Abstract | ||
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We review our efforts to model user command production in an attempt to characterize the knowledge users of computers have at various stages of learning. We modeled computer users with a system called NETWORK (Mannes and Kintsch, 1988; 1991) and modeled novice, intermediate, and expert UNIX command production data collected by Doane et al. (1990b) with a system called UNICOM (Doane et al., 1989a; 1991). We use the construction-integration theory of comprehension proposed by Kintsch (1988) as a framework for our analyses. By focusing on how instructions activate the knowledge rele/ant to the performance of the specified task, we have successfully modeled major aspects of correct user performance by incorporating in the model knowledge about individual commands and knowledge that allows the correct combination of elementary commands into complex, novel commands. Thus, experts can be modeled in both NETWORK and in UNICOM. We further show that salient aspects of novice and intermediate performance can be described by removing critical elements of knowledge from the expert UNICOM model. Results suggest that our comprehension-based approach has promise for understanding user interactions and implications for system design are discussed. |
Year | DOI | Venue |
---|---|---|
1992 | 10.1007/BF01104706 | User Model. User-Adapt. Interact. |
Keywords | Field | DocType |
levels of user expertise,human-computer interaction,novel plans,discourse comprehension | Computer science,Systems design,Unix,Human–computer interaction,Action planning,Comprehension,Salient | Journal |
Volume | Issue | Citations |
2 | 3 | 4 |
PageRank | References | Authors |
1.23 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stephanie M. Doane | 1 | 69 | 10.46 |
Suzanne M. Mannes | 2 | 27 | 6.65 |
Walter Kintsch | 3 | 74 | 14.66 |
Peter G. Polson | 4 | 1119 | 356.95 |