Automated metrics for user interface design and evaluation.
Automated metrics will allow user interfaces to be partially evaluated early in the development process. They allow potential problems to be identified and corrected prior to user testing, saving both time and money. As a result, improved interfaces can be developed without additional costs. Both task-independent and task-sensitive automated metrics appear promising. Task-independent metrics should prove most useful for predicting user preferences and somewhat useful for predicting user performance. Task-sensitive metrics should prove useful for predicting both user preferences and performance. Several metrics are introduced and research directions are discussed.
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Computer Science Department, University of Maryland, College Park 20742.
D003199:Computer Systems; D003626:Data Display; D003628:Database Management Systems; D003695:Delivery of Health Care; D006801:Humans; D016490:Integrated Advanced Information Management Systems; D016347:Medical Records Systems, Computerized; D012985:Software Design; D012986:Software Validation; D013647:Task Performance and Analysis; D014584:User-Computer Interface