We use the term cognitive task analysis (CTA) to refer to the cognitive aspects of any task (including primarily physical tasks and tasks conducted in teams), and distinguish two linked phases: 1) elicitation and 2) representation. This paper addresses the representation of cognitive task content, for its critical role in bridging CTA with cognitive engineering. An ongoing task analysis of jet fighter crewmembers on air defense supression (Wild Weasel) missions provides an opportunity to comment critically on the utility of the Plan-Goal Graph representation (Sewell & Geddes, 1990) we have been using.
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References
1.
AndersonJ. R. (1993). Rules of the mind. Hillsdale, NJ: Lawrence Erlbaum.
2.
AndersonJ. R.BoyleC. F.CorbettA. T.LewisM. W. (1990). Cognitive modeling and intelligent tutoring. In ClanceyW. J.SolowayE., Special issue on artificial intelligence and learning environments, Artificial Intelligence, 42, 7–49.
3.
CardS. K.MoranT. P.NewellA. (1983). The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
4.
ChiM. T. H.FeltovichP. J.GlaserR. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.
5.
DreyfusH. L.DreyfusS. E. (1988) Mind over machine: The power of human intuition and expertise in the era of the computer. New York: The Free Press.
6.
DuBoisD.ShalinV. L. (1995) Job knowledge test design: Cognitive contributions to content oriented methods. In NicholsP.ChipmanS.BrennanR.Alternative diagnostic assessment. Hillsdale: Lawrence Erlbaum Associates, 189–220.
7.
GreenwoodJ. D. (1991). The future of folk psychology. Cambridge: Cambridge University Press.
8.
HoffmanR. R.PikeR. J. (1995). On the specification of the information available for the perception and description of the natural terrain. In HancockP.A.FlachJ.CairdJ.K.VicenteK. J., Local applications of the ecological approach to human-machine systems (285–323). Hillsdale, NJ: Lawrence Erlbaum Associates.
9.
KierasD. E.BovairS. (1984). The role of a mental model in learning to operate a device. Cognitive Science, 8, 255–273.
10.
KleinG. A. (1993). A recognition primed (RPD) model of rapid decision making. In KleinG.A.OrasanuJ.CalderwoodR.ZsambokC. E., Decision making in context (pp. 138–147). Norwood, NJ: Ablex.
11.
KleinG. A.HoffmanR. R. (1993). Seeing the invisible: Perceptual-cognitive aspects of expertise. In RabinowitzM.Cognitive science foundations of instruction (pp. 203–226). Hillsdale, NJ: Lawrence Erlbaum Asociates.
12.
LeviK.ShalinV. L.PerschbacherD. (1990). Learning plans for an intelligent assistant by observing user behavior. International Journal of Man-Machine Studies, 33, 489–503, and presented at the 3rd Knowledge Acquisition for Knowledge-based Systems Workshop, Banff, Alberta, Canada.
13.
LivingstonE. (1987). Making sense of ethno-methodology. London: Routledge & Kegan Paul.
14.
MitchellC. M. (1987) GT-MSOCC: A domain for research on human-computer interaction and decision aiding in supervisory control systems,IEEE Transactions on Systems, Man, and Cybernetics, SMC-17:553–572.
15.
MorrisN. M.RouseW. B. (1985) The effects of type of knowledge upon human problem solving in a process control task,IEEE Transactions on Systems, Man and Cybernetics, SMC-15:698–707.
16.
MurthyM. R. (1996). Display proximity in manual control: effects on performance and learning. Unpublished Masters Thesis. Department of Industrial Engineering, SUNY at Buffalo, Buffalo, NY.
17.
NewellA. (1973). Artificial intelligence and the concept of mind. In SchankR. C.ColbyK. M.Computer models of language and thought (pp. 2–60). San Francisco: W.H. Freeman.
18.
PayneS. J.GreenT. R. G. (1986). Task-action grammars: A model of the mental representation of task languages. Human Computer Interaction, 2, 93–133.
19.
RasmussenJ. (1986). Information processing and human-machine interaction: An approach to cognitive engineering.Amsterdam: North Holland.
20.
RosenbrockH. (1992). Science, technology and purpose. AI & Society, 6: 3–17.
SchönD.A. (1992) Generative metaphor: A perspective on problem-setting in social policy. In OrtonyA.Metaphor and thought, 2nd Edition. (Cambridge: Cambridge University Press) 137–163.
23.
SewellD. R.GeddesN. D. (1990). A plan and goal based method for computer-human system design. Human Computer Interaction: INTERACT 90 (pp. 283–288). New York: North Holland.
24.
ShalinV. L.GeddesN. D.KimC.KumarS.MikesellB.MurthyM. R.PrabhuG. (1998). Methods and Principles for Task Dependent Interface Content Final Report for Contract No. NAG-1-1342, NASA Langley Research Center.
25.
WinogradT.FloresF. (1986). Understanding computers and cognition. Norwood, NJ: Ablex Corporation.
