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12 - Eliciting and Representing the Knowledge of Experts

from PART III - METHODS FOR STUDYING THE STRUCTURE OF EXPERTISE

Robert R. Hoffman
Affiliation:
Florida Institute for Human and Machine Cognition (FIHMC)
Gavan Lintern
Affiliation:
Advanced Information Engineering Services, Inc, A General Dynamics Company
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

Keywords: knowledge elicitation, expert systems, intelligent systems, methodology, Concept Maps, Abstraction-Decompo- sition, critical decision method

Introduction

The transgenerational transmission of the wisdom of elders via storytelling is as old as humanity itself. During the Middle Ages and Renaissance, the Craft Guilds had well-specified procedures for the transmission of knowledge, and indeed gave us the developmental scale that is still widely used: initiate, novice, apprentice, journeyman, expert, and master (Hoffman, 1998). Based on interviews and observations of the workplace, Denis Diderot (along with 140 others, including Emile Voltaire) created one of the great works of the Enlightenment, the 17 volume Encyclopedie (Diderot, 1751–1772), which explained many “secrets” – the knowledge and procedures in a number of tradecrafts. The emergent science of psychology of the 1700s and 1800s also involved research that, in hindsight, might legitimately be regarded as knowledge elicitation (KE). For instance, a number of studies of reasoning were conducted in the laboratory of Wilhelm Wundt, and some of these involved university professors as the research participants (Militello & Hoffman, forthcoming). In the decade prior to World War I, the stage was set in Europe for applied and industrial psychology; much of that work involved the systematic study of proficient domain practitioners (see Hoffman & Deffenbacher, 1992).

The focus of this chapter is on a more recent acceleration of research that involves the elicitation and representation of expert knowledge (and the subsequent use of the representations, in design).

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Publisher: Cambridge University Press
Print publication year: 2006

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References

Adelman, L. (1989). Management issues in knowledge elicitation. IEEE Transactions on Systems, Man, and Cybernetics, 19, 483–488.CrossRefGoogle Scholar
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view, 2nd ed. New York: Holt, Rinehart and Winston.Google Scholar
Banaji, M. R., & Crowder, R. G. (1989). The bankruptcy of everyday memory. American Psychologist, 44, 1185–1193.CrossRefGoogle Scholar
Barber, P. (1988). Applied cognitive psychology. London: Methuen.Google Scholar
Becerra-Fernandez, I., Gonzalez, A., & Sabherwal, R. (2004). Knowledge management: challenges, solutions, and technologies. Upper Saddle River, NJ: Prentice-Hall.Google Scholar
Bonaceto, C., & Burns, K. (forthcoming). Mapping the mountains: A survey of cognitive engineering methods and uses. In Hoffman, R. R. (Ed.), Expertise out of context: Proceedings of the Sixth International Conference on Naturalistic Decision Making. Mahwah, NJ: Erlbaum.Google Scholar
Burns, C., & Hajdukiewicz, J. R. (2004). Ecological interface design. Boca Raton, FL: CRC Press.Google Scholar
Burns, C. M., Bryant, D., & Chalmers, B. (2001). Scenario mapping with work domain analysis. In Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting (pp. 424–428). Santa Monica, CA: Human Factors and Ergonomics Society.Google Scholar
Cañas, A. J., Hill, G., Carff, R., Suri, N., Lott, J., Eskridge, T., Gómez, G., Arroyo, M., & Carvajal, R. (2004). CmapTools: A Knowledge Modeling and Sharing Environment. In Cañas, A. J., Novak, J. D., & González, F. M. (Eds.), Concept Maps: Theory, Methodology, Technology, Proceedings of the 1st International Conference on Concept Mapping (pp. 125–133). Pamplona, Spain: Universidad Pública de Navarra.Google Scholar
Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55–81.CrossRefGoogle Scholar
Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representations of physics problems by experts and novices. Cognitive Science, 5, 121–152.CrossRefGoogle Scholar
Chi, M. T. H., Glaser, R., & Farr, M. L. (Eds.) (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.Google Scholar
Chow, R., & Vicente, K. J. (2002). A field study of emergency ambulance dispatching: Implications for decision support. In Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting (pp. 313–317). Santa Monica, CA: Human Factors and Ergonomics Society.Google Scholar
Clancey, W. J. (1993). The knowledge level reinterpreted: Modeling socio-technical systems. In Ford, K. M. & Bradshaw, J. M. (Eds.), Knowledge acquisition as modeling (pp. 33–49, Pt. 1). New York: Wiley. Google Scholar
Cooke, N. M., & McDonald, J. E. (1986). A formal methodology for acquiring and representing expert knowledge. Proceedings of the IEEE 74, 1422–1430.CrossRefGoogle Scholar
Cooke, N. M., & McDonald, J. E. (1987). The application of psychological scaling techniques to knowledge elicitation for knowledge-based systems. International Journal of Man-Machine Studies, 26, 533–550.CrossRefGoogle Scholar
Crandall, B., Klein, G., & Hoffman, R. R. (2006). Working Minds: A practitioner's guide to cognitive task analysis. Cambridge, MA: MIT Press.Google Scholar
Cullen, J., & Bryman, A. (1988). The knowledge acquisition bottleneck: Time for reassessment? Expert Systems, 5, 216–225.CrossRefGoogle Scholar
David, J.-M., Krivine, J.-P., & Simmons, R. (Eds.) (1993). Second-generation expert systems. Berlin: Springer Verlag.CrossRefGoogle Scholar
Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Cambridge, MA: Harvard Business School Press.Google Scholar
De Keyser, V., Decortis, F., & Van Daele, A. (1998). The approach of Francophone ergonomy: Studying new technologies. In Keyser, V., Qvale, T., & Wilpert, B. (Eds.), The meaning of work and technological options (pp. 147–163). Chichester, England: Wiley.Google Scholar
Dekker, S. W. A., Nyce, J. M., & Hoffman, R. R. (March–April 2003). From contextual inquiry to designable futures: What do we need to get there? IEEE Intelligent Systems, pp. 74–77.Google Scholar
Diderot, D. (with Alembert, J.) (Eds.) (1751–1772). Encyclopédie ou Dictionnaire raisonné des sciences, des arts et des métiers, par une Société de Gens de lettere. Paris: Le Breton. Compact Edition published in 1969 by The Readex Microprint Corporation, New York. Translations of selected articles can be found at http://www.hti.umich.edu/d/did/.Google Scholar
Duda, J., Gaschnig, J., & Hart, P. (1979). Model design in the PROSPECTOR consultant system for mineral exploration. In Michie, D. (Ed.), Expert systems in the micro-electronic age (pp. 153–167). Edinburgh: Edinburgh University Press.Google Scholar
Endsdley, M. R., & Garland, D. L. (2000). Situation awareness analysis and measurement. Hillsdale, NJ: Erlbaum.Google Scholar
Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data, 2 nd ed. Cambridge, MA: MIT Press.Google Scholar
Evans, A. W., Jentsch, F., Hitt, J. M., Bowers, C., & Salas, E. (2001). Mental model assessments: Is there a convergence among different methods? In Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting (pp. 293–296). Santa Monica, CA: Human Factors and Ergonomics Society.Google Scholar
Feigenbaum, E. A., Buchanan, B. G., & Lederberg, J. (1971). On generality and problem solving: A case study using the DENDRAL program. In Meltzer, B. & Michie, D. (Eds.), Machine intelligence 6 (pp. 165–190). Edinburgh: Edinburgh University Press.Google Scholar
Ford, K. M., & Adams-Webber, J. R. (1992). Knowledge acquisition and constructive epistemology. In Hoffman, R. (Ed.), The cognition of experts: Psychological research and empirical AI (pp. 121–136). New York: Springer-Verlag.Google Scholar
Ford, K. M., Coffey, J. W., Cañas, A., Andrews, E. J., & Turne, C. W. (1996). Diagnosis and explanation by a nuclear cardiology expert system. International Journal of Expert Systems, 9, 499–506.Google Scholar
Forsyth, D. E., & Buchanan, B. G. (1989). Knowledge acquisition for expert systems: Some pitfalls and suggestions. IEEE Transactions on Systems, Man, and Cybernetics, 19, 345–442.Google Scholar
Gaines, B. R., & Boose, J. H. (Eds.) (1988). Knowledge acquisition tools for expert systems. London: Academic Press.Google Scholar
Gagné, R. M., & Smith, E. C. (1962). A study of the effects of verbalization on problem solving. Journal of Experimental Psychology, 63, 12–18.CrossRefGoogle ScholarPubMed
Gentner, D., & Stevens, A. L. (Eds.) (1983). Mental models. Mahwah, NJ: Erlbaum. Google Scholar
Glaser, R. (1987). Thoughts on expertise. In Schooler, C. & Schaie, W. (Eds.), Cognitive functioning and social structure over the life course (pp. 81–94). Norwood, NJ: Ablex.Google Scholar
Glaser, R., Lesgold, A., Lajoie, S., Eastman, R., Greenberg, L., Logan, D., Magone, M., Weiner, A., Wolf, R., & Yengo, L. (1985). “Cognitive task analysis to enhance technical skills training and assessment.” Report, Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA.
Gordon, S. E. (1992). Implications of cognitive theory for knowledge acquisition. In Hoffman, R. R. (Ed.), The psychology of expertise: Cognitive research and empirical AI (pp. 99–120). Mahwah, NJ: Erlbaum.CrossRefGoogle Scholar
Gordon, S. E., & Gill, R. T. (1997). Cognitive task analysis. In Zsambok, C. and Klein, G. (Eds.), Naturalistic decision making (pp. 131–140). Mahwah, NJ: Erlbaum. Google Scholar
Hart, A. (1986). Knowledge acquisition for expert systems. London: Kogan Page.Google Scholar
Hayes-Roth, F., Waterman, D. A., & Lenat, D. B. (1983). Building expert systems. Reading, MA: Addison-Wesley.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. (1991). Human factors psychology in the support of forecasting: The design of advanced meteorological workstations. Weather and Forecasting, 6, 98–110.2.0.CO;2>CrossRefGoogle Scholar
Hoffman, R. R. (Ed.) (1992). The psychology of expertise: Cognitive research and empirical AI. Mahwah, NJ: Erlbaum.CrossRefGoogle Scholar
Hoffman, R. R. (1998). How can expertise be defined?: Implications of research from cognitive psychology. In Williams, R., Faulkner, W., & Fleck, J. (Eds.), Exploring expertise (pp. 81–100). New York: Macmillan.CrossRefGoogle Scholar
Hoffman, R. R. (2002, September). An empirical comparison of methods for eliciting and modeling expert knowledge. In Proceedings of the 46th Meeting of the Human Factors and Er-gonomics Society (pp. 482–486). Santa Monica, CA: Human Factors and Ergonomics Society.Google Scholar
Hoffman, R. R. (2003a). “Use of Concept Mapping and the Critical Decision Method to support Human-Centered Computing for the intelligence community.” Report, Institute for Human and Machine Cognition, Pensacola, FL.
Hoffman, R. R. (2003b). “Knowledge recovery.” Report, Institute for Human and Machine Cognition, Pensacola, FL.
Hoffman, R. R., Coffey, J. W., & Carnot, M. J. (2000, November). Is there a “fast track” into the black box?: The Cognitive Modeling Procedure. Poster presented at the 41st Annual Meeting of the Psychonomics Society, New Orleans, LA.
Hoffman, R. R., Crandall, B., & Shadbolt, N. (1998). A case study in cognitive task analysis methodology: The Critical Decision Method for the elicitation of expert knowledge. Human Factors, 40, 254–276.CrossRefGoogle 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., & Deffenbacher, K. A. (1993). An analysis of the relations of basic and applied science. Ecological Psychology, 5, 315–352.CrossRefGoogle Scholar
Hoffman, R. R., Coffey, J. W., & Ford, K. M. (2000). “A case study in the research paradigm of Human-Centered Computing: Local expertise in weather forecasting.” Report to the National Technology Alliance on the Contract, “Human-Centered System Prototype.” Institute for Human and Machine Cognition, Pensacola, FL.
Hoffman, R. R., Ford, K. M., & Coffey, J. W. (2000). “The handbook of human-centered computing.” Report, Institute for Human and Machine Cognition, Pensacola, FL.
Hoffman, R. R., & Hanes, L. F. (2003/July–August). The boiled frog problem. IEEE: Intelligent Systems, pp. 68–71.Google 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., Trafton, G., & Roebber, P. (2006). Minding the weather: How expert forecasters think. Cambridge, MA: MIT Press.Google Scholar
Hoffman, R. R., & Woods, D. D. (2000). Studying cognitive systems in context. Human Factors, 42, 1–7.CrossRefGoogle ScholarPubMed
Hoc, J.-M., Cacciabue, P. C., & Hollnagel, E. (1996). Expertise and technology: “I have a feeling we're not in Kansas anymore.” In Hoc, J.-M., Cacciabue, P. C., & Hollnagel, E. (Eds.), Expertise and technology: Cognition and human-computer cooperation (pp. 279–286). Mahwah, NJ: Erlbaum.Google Scholar
Hollnagel, E., & Woods, D. D. (1983). Cognitive systems engineering: New wine in new bottles. International Journal of Man-Machine Studies, 18, 583–600.CrossRefGoogle Scholar
Johnston, N. (2003). The paradox of rules: Procedural drift in commercial aviation. In Jensen, R. (Ed.), Proceedings of the Twelfth International Symposium on Aviation Psychology (pp. 630–635). Dayton, OH: Wright State University.Google Scholar
Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press. Google Scholar
Klahr, D. (Ed.) (1976). Cognition and instruction. Hillsdale, NJ: Erlbaum.Google Scholar
Klahr, D., & Kotovsky, K. (Eds.) (1989). Complex information processing: The impact of Herbert A. Simon. Mahwah, NJ: Erlbaum.Google Scholar
Klein, G. (1992). Using knowledge elicitation to preserve corporate memory. In Hoffman, R. R. (Ed.), The psychology of expertise: Cognitive research and empirical AI (pp. 170–190). Mahwah, NJ: Erlbaum.CrossRefGoogle 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., Orasanu, J., Calderwood, R., & Zsambok, C. E. (Eds.) (1993). Decision making in action: Models and methods. Norwood, NJ: Ablex Publishing Corporation.Google Scholar
Klein, G., & Weitzenfeld, J. (1982). The use of analogues in comparability analysis. Applied Ergonomics, 13, 99–104.CrossRefGoogle ScholarPubMed
Knorr-Cetina, K. D. (1981). The manufacture of knowledge. Oxford: Pergamon.Google Scholar
Knorr-Cetina, K. D., & Mulkay, M. (1983). Science observed. Berkeley Hills, CA: Sage.Google Scholar
Koopman, P., & Hoffman, R. R. (2003/November–December). Work-arounds, make-work, and kludges. IEEE: Intelligent Systems, pp. 70–75.Google Scholar
LaFrance, M. (1992). Excavation, capture, collection, and creation: Computer scientists' metaphors for eliciting human expertise. Metaphor and Symbolic Activity, 7, 135–156.CrossRefGoogle Scholar
Lave, J. (1988). Cognition in practice: Mind, mathematics, and culture in everyday life. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Lesgold, A. M. (1984). Acquiring expertise. In Anderson, J. R. & Kosslyn, S. M. (Eds.), Tutorials in learning and memory: Essays in honor of Gordon Bower (pp. 31–60). San Francisco, CA: W. H. Freeman.Google Scholar
Lesgold, A., Feltovich, P. J., Glaser, R., & Wang, M. (1981). “The acquisition of perceptual diagnostic skill in radiology.” Technical Report No. PDS-1, Learing Research and Development Center, University of Pittsburgh, Pittsburgh, PA.
Lintern, G. (2003). Tyranny in rules, autonomy in maps: Closing the safety management loop. In Jensen, R. (Ed.), Proceedings of the Twelfth International Symposium on Aviation Psychology (pp. 719–724). Dayton, OH: Wright State University.Google Scholar
Lintern, G., Diedrich, F. J. & Serfaty, D. (2002). Engineering the community of practice for maintenance of organizational knowledge. Proceedings of the IEEE 7th Conference on Human Factors and Power Plants (pp. 6.7–6.13). New York: IEEE.Google Scholar
Lintern, G., Miller, D., & Baker, K. (2002). Work centered design of a USAF mission planning system. In Proceedings of the 46th Human Factors and Ergonomics Society Annual Meeting (pp. 531–535). Santa Monica, CA: Human Factors and Ergonomics Society.
McDonald, N., Corrigan, S., & Ward, M. (2002). Cultural and organizational factors in system safety: Good people in bad systems. Proceedings of the 2002 International Conference on Human-Computer Interaction in Aeronautics (HCI-Aero 2002) (pp. 205–209). Menlo Park, CA: American Association for Artificial Intelligence Press.Google Scholar
McGraw, K. L., & Harbison-Briggs, K. (1989). Knowledge acquisition: Principles and guidelines. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Means, B., & Gott, S. P. (1988). Cognitive task analysis as a basis for tutor development: Articulating abstract knowledge representations. In Psotka, J., Massey, L. D., & Mutter, S. A. (Eds.), Intelligent tutoring systems: Lessons learned (pp. 35–57). Hillsdale, NJ: Erlbaum.Google Scholar
Mieg, , H. (2000). The social psychology of expertise. Mahwah, NJ: Erlbaum.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
Militello, L., & Hoffman, R. R. (forthcoming). Perspectives on cognitive task analysis. Mahwah NJ: Erlbaum.Google Scholar
Militello, L., & Quill, L. (2006). Expert apprentice strategies. In Hoffman, R. R. (Ed.), Expertise out of context. Mahwah, NJ: Erlbaum.Google Scholar
Naikar, N., & Sanderson, P. M. (2001). Evaluating system design proposals with work domain analysis. Human Factors, 43, 529–542.CrossRefGoogle ScholarPubMed
Naikar, N., & Saunders, A. (2003). Crossing the boundaries of safe operation: A technical training approach to error management. Cognition Technology and Work, 5, 171–180.CrossRefGoogle Scholar
Neale, I. M. (1988). First generation expert systems: A review of knowledge acquisition methodologies. Knowledge Engineering Review, 3, 105–146.CrossRefGoogle Scholar
Novak, J. D. (1998). Learning, creating, and using knowledge: Concept maps as facilitative tools in schools and corporations. Mahweh, NJ: Lawrence Erlbaum Associates.Google Scholar
Orr, J. (1996). Talking about machines: An ethnography of a modern job. Ithaca, NY: Cornell University Press.Google Scholar
Potter, S. S., Roth, E. M., Woods, D. D., and Elm, W. C. (2000). Bootstrapping multiple converging cognitive task analysis techniques for system design. In Schraagen, J. M. and Chipman, S. F. (Eds.), Cognitive task analysis (pp. 317–340). Mahwah, NJ: Erlbaum.Google Scholar
Prerau, D. (1989). Developing and managing expert systems: Proven techniques for business and industry. Reading, MA: Addison Wesley.Google Scholar
Raeth, P. G. (Ed.) (1990). Expert systems. New York: IEEE Press.Google Scholar
Rasmussen, J. (1985). The role of hierarchical knowledge representation in decision-making and system-management. IEEE Transactions on Systems, Man, and Cybernetics, SMC-15, 234–243.CrossRefGoogle Scholar
Rasmussen, J. (1986). Information processing and human-machine interaction: An approach to cognitive engineering. Amsterdam: North-Holland.Google Scholar
Rasmussen, J. (1992). Use of field studies for design of workstations for integrated manufacturing systems. In Helander, M. & Nagamachi, N. (Eds.), Design for manufacturability: A systems approach to concurrent engineering and ergonomics (pp. 317–338). London: Taylor and Francis.Google Scholar
Rasmussen, J., Petjersen, A. M., & Goodstein, L. P. (1994). Cognitive systems engineering. New York: John Wiley.Google Scholar
Rasmussen, J., & Rouse, W. B. (Eds.) (1981). Human detection and diagnosis of system failures. New York: Plenum Press.CrossRefGoogle Scholar
Rook, F. W., & Croghan, J. W. (1989). The knowledge acquisition activity matrix: A systems engineering conceptual framework. IEEE Transactions on Systems, Man, and Cybernetics, 19, 586–597.CrossRefGoogle Scholar
Schmidt, L., & Luczak, H. (2000). Knowledge representation for engineering design based on a cognitive model. In Proceedings of the IEA 2000/HFES 2000 Congress (vol. 1) (pp. 623–626). Santa Monica, CA: Human Factors and Ergonomics Society.
Scribner, S. (1984). Studying working intelligence. In Rogoff, B. & Lave, S. (Eds.), Everyday cognition: Its development in social context (pp. 9–40). Cambridge: Harvard University Press.Google Scholar
Shadbolt, N. R., & Burton, A. M. (1990). Knowledge elicitation techniques: Some experimental results. In McGraw, K. L. & Westphal, C. R. (Eds.), Readings in knowledge acquisition (pp. 21–33). New York: Ellis Horwood.Google Scholar
Shanteau, J. (1992). Competence in experts: The role of task characteristics. Organizational Behavior and Human Decision Processes, 53, 252–266.CrossRefGoogle Scholar
Shortliffe, E. H. (1976). Computer-based medical consultations: MYCIN. New York: Elsevier.Google Scholar
Simon, H. A., & Hayes, J. R. (1976). Understanding complex task instructions. In Klahr, D. (Ed.), Cognition and instruction (pp. 51–80). Hillsdale, NJ: Erlbaum.Google Scholar
Spradley, J. P. (1979). The ethnographic interview. New York: Holt, Rinehart and Winston.Google Scholar
Stein, E. W. (1997). A look at expertise from a social perspective. In Feltovich, P. J., Ford, K. M., & Hoffman, R. R. (Eds.), Expertise in context (pp. 181–194). Cambridge: MIT Press.Google Scholar
Sternberg, R. J., & Frensch, P. A. (Eds.) (1991). Complex problem solving: Principles and mechanisms. Mahwah, NJ: Erlbaum.Google Scholar
Suchman, L. (1987). Plans and situated actions: The problem of human-machine communication. Cambridge: Cambridge University Press.Google Scholar
Vicente, K. J. (1999). Cognitive work analysis: Towards safe, productive, and healthy computer-based work. Mahwah, NJ: Erlbaum.Google Scholar
Vicente, K. J., Christoffersen, K., & Pereklita, A. (1995). Supporting operator problem solving through ecological interface design. IEEE Transactions on Systems, Man, and Cybernetics, SMC-25, 529–545.CrossRefGoogle Scholar

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