PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE.

John Carroll, Dana S. Kay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The recent technical literature abounds with a variety of studies documenting and analyzing the problems people encounter in learning to use contemporary computer equipment. This paper is a report of work in progress in this area. We describe a design approach to in-system training referred to as the Scenario Machine, and describe some initial results from an empirical learning study of four scenario machines.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
EditorsLorraine Borman, Bill Curtis
PublisherACM
Pages149-153
Number of pages5
ISBN (Print)0897911490
StatePublished - Dec 1 1985

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Carroll, J., & Kay, D. S. (1985). PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE. In L. Borman, & B. Curtis (Eds.), Unknown Host Publication Title (pp. 149-153). ACM.
Carroll, John ; Kay, Dana S. / PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE. Unknown Host Publication Title. editor / Lorraine Borman ; Bill Curtis. ACM, 1985. pp. 149-153
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Carroll, J & Kay, DS 1985, PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE. in L Borman & B Curtis (eds), Unknown Host Publication Title. ACM, pp. 149-153.

PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE. / Carroll, John; Kay, Dana S.

Unknown Host Publication Title. ed. / Lorraine Borman; Bill Curtis. ACM, 1985. p. 149-153.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The recent technical literature abounds with a variety of studies documenting and analyzing the problems people encounter in learning to use contemporary computer equipment. This paper is a report of work in progress in this area. We describe a design approach to in-system training referred to as the Scenario Machine, and describe some initial results from an empirical learning study of four scenario machines.

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Carroll J, Kay DS. PROMPTING, FEEDBACK AND ERROR CORRECTION IN THE DESIGN OF A SCENARIO MACHINE. In Borman L, Curtis B, editors, Unknown Host Publication Title. ACM. 1985. p. 149-153