ISyE859 – Graduate Seminar – Special Topics in Human Factors Engineering Topic: Cognitive Engineering Methods and Models Tuesday – 2:15-5:15pm 3127 ME Building Instructor: John D. Lee, Ph.D. Department of Industrial and Systems Engineering email: jdlee@engr.wisc.edu The objective of this graduate seminar is to review methods and models for the analysis, design, and evaluation of human-technology systems in which people operate on work domains through a technological intermediary. Examples include vehicle automation, remotely piloted vehicles, virtual intensive care units, and telehealth. Topics will include: statistical and analytical modeling approaches, ethnographic and experimental methods, and theoretical frameworks to guide analysis, design, and evaluation of systems involving humans and automation. The seminar will be organized around a set of readings that will be presented by groups of students and discussed in class. Objectives By the end of this course you will: Think differently about socio-technical systems See different perspectives of human-technology interaction Compare contrasting viewpoints to find value in each Use matlab to view complex data The class will be discussion-oriented and will work to apply information from the papers to target domains to solve societies significant problems: Distance learning and the role of social networks Driving safety, particularly distraction Managing semi-autonomous systems at a distance Healthcare—costs, patient benefit, and caregiver satisfaction Grading will be based on class participation and a final paper. Students interested in taking the seminar for 1 credit will be graded only on class participation. Summary presentations Overview of each paper—their contributions, perspective, and limitations Comparison of the two papers—their conflicts and complementarity Application examples to analysis, design, and evaluation of a target domain Identify two or three papers I should have assigned Papers Proposal consisting of a 2 page annotated outline due 11/20/09. Final paper due 12/17/09. Papers should be in APA format with and a maximum of 10 pages of single-spaced 12 point. 1 1 2 Date 9/8 9/15 3 9/22 4 9/29 5 10/6 6 10/13 7 10/20 8 10/27 9 11/3 10 11/10 11 11/17 12 11/24 13 12/1 14 12/8 15 12/15 Topic Introductions, course overview, assignments Definitions of Cognitive Engineering (Norman, 1986; Woods & Roth, 1988) Accident Investigation and Learning from Failures (Dekker, 2002; Wiegmann & Shappell, 2001) Analysis of Cognitive Tasks and Work (Kilgore, St-Cyr, & Jamieson, 2009; Militello & Hutton, 1998) Embodied Cognition and Cognitive Artifacts (Clark, 1999; Nemeth, O’Connor, Klock, & Cook, 2005) Simulation and Microworlds (Agutter, et al., 2003; Brehmer, 2005) Modeling Judgment and Decisions (Gigerenzer & Goldstein, 1996; Rothrock & Kirlik, 2003) Modeling Emotion and Affect (Lee, 2006) (Busemyer,2008) Modeling Cognitive Control and Adaptation (Guastello & Guastello, 1998) Data Mining, Exploratory Data Analysis, and Matlab ?? Situation Awareness (Endsley, 1995; Flach, 1995) Automation Architectures (Degani, Shafto, & Kirlik, 1997; Parasuraman & Miller, 2004) Ecological Interface Design (Guerlain, Jamieson, Bullemer, & Blair, 2002; Vicente & Rasmussen, 1992) Sonification and Multimodal Interface (Ferris & Sarter, 2008; Watson & Sanderson, 2007) Presentations 2 Readings Agutter, J., Drews, F., Syroid, N., Westneskow, D., Albert, R., Strayer, D., et al. (2003). Evaluation of graphic cardiovascular display in a high-fidelity simulator. Anesthesia & Analgesia, 97(5), 1403-1413. Brehmer, B. (2005). Micro-worlds and the circular relation between people and their environment. Theoretical Issues in Ergonomics Science, 6(1), 73-93. Clark, A. (1999). An embodied cognitive science? Trends in Cognitive Sciences, 3(9), 345-351. Degani, A., Shafto, M., & Kirlik, A. (1997). Modes in human-machine systems: Review, classification, and application. (submitted for publication). Dekker, S. (2002). Reconstructing human contributions to accidents: the new view on error and performance. Journal of Safety Research, 33(3), 371-385. Endsley, M. R. (1995). Towards a theory of situation awareness in dynamic systems. Human Factors, 37(1), 32-64. Ferris, T. K., & Sarter, N. B. (2008). Cross-modal links among vision, audition, and touch in complex environments. Human Factors, 50(1), 17-26. Flach, J. M. (1995). Situation Awareness - Proceed with Caution. Human Factors, 37(1), 149-157. Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4), 650-669. Guastello, S., & Guastello, D. (1998). Origins of coordination and team effectiveness: A perspective from game theory and nonlinear dynamics. Journal of Applied Psychology, 83 (3), 423-437. Guerlain, S. A., Jamieson, G. A., Bullemer, P., & Blair, R. (2002). The MPC elucidator: A case study in the design for human- automation interaction. IEEE Transactions On Systems Man and Cybernetics Part a-Systems and Humans, 32(1), 25-40. Kilgore, R. M., St-Cyr, O., & Jamieson, G. A. (2009). From work domains to worker competencies: A five-phase CWA. In A. M. Bisantz & C. M. Burns (Eds.), Applications of Cognitive Work Analysis. Boca Raton, FL: CRC Press. Lee, J. D. (2006). Affect, attention, and automation. In A. Kramer, D. Wiegmann & A. Kirlik (Eds.), Attention: From Theory to Practice. New York: Oxford University Press. Militello, L. G., & Hutton, R. J. B. (1998). Applied cognitive task analysis (ACTA): A practioner's toolkit for understanding cognitve task demands. Ergonomics, 41(11), 1618-1641. Nemeth, C., O’Connor, M., Klock, P., & Cook, R. (2005). Cognitive artifacts’ implications for health care information technology: Revealing how practitioners create and share their understanding of daily work. Advances in Patient Safety: From Research to Implementation, 2, 279-292. Norman, D. A. (1986). Cognitive engineering. In D. A. Norman & S. W. Draper (Eds.), User centered system design (pp. 31-61). Hillsdale, NJ: Lawrence Erlbaum Associates. Parasuraman, R., & Miller, C. A. (2004). Trust and etiquette in high-criticality automated systems. Communications of the ACM, 47(4), 51-55. Rothrock, L., & Kirlik, A. (2003). Inferring rule-based strategies in dynamic judgment tasks: toward a noncompensatory formulation of the lens model. IEEE Transactions on Systems, Man and Cybernetics, Part A, 33 (1), 58-72. Vicente, K. J., & Rasmussen, J. (1992). Ecological interface design: Theoretical foundations. IEEE Transactions on Systems, Man, and Cybernetics, SCM-22(4), 589-606. Watson, M. O., & Sanderson, P. M. (2007). Designing for attention with sound: Challenges and extensions to ecological interface design. Human Factors, 49(2), 331-346. Wiegmann, D., & Shappell, S. (2001). Human error analysis of commercial aviation accidents: Application of the Human Factors Analysis and Classification System (HFACS). Aviation, Space, and Environmental Medicine, 72(11), 1006-1016. Woods, D. D., & Roth, E. M. (1988). Cognitive engineering: Human problem solving with tools. Human Factors, 30(4), 415-430. 3