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11 - Task Analysis

from PART III - METHODS FOR STUDYING THE STRUCTURE OF EXPERTISE

Jan Maarten Schraagen
Affiliation:
TNO Defence, Security, and Safety
K. Anders Ericsson
Affiliation:
Florida State University
Neil Charness
Affiliation:
Florida State University
Paul J. Feltovich
Affiliation:
University of West Florida
Robert R. Hoffman
Affiliation:
University of West Florida
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Summary

Introduction

Analyses of tasks may be undertaken for a wide variety of purposes, including the design of computer systems to support human work, the development of training, the allocation of tasks to humans or machines, or the development of tests to certify job competence. Task analysis is, therefore, primarily an applied activity within such diverse fields as human factors, human–computer interaction, instructional design, team design, and cognitive systems engineering. Among its many applications is the study of the work of expert domain practitioners.

“Task analysis” may be defined as what a person is required to do, in terms of actions and/or cognitive processes, to achieve a system goal (cf. Kirwan & Ainsworth, 1992, p. 1). A more recent definition, which at first sight has the merit of being short and crisp, is offered by Diaper (2004, p. 15): “Task analysis is the study of how work is achieved by tasks.” Both definitions are deceptively simple. They do, however, raise further issues, such as what a “system” is, or a “goal,” or “work,” or “task.” Complicating matters further, notions and assumptions have changed over time and have varied across nations. It is not my intention in this chapter to provide a complete historical overview of the various definitions that have been given for task analysis. The reader is referred to Diaper and Stanton (2004), Hollnagel (2003), Kirwan and Ainsworth (1992), Militello and Hoffman (2006), Nemeth (2004), Schraagen, Chipman, and Shalin (2000), and Shepherd (2001).

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Publisher: Cambridge University Press
Print publication year: 2006

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References

Annett, J. (2000). Theoretical and pragmatic influences on task analysis methods. In Schraagen, J. M., Chipman, S. F., & Shalin, V. L. (Eds.), Cognitive task analysis (pp. 25–37). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Annett, J. (2003). Hierarchical task analysis. In Hollnagel, E. (Ed.), Handbook of cognitive task design (pp. 17–35). Mahwah, NJ: Lawrence Erlbaum Associates.CrossRefGoogle Scholar
Annett, J. (2004). Hierarchical task analysis. In Diaper, D. & Stanton, N. (Eds.), The handbook of task analysis for human–computer interaction (pp. 67–82). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Annett, J., & Duncan, K. D. (1967). Task analysis and training design. Occupational Psychology, 41, 211–221.Google Scholar
Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human–computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Chipman, S. F., Schraagen, J. M., & Shalin, V. L. (2000). Introduction to cognitive task analysis. In Schraagen, J. M., Chipman, S. F., & Shalin, V. L. (Eds.), Cognitive task analysis (pp. 3–23). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Cooke, N. J. (1994). Varieties of knowledge elicitation techniques. International Journal of Human–Computer Studies, 41, 801–849.CrossRefGoogle Scholar
Diaper, D. (2001). Task Analysis for Knowledge Descriptions (TAKD): A requiem for a method. Behavior and Information Technology, 20, 199–212.CrossRefGoogle Scholar
Diaper, D. (2004). Understanding task analysis for human–computer interaction. In Diaper, D. & Stanton, N. (Eds.), The handbook of task analysis for human–computer interaction (pp. 5–47). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Diaper, D., & Stanton, N. (2004). Wishing on a sTAr: The future of task analysis. In Diaper, D. & Stanton, N. (Eds.), The handbook of task analysis for human–computer interaction (pp. 603–619). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Drury, C. G., Paramore, B., Van Cott, H. P., Grey, S. M., & Corlett, E. N. (1987). Task analysis. In Salvendy, G. (Ed.), Handbook of human factors (pp. 371–401). New York: John Wiley & Sons.Google Scholar
Eggleston, R. G. (2002). Cognitive systems engineering at 20-something: Where do we stand? In McNeese, M. D. & Vidulich, M. A. (Eds.), Cognitive systems engineering in military aviation environments: Avoiding cogminutia fragmentosa! (pp. 15–78). Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center.Google Scholar
Ericsson, K. A., & Simon, H. A. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.Google Scholar
Flanagan, J. C. (1954). The critical incident technique. Psychological Bulletin, 51, 327–358.CrossRefGoogle ScholarPubMed
Freeman, C., & Louça, F. (2001). As time goes by: From industrial revolutions to the information revolution. Oxford: Oxford University Press.Google Scholar
Gardner, H. (1985). The mind's new science: A history of the cognitive revolution. New York: Basic Books.Google Scholar
Hayes-Roth, F., Waterman, D. A., & Lenat, D. B. (Eds.). (1983). Building expert systems. Reading, MA: Addison-Wesley Publishing Company.Google Scholar
Hoffman, R. R. (1987, Summer). The problem of extracting the knowledge of experts from the perspective of experimental psychology. AI Magazine, 8, 53–67.Google Scholar
Hoffman, R. R., & Deffenbacher, K. (1992). A brief history of applied cognitive psychology. Applied Cognitive Psychology, 6, 1–48.CrossRefGoogle Scholar
Hoffman, R. R., Shadbolt, N. R., Burton, A. M., & Klein, G. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62, 129–158.CrossRefGoogle Scholar
Hoffman, R. R., Crandall, B. W., & Shadbolt, N. R. (1998). A case study in cognitive task analysis methodology: The critical decision method for elicitation of expert knowledge. Human Factors, 40, 254–276.CrossRefGoogle Scholar
Hoffman, R. R., & Woods, D. D. (2000). Studying cognitive systems in context: Preface to the special section. Human Factors, 42, 1–7 (Special section on cognitive task analysis).CrossRefGoogle ScholarPubMed
Hollnagel, E. & Cacciabue, P. C. (1999). Cognition, technology & wrok: An introduction. Cognition, Technology & Work, 1(1), 1–6.CrossRefGoogle Scholar
Hollnagel, E. (2003). Prolegomenon to cognitive task design. In Hollnagel, E. (Ed.), Handbook of cognitive task design (pp. 3–15). Mahwah, NJ: Lawrence Erlbaum Associates.CrossRefGoogle Scholar
Kieras, D. (2004). GOMS models for task analysis. In Diaper, D. & Stanton, N. A. (Eds.), The handbook of task analysis for human–computer interaction (pp. 83–116). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Kirwan, B., & Ainsworth, L. K. (Eds.). (1992). A guide to task analysis. London: Taylor & Francis.CrossRefGoogle Scholar
Klein, G. (1993). A recognition-primed decision (RPD) model of rapid decision making. In Klein, G., Orasanu, J., Calderwood, R., & Zsambok, C. E. (Eds.), Decision making in action: Models and methods (pp. 138–147). Norwood, NJ: Ablex.Google Scholar
Klein, G. A., Calderwood, R., & Macgregor, D. (1989). Critical decision method for eliciting knowledge. IEEE Transactions on Systems, Man, and Cybernetics, 19, 462–472.CrossRefGoogle Scholar
Klein, G., Ross, K. G., Moon, B. M., Klein, D. E., Hoffman, R. R., & Hollanagel, E. (May/June 2003). Macrocognition. IEEE Intelligent Systems, pp. 81–85.CrossRefGoogle Scholar
Lesgold, A. (2000). On the future of congnitive task analysis. In Schraagen, J. M., Chipman, S. F., & Shalin, V. L. (Eds.), Cognitive task analysis (pp. 451–465). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Luczak, H. (1997). Task analysis. In Salvendy, G. (Ed.), Handbook of human factors and ergonomics (2nd ed.) (pp. 340–416). New York: John Wiley & Sons.Google Scholar
Medsker, G. J., & Campion, M. A. (1997). Job and team design. In Salvendy, G. (Ed.), Handbook of human factors and ergonomics (2nd ed.) (pp. 450–489). New York: John Wiley & Sons.Google Scholar
Meister, D. (1999). The history of human factors and ergonomics. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Militello, L. G., & Hoffman, R. R. (2006). Perspectives on cognitive task analysis. Cambridge: MIT Press.Google Scholar
Militello, L. G., & Hutton, R. J. B. (1998). Applied cognitive task analysis (ACTA): A practitioner's toolkit for understanding cognitive task demands. Ergonomics, 41, 1618–1641.CrossRefGoogle ScholarPubMed
Miller, R. B. (1953). A method for man–machine task analysis. Dayton, OH: Wright Air Development Center (Technical Report 53–137).CrossRefGoogle Scholar
Miller, R. B. (1962). Task description and analysis. In Gagné, R. M. (Ed.), Psychological principles in system development (pp. 187–228). New York: Holt, Rinehart and Winston.Google Scholar
Münsterberg, H. (1914). Psychotechnik. Leipzig: J. A. Barth.Google Scholar
Nemeth, C. P. (2004). Human factors methods for design: Making systems human-centered. Boca Raton: CRC Press.CrossRefGoogle Scholar
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Perez, C. (2002). Technological revolutions and financial capital: The dynamics of bubbles and golden ages. Cheltenham: Edward Elgar.CrossRefGoogle Scholar
Potter, S. S., Roth, E. M., Woods, D. D., & Elm, W. C. (2000). Bootstrapping multiple converging cognitive task analysis techniques for system design. In Schraagen, J. M., Chipman, S. F., & Shalin, V. L. (Eds.), Cognitive task analysis (pp. 317–340). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Rasmussen, J. (1986). Information processing and human–machine interaction: An approach to cognitive engineering. Amsterdam: Elsevier.Google Scholar
Rouse, W. B. (1988). Adaptive aiding for human/computer control. Human Factors, 30, 431–443.CrossRefGoogle Scholar
Schaafstal, A. M. (1991). Diagnostic skill in process operation: A comparison between experts and novices. Unpublished dissertation. University of Groningen, The Netherlands.
Schaafstal, A. M. (1993). Knowledge and strategies in diagnostic skill. Ergonomics, 36, 1305–1316.CrossRefGoogle ScholarPubMed
Schaafstal, A. M., Schraagen, J. M., & Berlo, M. (2000). Cognitive task analysis and innovation of training: The case of structured troubleshooting. Human Factors, 42, 75–86.CrossRefGoogle ScholarPubMed
Schraagen, J. M. C. (1993). What information do river pilots use? In Proceedings of the International Conference on Marine Simulation and Ship Manoeuvrability MARSIM '93 (Vol. II, pp. 509–517). St. John's, Newfoundland: Fisheries and Marine Institute of Memorial University.
Schraagen, J. M. C. (1994). What information do river pilots use? (Report TM 1994 C-10). Soesterberg: TNO Institute for Human Factors.Google Scholar
Schraagen, J. M. C., & Leijenhorst, H. (2001). Searching for evidence: Knowledge and search strategies used by forensic scientists. In Salas, E. & Klein, G. (Eds.), Linking expertise and naturalistic decision making (pp. 263–274). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Schraagen, J. M. C., & Schaafstal, A. M. (1996). Training of systematic diagnosis: A case study in electronics troubleshooting. Le Travail Humain, 59, 5–21.Google Scholar
Schraagen, J. M., Chipman, S. F., & Shalin, V. L. (2000). Cognitive task analysis. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Seamster, T. L., Redding, R. E., & Kaempf, G. L. (1997). Applied cognitive task analysis in aviation. London: Ashgate.Google Scholar
Shepherd, A. (2001). Hierarchical task analysis. London: Taylor & Francis.CrossRefGoogle Scholar
Taylor, F. W. (1998). The principles of scientific management (unabridged republication of the volume published by Harper & Brothers, New York and London, in 1911). Mineola, NY: Dover Publications.Google Scholar
Vicente, K. J. (2001). Cognitive engineering research at Ris⊘ from 1962–1979. In Salas, E. (Ed.), Advances in human performance and cognitive engineering research (Vol. 1, pp. 1–57). New York: Elsevier.Google Scholar
Viteles, M. S. (1932). Industrial psychology. New York: W. W. Norton.Google Scholar
Woods, D. D., & Dekker, S. (2000). Anticipating the effects of technological change: A new era of dynamics for human factors. Theoretical Issues in Ergonomics Science, 1, 272–282.CrossRefGoogle Scholar

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