Structural analysis of verbal data

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Abstract

Current methods of analyzing verbal reports (Protocol Analysis) from human-computer interactions fall short of their potential. Although there are systematic methods for collecting complete and objective verbal reports applicable to a broad range of problem-solving tasks, currently available analyses of verbal reports are ad hoc and apply only to well constrained tasks. Structural Analysis is a systematic method, currently under development, for analyzing real-world tasks involving human-computer interaction. Starting with a rule that assigns utterances to two dichotomous categories related to a behavior of interest, rules are generated that expose the goal building and evaluation underlying that behavior. The resulting data yield time distributions that characterize subjects' goal-directed behavior and that allow comparisons among tasks or among subjects.

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Bailey, W. A., & Kay, E. J. (1987). Structural analysis of verbal data. In Conference on Human Factors in Computing Systems - Proceedings (pp. 297–301). Association for Computing Machinery. https://doi.org/10.1145/29933.275646

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