (2001) An introduction to complexity in social science. http://www.irit. fr/COSI/ training/complexity-tutorial/complexity-tutorial.tml
Simon HA (1969) The sciences of the artificial. MIT Press, Cambridge, MA
Strader TJ, Lin FR, Shaw MJ (1998) Simulation of order fulfillment in divergent assembly supply chains. J Art Soc Social Simul 1(2)
Teasley S, Covi L, Krishnan MS, Olson JS (2000) How does radical collocation help a team succeed?. In: Proceedings of CSCW2000, ACM Press, New York
Terano T (2000) Analyzing social interaction in electronic communities using an artificial world approach. Technol Forecast Soc Change 64
Weick KE (1979) The social psychology of organizing. McGraw-Hill, New York
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Narjès Bellamine-Ben Saoud is an Associate Professor at the University of Tunis and Researcher at RIADI-GDL Laboratory, Tunisia. After Computer Science engineering diploma (1993) of the ENSEEIHT of Toulouse, France, she received her PhD (1996), on groupware design applied to the study of cooperation within a space project, from the University of Toulouse I, France. Her main research interests concern studying complex systems particularly by modeling and simulating collaborative and socio-technical systems; developing Computer Supported Collaborative Learning in tunisian primary schools; and Software Engineering. Her current reserach projects include modeling and simulation of emergency rescue activities for large-scale accidents, modeling of epidemics and study of malaria, simulation of collabration artifacts.
Gloria Mark is an Associate Professor in the Department of Informatics, University of California, Irvine. Dr. Mark received her Ph.D. in Psychology from Columbia University in 1991. Prior to UCI, she was a Research Scientist at the GMD, in Bonn, Germany, a visiting research scientist at the Boeing Company, and a research scientist at the Electronic Data Systems Center for Advanced Research. Dr. Mark’s research focuses on the design and evaluation of collaborative systems. Her current projects include studying worklife in the network-centric organization, multi-tasking of information workers, nomad workers, and a work in a large-scale medical collaboratory. Dr. Mark is widely published in the fields of CSCW and HCI, is currently the program co-chair for the ACM CSCW’06 conference and is on the editorial board of Computer Supported Cooperative Work: The Journal of Collaborative Computing, and e-Service Qu@rterly.
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Saoud, N.BB., Mark, G. Complexity theory and collaboration: An agent-based simulator for a space mission design team. Comput Math Organiz Theor 13, 113–146 (2007). https://doi.org/10.1007/s10588-006-9002-7
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DOI: https://doi.org/10.1007/s10588-006-9002-7