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

John M. Carroll; Dana S. Kay

doi:10.1145/317456.317485

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

John M. Carroll, Dana S. Kay

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

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 language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	ACM
Pages	149-153
Number of pages	5
ISBN (Print)	0897911490, 9780897911498
DOIs	https://doi.org/10.1145/317456.317485
State	Published - 1985

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1145/317456.317485

Cite this

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

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.",

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AU - Kay, Dana S.

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N2 - 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.

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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DO - 10.1145/317456.317485

M3 - Conference contribution

AN - SCOPUS:0022247824

SN - 0897911490

SN - 9780897911498

SP - 149

EP - 153

BT - Unknown Host Publication Title

PB - ACM

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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