Choice of saccade endpoint under risk
Open Access
- 25 February 2013
- journal article
- research article
- Published by Association for Research in Vision and Ophthalmology (ARVO) in Journal of Vision
- Vol. 13 (3) , 27
Abstract
Eye movements function to bring detailed information onto the high-resolution region of the retina. Previous research has shown that human observers select fixation points that maximize information acquisition and minimize target location uncertainty. In this study, we ask whether human observers choose the saccade endpoint that maximizes gain when there are explicit rewards associated with correctly detecting the target. Observers performed an 8-alternative forced-choice detection task for a contrast-defined target in noise. After a single saccade, observers indicated the target location. Each potential target location had an associated reward that was known to the observer. In some conditions, the reward at one location was higher than at the other locations. We compared human saccade endpoints to those of an ideal observer that maximizes expected gain given the respective human observer's visibility map, i.e., d′ for target detection as a function of retinal location. Varying the location of the highest reward had a significant effect on human observers' distribution of saccade endpoints. Both human and ideal observers show a high density of saccades made toward the highest rewarded and actual target locations. But humans' overall spatial distributions of saccade endpoints differed significantly from the ideal observer as they made a greater number of saccade to locations far from the highest rewarded and actual target locations. Suboptimal choice of saccade endpoint, possibly in combination with suboptimal integration of information across saccades, had a significant effect on human observers' ability to correctly detect the target and maximize gain.Keywords
This publication has 20 references indexed in Scilit:
- Reward grabs the eye: Oculomotor capture by rewarding stimuliVision Research, 2012
- Intrinsic position uncertainty explains detection and localization performance in peripheral visionJournal of Vision, 2011
- Optimal reward harvesting in complex perceptual environmentsProceedings of the National Academy of Sciences, 2010
- Optimal eye movement strategies in visual searchNature, 2005
- Matching Behavior and the Representation of Value in the Parietal CortexScience, 2004
- Quantifying the Performance Limits of Human Saccadic Targeting during Visual SearchPerception, 2001
- Characterizing visual performance fields: effects of transient covert attention, spatial frequency, eccentricity, task and set sizeSpatial Vision, 2001
- Saccade Target Selection During Visual SearchVision Research, 1997
- Adaptive psychophysical procedures.1995
- ON THE LAW OF EFFECT1Journal of the Experimental Analysis of Behavior, 1970