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Serial dependence bias can predict the overall estimation error in visual perception
Qi Sun1,2,3, Xiu-Mei Gong1,4, Lin-Zhe Zhan1,5
1School of Psychology, Zhejiang Normal University, Jinhua, PRC.
Journal of Vision
|November 2, 2023
Summary
Visual estimation errors are linked to serial dependence bias. This bias can predict estimation errors, revealing a connection between past and present visual perception.
Area of Science:
- Visual Perception
- Cognitive Psychology
- Neuroscience
Background:
- Visual feature estimations, while accurate, exhibit systematic errors like the oblique illusion.
- Recent research highlights serial dependence, where current estimations are biased by previous experiences.
- The relationship between overall estimation errors and serial dependence bias remains unexplored.
Purpose of the Study:
- To investigate the correlation between overall estimation errors and serial dependence bias in visual perception.
- To determine if serial dependence bias can predict overall estimation errors across different visual tasks.
Main Methods:
- Three participant groups were recruited to estimate visual features: orientation, motion speed, and point-light-walker direction.
- Data analysis focused on quantifying estimation errors and the extent of serial dependence bias in each task.
Main Results:
- Serial dependence bias accounted for over 20% of the overall estimation errors in all three tested tasks.
- The findings demonstrate a significant predictive relationship between serial dependence bias and overall estimation errors.
Conclusions:
- Serial dependence bias is not independent of overall visual estimation errors.
- This study establishes a link between serial dependence and estimation errors, paving the way for neural basis investigations.
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