Psychology Commons^™

Human Classifier: Observers Can Deduce Task Solely From Eye Movements, Brett Bahle, Mark Mills, Michael Dodd

Department of Psychology: Faculty Publications

Computer classifiers have been successful at classifying various tasks using eye movement statistics. However, the question of human classification of task from eye movements has rarely been studied. Across two experiments, we examined whether humans could classify task based solely on the eye movements of other individuals. In Experiment 1, human classifiers were shown one of three sets of eye movements: Fixations, which were displayed as blue circles, with larger circles meaning longer fixation durations; Scanpaths, which were displayed as yellow arrows; and Videos, in which a neon green dot moved around the screen. There was an additional Scene manipulation …

Inferring Task Based On Eye Movements: The Living Classifier, Jordan E. Marshall, Mallory Richert, Mark Mills, Michael D. Dodd

UCARE Research Products

Several studies, including Yarbus (1967), have found that various task instructions for viewing images influence visual behavior. This holds true for both experimenter driven and participant driven tasks. Research has also shown that classifier technology is capable of determining the task that was being performed based on the individual’s eye movements. Typically classifier technology is designed to perform tasks humans are known to be cable of performing. However, little research has been done on the human ability, or lack thereof, to determine task based on eye movements.

Purpose: To determine to what extent humans are able to classify task performed …

The Politics Of The Face-In-The-Crowd, Mark S. Mills, Kevin B. Smith, John R. Hibbing, Michael Dodd

Department of Psychology: Faculty Publications

Recent work indicates that the more conservative one is, the faster one is to fixate on negative stimuli, whereas the less conservative one is, the faster one is to fixate on positive stimuli. The present series of experiments used the face-in-the-crowd paradigm to examine whether variability in the efficiency with which positive and negative stimuli are detected underlies such speed differences. Participants searched for a discrepant facial expression (happy or angry) amid a varying number of neutral distractors (Experiments 1 and 4). A combination of response time and eye movement analyses indicated that variability in search efficiency explained speed differences …