Developing Quantitative Guidelines Using Integrated Data from Sequential Experiments

Author:

Williges Robert C.1,Williges Beverly H.1,Han Sung H.1

Affiliation:

1. Virginia Polytechnic Institute and State University, Blacksburg, Virginia

Abstract

The results of four experiments were integrated using empirical models and data bridging. These models can be used in the design of telephone-based information systems as quantitative guidelines. Ten independent variables including environmental, hardware, dialogue, and user factors were considered in four related studies. Three dependent variables (total search time, user-added keypresses, and message transcription accuracy) were evaluated in each separate study. Multiple linear regression was used to generate an integrated second-order empirical model for each of the three dependent variables. Overall, the use of integrated empirical models offers several advantages. First, both qualitative and quantitative design guidelines can be generated. Second, a broad base for generalization across several studies is provided. Third, interface design trade-offs are possible.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Reference15 articles.

1. Beaudet, D. B., and Williges, R. C. (1988). The role of screening studies in sequential research designs. In Proceedings of the Human Factors Society 32nd Annual Meeting (pp. 1174–1178). Santa Monica, CA: Human Factors Society.

2. Han, S. H. (1991a). Data bridging: Statistical methods for integrating results across studies. In Proceedings of the Human Factors Society 35th Annual Meeting (pp. 1265–1269). Santa Monica, CA: Human Factors Society.

3. Han, S. H., Williges, R. C., and Williges, B. H. (1990). Empirical models based on data from several experiments. In Proceedings of the Human Factors Society 34th Annual Meeting (pp. 1224–1228). Santa Monica, CA: Human Factors Society.

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