Advanced Computing Systems: Usability of Knowledge-Based Planning Systems Status Report
Rept. from 1 Jul-30 Sep 1993
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
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The objective of this research is to assess the value of different usability methods to designing a system as complex as a programming environment for a knowledge-based architecture that learns. As well as traditional empirical methods observing real users, analytic and heuristic methods to assess the usability of complex computer systems in advance of running prototypes are emerging from human-computer interaction HCI research. We will demonstrate the effectiveness of these observational, analytic and heuristic usability methods with respect to 1 The classes of knowledge-based systems to which they can be applied 2 The types of usability problems they can, and cannot identify 3 The types of suggestions they can generate for the design of improved knowledge- based systems and the relative value of those suggestions for overall usability of the systems 4 The expertise of the evaluators necessary to apply the methods and 5 The effort involved in applying the methods.
- Computer Programming and Software
- Computer Systems