Although incremental algorithms are widely used in a variety of decision contexts, they have rarely been extended to models of human work behavior. In an experiment, predictions of intended effort and performance were compared using an incremental (return on effort) version of expectancy theory and the conventional model. Incremental predictions were consistently superior.
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