A Cognitive Modeling Technique for Complex Decision Strategies
| Autor: | Janine A. Purcell |
|---|---|
| Rok vydání: | 1990 |
| Předmět: |
Structure (mathematical logic)
Cognitive model Decision support system Protocol data unit business.industry Computer science 05 social sciences General Medicine 050105 experimental psychology Task (project management) Human–computer interaction GOMS Component (UML) Systems design 0501 psychology and cognitive sciences Artificial intelligence business 050107 human factors |
| Zdroj: | Proceedings of the Human Factors Society Annual Meeting. 34:254-258 |
| ISSN: | 0163-5182 |
| DOI: | 10.1177/154193129003400403 |
| Popis: | Accurate models of operator decision making have been advocated by a number of researchers as a fundamental component of system design (Glenn, (1989); Norman, (1986); and Rasmussen, (1985)). Such models can be used to strengthen the design integrity of decision support systems in which tasks are allocated between human and computer. In this investigation, a cognitive modeling technique based on the GOMS model of Card, Moran, and Newell (1983) was used to analyze the composition and structure of decision-making strategies in a multidimensional diagnostic task. Two general strategies emerged along with the finding that certain strategies predominated according to visual display format. The methodology offers a promising approach to the analysis of verbal and retrospective protocol data solicited in conjunction with complex decision-making tasks. |
| Databáze: | OpenAIRE |
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