Prompting, feedback and error correction in the design of a scenario machine

  • Authors:
  • John M. Carroll;Dana S. Kay

  • Affiliations:
  • User Interface Institute, IBM Thomas J. Watson Research Center, Yorktown Heights, NY;Department of Psychology, Yale University, Box 11A, Yale Station, New Haven, CT and User Interface Institute, IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 1985

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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 has been a major focus of the recent work in our laboratory ([6], [9]). The project such work must entrain is the development of design approaches to these problems. We have been and are developing alternate designs for training manuals and for in-system training ([2], [4], [5], [7]).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.