skip to main content
10.1145/800049.801746acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article
Free Access

Evaluating the suggestiveness of command names

Published:15 March 1982Publication History

ABSTRACT

An important feature of the design of human-computer interfaces is that of command languages: the vocabulary and syntax that allow a user to express commands to the system. If we look at command languages from the standpoint of natural languages, rather than formal ones, then there are three aspects to their user interface. The first is the overall structure of the user-system dialogue—its pragmatics, so to speak (e.g., [3]), which includes issues of contextual reference, presuppositions, and so on. The second aspect of command languages is their syntax (e.g., [1], [4]). The important issue here is the trade-off between consistency of the syntax and its similarity to that of natural language. The third aspect of command languages is their semantics, primarily that of their commands. Most command languages are fairly small, with simple data and control structures, and so their semantics are fairly trivial. More important is the “lexical” semantics of commands and their arguments and parameters. The crucial factor here is the names given to the entities and operations in the system by the command language: if those names are not apt, performance will be impaired just as with poorly designed syntax or dialogue structure. This paper investigates the psycholinguistic aspects of this naming problem.

References

  1. 1.Barnard, P. J., Hammond, N. V., Morton, J., Long, J. B., and Clark, I.A. Consistency and compatibility in human-computer dialogue. Int. J. of Man-Machine Studies, 1981, 15, 87-134.Google ScholarGoogle ScholarCross RefCross Ref
  2. 2.Black, J., and Moran, T. Learning and Remembering Command Names. Proceedings of the Conference on Human Factors in Computer Systems. Gaithersburg, Maryland. March, 1982. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Levin, J., and Moore, J. Dialogue games: meta-communication structures for natural language interaction. Cognitive Science. 1: 355-420. 1977.Google ScholarGoogle ScholarCross RefCross Ref
  4. 4.Moran, T. P. The Command Language Grammar: a representation for the user interface of interactive computer systems. Int. J. of Man-Machine Studies, 1981, 15, 3-50.Google ScholarGoogle ScholarCross RefCross Ref
  5. 5.Tversky, A. Features of similarity. Psychological Review. 84: 327-352. 1977.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Tversky, A. Studies in similarity. in E. Rosch and B. Lloyd, eds., Cognition and Categorization. Hillsdale, N.J.: Lawrence Erlbaum. 1979.Google ScholarGoogle Scholar

Index Terms

  1. Evaluating the suggestiveness of command names

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI '82: Proceedings of the 1982 Conference on Human Factors in Computing Systems
        March 1982
        399 pages
        ISBN:9781450373890
        DOI:10.1145/800049

        Copyright © 1982 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 March 1982

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        CHI '82 Paper Acceptance Rate75of165submissions,45%Overall Acceptance Rate6,199of26,314submissions,24%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader