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Human Classifier: Observers Can Deduce Task Solely From Eye Movements, Brett Bahle, Mark Mills, Michael Dodd
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 …
The Politics Of The Face-In-The-Crowd, Mark S. Mills, Kevin B. Smith, John R. Hibbing, Michael Dodd
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 …