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Mental models and problem solving in using a calculator
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human Factors in Computing Systems table of contents
Boston, Massachusetts, United States
Pages: 212 - 216  
Year of Publication: 1983
ISBN:0-89791-121-0
Authors
Frank G. Halasz  Stanford University and Xerox Palo Alto Research Center
Thomas P. Moran  Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Human Factors Soc : Human Factors Society
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 12,   Downloads (12 Months): 106,   Citation Count: 13
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ABSTRACT

It has often been suggested that users understand and reason about complex systems on the basis of a mental model of the system's internal mechanics. This paper describes an empirical study of how mental model knowledge is used in operating a stack calculator. One group of naive users were taught step-by-step procedures for solving typical problems on the calculator. A second group of naive users were taught the same procedures in conjunction with an explicit model of the calculator's stack mechanism. The users then solved problems on the calculator while thinking aloud. Analysis of the performance of these two groups indicates that the model had little effect in routine problem solving situations, but significantly improved performance for novel problems. Analyses of the think-aloud protocols indicate that the users employed five distinct modes of problem solving: skilled methods, problem reduction strategies, a conversion algorithm, model-based problem space search, and methods-based problem space search. Skilled methods, problem reduction strategies and the conversion algorithm were used for solving more routine problems and did not necessarily depend on mental model knowledge. Problem space search was used in the novel problems. For the model users, the states and operations of the stack mechanism served as the problem space to be searched for a problem solution. In contrast, the no-model users employed a less effective search strategy based on the recombination of pieces of known procedures. These results indicate that explicitly teaching naive users an appropriate mental model of a system can provide a psychologically effective and robust basis for operating the machine.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Gentner, D.. and Stevens, A.L.. Eds. Mental Models. Hillsdale, N.J.: Erlbaum, 1983.
 
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Young, R. M. The machine inside the machine: users' models of pocket calculators. International Journal of Man-Machine Studies, 1981, 15, 51-85.

CITED BY  13

Collaborative Colleagues:
Frank G. Halasz: colleagues
Thomas P. Moran: colleagues