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While not directly applied to surveillance issues, we suggest that the NSEEV (noticing – salience, effort, expectancy, value) model of attention could provide a useful theoretical basis for understanding the challenges faced in detection and monitoring tasks.
Initially, Pintrich and De Groot (1990) started by postulating a five latent factor structure comprising expectancy, value, affect, learning strategies and self-regulation.
One recent model of attention behavior, NSEEV (noticing – salience, effort, expectancy, value; Steelman, McCarley, & Wickens, 2011; Wickens et al., 2009), can provide a useful theoretical basis for the current work on change detection.
The consistency or c parameter determines the sensitivity of the decision maker's choices, determined by the consistency with which the expectancy value (determined by a and w) is applied to each decision.
Parameters within the model determine the expectancy value and variance of rates.
As a result, 240 duplicated genes were identified on the basis of an expectancy value less than 10-50 as proposed by Friedman and Hughes [ 20].
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They also integrated theories of expectation and value construction, such as attribution theory, expectancy-value theory, self-worth theory, and theories integrating motivation and cognition.
The expectancy-value theory of motivation suggests that the expectation of success positively influences the learner's perception of learning importance.
This is in accordance with the expectancy-value theory of motivation (Wigfield & Eccles, 2000), which suggests that the expectation of success and the value that students place on a goal determine the project-related development of self-images.
Expectancy-value constructs and expectancy violation as predictors of exercise adherence in previously sedentary women.
According to expectancy-value theory, expectancies and task values are precursors for investing effort into learning.
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