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Using contexts to supervise a collaborative process

Published online by Cambridge University Press:  07 October 2010

Avelino J. Gonzalez
Affiliation:
Intelligent Systems Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA
Setsuo Tsuruta
Affiliation:
School of Information Environment, Tokyo Denki University, Tokyo, Japan
Yoshitaka Sakurai
Affiliation:
School of Information Environment, Tokyo Denki University, Tokyo, Japan
Johann Nguyen
Affiliation:
Intelligent Systems Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA
Kouhei Takada
Affiliation:
School of Information Environment, Tokyo Denki University, Tokyo, Japan
Ken Uchida
Affiliation:
School of Information Environment, Tokyo Denki University, Tokyo, Japan

Abstract

This article describes an investigation into the feasibility of using contextual reasoning to monitor and supervise the collaborative work of several knowledge workers working together on a project. Managing large and complex projects is a difficult task that requires situational awareness by the project manager to be able to be proactive when possible and to react correctly in the presence of events. In complex projects, effective oversight of the project personnel and the progress of the project are essential in ensuring that project objectives are met. This is especially true of projects that require contributions from various experts, whose interaction may be limited to a Web-based collaborative tool. Such oversight is typically the job of a project manager who is tasked with avoiding cost overruns, shipment delays, and ensuring product effectiveness. We utilize context-based reasoning and contextual graphs as the tools of choice for implementing an agent that emulates the function of a competent project manager. We use rocket design and manufacture as the domain to evaluate our technique. We use a public domain rocket design software package developed by the National Aeronautics and Space Administration as a guide to the domain. The article describes the investigation, its results, and the related works in a collaborative design project.

Type
Articles
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Abernethy, K., Piegari, G., & Reichgelt, H. (2007). Teaching project management: an experiential approach. Journal of Computing Sciences in Colleges 22(3), 198205.Google Scholar
Bannerman, P.L. (2007). Software project risk in the public sector. Proc. 2007 Australian Software Engineering Conf.CrossRefGoogle Scholar
Bardram, J.E. (1996). Organisational prototyping: adopting CSCW applications in organisations. Scandinavian Journal of Information Systems 8(1), 6988.Google Scholar
Barrett, G.C., & Gonzalez, A.J. (2002). Modeling collaborative behaviors in context-based reasoning. Proc. 2002 Swedish American Workshop on Modeling and Simulation, Orlando, FL, October 29–30, 2002Google Scholar
Borges, M.R.S., Brézillon, P., Pino, J.A., & Pomerol, J.-Ch. (2004). Bringing context to CSCW. Proc. 8th Int. Conf. Computer Supported Cooperative Work in Design, pp. 161166.CrossRefGoogle Scholar
Brewer, J.L. (2005). Project managers, can we make them or just make them better? Proc. SIGITE'05, pp. 167173.CrossRefGoogle Scholar
Brézillon, P. (2002). Modeling and using context: past, present and future. Accessed at http://www.lip6.fr/reports/lip6.2002.010.pdfGoogle Scholar
Brézillon, P. (2005). Task-realization models in contextual graphs. Proc. Context 2005 Conf., pp. 5568.CrossRefGoogle Scholar
Brown, J. (1994). Application and evaluation of the context-based reasoning paradigm. Master's Thesis. University of Central Florida, Department of Electrical and Computer Engineering.Google Scholar
Clancey, W.J. (1997). Situated Cognition—On Human Knowledge and Computer Representations. New York: Cambridge University Press.Google Scholar
Dominguez, C. (1994). Can SA be defined? In Situation Awareness: Papers and Annotated Bibliography (Vidulich, M., Dominguez, C., Vogel, E. & McMillan, G., Eds.), pp. 515, Report AL/CF-TR-1994-0085. Columbus, OH: Wright–Patterson Air Force Base.Google Scholar
Endsley, M. (1988). Design and evaluation of situation awareness enhancement. Proc. Human Factors Society 32nd Annual Meeting, pp. 97101.CrossRefGoogle Scholar
Endsley, M.R. (2000). Theoretical underpinnings of situational awareness: a critical review. In Situation Awareness and Measurements (Endsley, M.R., & Garland, D.J., Eds.). New York: Erlbaum.CrossRefGoogle Scholar
Engelmore, R.S., & Morgan, A. (Eds.). (1988). Blackboard Systems. Reading, MA: Addison–Wesley.Google Scholar
Fan, X., Sun, S., & Yen, J. (2005). On shared situation awareness for supporting human decision-making teams. Proc. 2005 AAAI Spring Symp. AI Technologies and Homeland Security.Google Scholar
Feng, Y., Teng, T., & Tan, A. (2009). Modeling situational awareness for context-aware decision support. Expert Systems With Applications 36, 455463.CrossRefGoogle Scholar
Fernlund, H. (2004). Evolving models from observed human performance. Doctoral Dissertation. University of Central Florida.Google Scholar
Fox, T.L., & Spence, J.W. (2005). The effect of decision style on the use of a project management tool: an empirical laboratory study. DATA BASE for Advances in Information Systems 36(2), 2842.CrossRefGoogle Scholar
Gaba, D.M., Howard, S.K., & Small, S.D. (1995). Situation awareness in anesthesiology. Human Factors 37(1), 2032.CrossRefGoogle ScholarPubMed
Gero, J.S. (2004). Constructive memory for situated design agents. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18(2), 163198.Google Scholar
Gonzalez, A.J. (2007). Using Contexts to Control a Collaborative Process. Final Report. Tokyo Denki University. Accessed at http://isl.ucf.eduGoogle Scholar
Gonzalez, A.J., & Ahlers, R. (1998). Context-based representation of intelligent behavior in training simulations. Transactions of the Society for Computer Simulation 15(4), 153166.Google Scholar
Gonzalez, A.J., & Brézillon, P. (2008). Integrating two context-based formalisms for improved representation of human tactical behavior. Knowledge Engineering Review 23(3), 295315.CrossRefGoogle Scholar
Gonzalez, A.J., Castro, J., & Gerber, W.E. (2006). Automating the acquisition of tactical knowledge for military missions. Journal of Defense Modeling and Simulation 3(1), 145160.Google Scholar
Gonzalez, A.J., Stensrud, B.S., & Barrett, G. (2008). Formalizing context-based reasoning—a modeling paradigm for representing tactical human behavior. International Journal of Intelligent Systems 23(7), 822847.CrossRefGoogle Scholar
Gonzalez, F.G., Grejs, P., & Gonzalez, A. J. (2000). Autonomous automobile behavior through context-based reasoning. Proc. Int. FLAIRS Conf.Google Scholar
Gumus, I. (1999). A threat prioritization algorithm for multiple intelligent entities in a simulated environment. Master's Thesis. University of Central Florida.Google Scholar
Gutwin, C., & Greenberg, S. (2004). The importance of awareness for team cognition in distributed collaboration. In Team Cognition: Understanding the Factors That Drive Process and Performance (Salas, E., & Fiore, S.M., Eds.), pp. 177201. Washington DC: APA Press.CrossRefGoogle Scholar
Harwood, K., Barnett, B., & Wickens, C. (1988). Situational awareness; a conceptual and methodological framework. Proc. 11th Symp. Psychology in the DoD (McIntire, F.E., Ed.). Colorado Springs, CO: US Air Force Academy.Google Scholar
Henninger, A.E., & Gonzalez, A.J. (1997). Automated acquisition tool for tactical knowledge. Proc. 10th Annual Florida Artificial Intelligence Research Symp., pp. 307311.Google Scholar
Kokinov, B., Petkov, G. & Petrova, N. (2007). Context-sensitivity of human memory: episode connectivity and its influence on memory reconstruction. Proc. Context 2007 Conf., pp. 317329.CrossRefGoogle Scholar
Lee, C.-S., Wang, M.-H., Chen, J.-J., & Hsu, C.-Y. (2006). Ontology-based intelligent decision support agent for CMMI project monitoring and control. Proc. North American Fuzzy Information Processing Society (NAFIPS), pp. 627632.CrossRefGoogle Scholar
Lee, S., & Peña-Mora, F. (2005). System dynamics approach for error and change management in concurrent design and construction. Proc. 2005 Winter Simulation Conf.Google Scholar
Levitt, R.E., & Nissen, M.E. (2003). The Virtual Design Team (VDT): a multi-agent analysis framework for designing project organizations. Proc. 2003 KIMAS Conf., pp. 115120.CrossRefGoogle Scholar
Medina-Mora, R., Winograd, T., Flores, R., & Flores, F. (1992). The action workflow approach to workflow management technology. Proc. CSCW 1992.CrossRefGoogle Scholar
National Aeronautics and Space Administration. (2003). RocketModeler, version 1.2. Accessed at http://www.nasa.gov/Google Scholar
Nehme, C.E., Crandall, J., & Cummings, M.L. (2008). Using discrete event simulation to model situational awareness of unmanned vehicle operators. VMASC Capstone Conf.Google Scholar
Nienaber, R., & Cloete, E. (2003). A software agent framework for the support of software project management. Proc. SAICSIT 2003, pp. 1623.Google Scholar
Norlander, L. (1998). A framework for efficient implementation of context-based reasoning in intelligent simulations. Master's Thesis. University of Central Florida.Google Scholar
Proenza, R. (1997). A framework for multiple agents and memory recall within the Context-Based Reasoning Paradigm. Master's Thesis. University of Central Florida.Google Scholar
Sapateiro, C., & Antunes, P. (2009). An emergency response model towards situational awareness improvement. Proc. 6th Int. ISCRAM Conf.Google Scholar
Smith, J.L., Bohner, S.A., & McCrickard, D.S. (2005). Project management for the 21st century: supporting collaborative design through risk analysis. Proc. 43rd ACM Southeast Conf.Google Scholar
Stiffler, D. (1988). Graduate level situation awareness. USAF Fighter Weapons Review.Google Scholar
Stensrud, B.S. (2005). FAMTILE: an algorithm for learning high-level tactical behavior from observation. Doctoral Dissertation. University of Central Florida.Google Scholar
Turner, R.M. (1998). Context-mediated behavior for intelligent agents. International Journal of Human–Computer Studies 48(3), 307330.CrossRefGoogle Scholar
Wu, S., & Kotak, D. (2003). Agent-based collaborative project management system for distributed manufacturing. Proc. IEEE Int. Conf. Systems, Man and Cybernetics, Vol. 2, pp. 12231228.Google Scholar