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Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
Choice of saccade endpoint under risk
John F Ackermann1, Michael S Landy
1Department of Psychology, New York University, New York, NY, USA.
Journal of Vision
|September 12, 2013
Summary
Human eye movements for target detection are influenced by reward. While both humans and ideal observers favor high-reward locations, humans make more saccades to suboptimal areas, impacting detection accuracy.
Area of Science:
- Visual perception
- Decision-making under uncertainty
- Oculomotor control
Background:
- Eye movements, specifically saccades, are crucial for visual information acquisition by directing gaze to high-resolution retinal areas.
- Prior research indicates observers optimize fixation points for information gain and reduced uncertainty.
- The role of explicit rewards in guiding saccade endpoint selection remains an area for investigation.
Purpose of the Study:
- To investigate whether human observers select saccade endpoints that maximize reward gain in a detection task with explicit, location-dependent rewards.
- To compare human saccade endpoint selection strategies against an ideal observer model maximizing expected gain.
Main Methods:
- An 8-alternative forced-choice detection task was employed using a contrast-defined target in noise.
- Participants performed a single saccade to indicate target location, with varying reward magnitudes associated with each potential location.
- Human saccade endpoints were compared to those of an ideal observer using a visibility map (d') derived from detection performance across retinal locations.
Main Results:
- The spatial distribution of human saccade endpoints was significantly influenced by the location of the highest reward.
- Both human and ideal observers demonstrated a tendency to saccade towards high-reward and actual target locations.
- Human observers exhibited a greater number of saccades to locations distant from the highest reward and target, diverging from the ideal observer's strategy.
Conclusions:
- Explicit rewards significantly modulate saccade endpoint selection in visual search tasks.
- Human saccade strategies can be suboptimal compared to an ideal observer, with a tendency to deviate towards less optimal locations.
- Suboptimal saccade endpoint choice and information integration may impair target detection and reward maximization.
