Use of Computer Games to Test Experimental Techniques and Cognitive Models
In design of computer systems, one attempts to match the interface to the needs of the users by a careful consideration of the mental representations and information processing strategies which will be effective for the various tasks of the users. In this effort, it is important to consider that the task repertoire will include familiar work routines as well as occasional requirements for problem solving and, in addition, that the system should be able to support a novice without frustrating the highly skilled users.
For this purpose, an experimental technique is needed which is less time consuming than, for instance, analysis of verbal protocols. The paper discusses the requirements to an experimental setup suited to study mental strategies, their evolution with training, and the related error mechanisms. It is concluded that computer games are well suited for this purpose due to their well structured, closed world and to the amount of data that can be collected from subjects while acquiring a high level of skill.
Unable to display preview. Download preview PDF.
- Dawkins, R., 1976, “Hierarchical Organization: A Candidate Principle for Ethology”, Growing Points in Ethology, Bateson, P. P. G. and Hinde, R. A., eds., Cambridge University Press, London.Google Scholar
- Magnusson, M., 1982, Temporal Configuration Analysis: Detection of a Meaningful Underlying Structure Through Artificial Categorization of a Real-Time Behavioural Stream, Presented at AI-Workshop, University of Uppsala, (private communication).Google Scholar
- Newell, A., and Rosenbloom, P. S., 1981, “Mechanism of Skill Acquisition and the Law of Practice”, Cognitive Skills and Their Acquisition, Anderson, J. R., ed., Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
- Rasmussen, J., 1980, “What Can be Learned from Human Error Reports?”, Changes in Working Life, Duncan, K., Gruneberg, M., and Wallis, D., eds., John Wiley and Sons, London.Google Scholar
- Rasmussen, J., 1985, Human Error Data, Facts or Fiction?, Riso-M-2499, Riso National Laboratory, Roskilde, Denmark.Google Scholar
- Reason, J., 1985, “Generic Error-Modelling System (GEMS): A Cognitive Framework for Locating Common Human Error Forms”, New Technology and Human Error, Rasmussen, J., Duncan, K., and Leplat, J., eds., John Wiley and Sons, London (in press).Google Scholar