Criteria and Techniques for the Objective Measurement of Human-Computer Performance

  • Peter Jagodzinski
  • David D. Clarke


The experiments described in this paper compare four prototype versions of a user interface, each of which had a different design of screen dialogue. Test procedures included are the selection and stratification of groups of test subjects, the design of transaction sets, the pre-training and pretesting of subjects, the conduction of test runs, and the post- testing of subjects’ comprehension, attitudes, and perceptions.

The analysis of test results was carried out mainly with univariate statistics and Analysis of Variance (ANOVA). These techniques are relatively simple to apply and revealed some clear distinctions between alternative versions of the interface with degrees of significance. They also showed relationships between effects; some of which supported the original hypothesis that dialogue, task, and job elements are closely interconnected. For example, there was significant positive correlation between perceived ease of use and expectation of improved job prospects.

The conclusions of the research were that techniques of this sort provide a valuable means of interface evaluation. They are, also, for the most part, sufficiently easy to use to be cost-effective and practical for medium and large scale computer systems analysis, design, and implementation projects in which their cost would be a relatively small fraction of the total cost.


Discriminant Function Analysis System Analyst Manual Registration Interface Evaluation Naive User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Plenum Press, New York 1987

Authors and Affiliations

  • Peter Jagodzinski
    • 1
  • David D. Clarke
    • 2
  1. 1.Department of ComputingPlymouth PolytechnicPlymouthUK
  2. 2.Department of Experimental PsychologyUniversity of OxfordOxfordUK

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