• DocumentCode
    1234015
  • Title

    New graphics as computerized displays for human information processing

  • Author

    Sobol, Marion G. ; Klein, Gary

  • Author_Institution
    E.L. Cox Sch. of Bus., Southern Methodist Univ., Dallas, TX, USA
  • Volume
    19
  • Issue
    4
  • fYear
    1989
  • Firstpage
    893
  • Lastpage
    898
  • Abstract
    A comparative study of various graphic and tabular representations of financial and accounting statistics in an interactive decision setting is presented. Controls are placed on demographic variables, cognitive style, abilities, and math and computer anxiety. Bar graphics are found to be a faster but more accurate form of man-machine communication that tabular presentation of information in credit rating and industry classification decisions. Star graphics take more time on the part of the user but improve the ability to make decisions which involve ranking alternatives. Persons whose cognitive style is more directed toward thinking than feeling have significantly better success in utilizing new graphic forms. It is argues that all new graphics should be tested for speed and efficacy for different types of information display and for people with different cognitive styles and computer backgrounds before they are incorporated into outputs for computerised decision-support systems
  • Keywords
    decision support systems; financial data processing; user interfaces; DSS; bar graphics; cognitive style; computerised decision-support systems; computerized displays; financial statistics; graphic representation; human information processing; interactive decision setting; man-machine communication; star graphics; tabular representations; user interfaces; Cathode ray tubes; Computer displays; Computer graphics; Demography; Environmental management; Humans; Information processing; Man machine systems; Management information systems; System testing;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.35357
  • Filename
    35357