An evaluation method of computer usability based on human-tocomputer information transmission model

Katsuhiko Ogawa

Research output: Contribution to journalArticle


This paper proposes a new evaluation and prediction method for computer usability. This method is based on our two previously proposed information transmission measures created from a human-to-computer information transmission model. The model has three information transmission levels: the device, software, and task content levels. Two measures, called the device independent information measure (Dl) and the computer independent information measure (el), defined on the software and task content levels respectively, are given as the amount of information transmitted. Two information transmission rates are defined as DIIT and CIIT, where T is the task completion time: the device independent information transmission rate (R DI), and the computer independent information transmission rate (Rci)’ The method utilizes the DI and Rci rates to evaluate relatively the usability of software and device operations on different computer systems. Experiments using three different systems, in this case a graphical information input task, confirm that the method offers an efficient way of determining computer usability.

Original languageEnglish
Pages (from-to)577-590
Number of pages14
Issue number5-6
Publication statusPublished - 1992 Jan 1



  • Computer
  • Evaluation method
  • Information transmission rate
  • Prediction method
  • Usability

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Physical Therapy, Sports Therapy and Rehabilitation

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