We demonstrated that statistical measures, such as the beta and gamma parameters of a Weibull, fitted to the edge histogram of an image, and the image entropy, are effective predictors of subject reaction times.
Subject reaction times were strongly negatively predictive of PC2, over and above any contribution of chosen value, unchosen value or errors.
To test empathy levels and the subjects' reactions to various melodramas, the researchers turned to several classic short stories, like "The Last Leaf" by O. Henry, that include struggles against adversity and melancholy plot twists.
The subjects' reactions were then analyzed by NeuroFocus, a company with headquarters in Berkeley, Calif., which then rated the results on a scale of 1 to 10, based on factors like memory activation and emotional engagement.
In studying the subjects' reactions to this major change, the authors began to see concordance in three areas.
Fifth, the subjects' reactions to the information, especially disadvantages, could have been affected by the way the information was formatted.
In Fazio's (1995) "sequential priming" task, for example, following exposure to social group labels (e.g., "black", "women", etc)., subjects' reaction times (or "response latencies") to stereotypic words (e.g., "lazy" or "nurturing") are measured.
The categorization task difficulty differentially influenced subjects' reaction times and adaptation on a trial-by-trial basis.
Subjects' reaction times were quantified as the time interval between the start of the word audio file and the subjects' mouse button press.
Decision-limited tasks, such as semantic or perceptual categorization tasks, provide some quantification of the burden of the task by measuring subjects' reaction time for each categorization [19] [21].
