A Methodology for Selecting and Refining Man-Computer Languages to Improve Users' Performance
Research progress rept.
UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
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This report describes a methodology supported by a software package to model, measure, analyze, and evaluate users performance in a message communication system environment. The theses of the report are 1 that models of users and services can be accurately used as predictors in selecting a language form, for an application, which will result in high users performance, and 2 that such a language form is only an approximation in terms of yielding optimal users performance due to within variances of user and service-classes, hence individual, on-line regulation of language constructs is necessary to further improve performance. This report develops appropriate models and algorithms, and states hypotheses relating the interactive effects of users, services, language forms, and other variables important in man-machine discourse. An experiment design is presented, which tests the major hypotheses.
- Computer Programming and Software
- Non-Radio Communications