ArticleJournal of vision2023
Serial dependence bias can predict the overall estimation error in visual perception.
Article in Journal of vision, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Integration of global configuration and local motion in point-light walker direction estimation.Psychological research · 2026Article
- Effects of local information and egocentric reference frames on estimation of biological motion direction.Psychological research · 2025Article
- The thighs have it: evidence for the importance of lower body regions in female body size judgments.BMC biology · 2025Article
- The across-trial accumulation of cardinal illusion in orientation estimation attenuates the significance of serial dependence.Psychological research · 2025Article
- Estimations of biological motion walking direction are affected by observer and walker genders.BMC psychology · 2024Article
- Effects of global information on the estimation of point-light walker directions.Psychological research · 2024Article
- Estimation bias and serial dependence in speed perception.BMC psychology · 2024Article
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5 authors.
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Abstract
Although visual feature estimations are accurate and precise, overall estimation errors (i.e., the difference between estimates and actual values) tend to show systematic patterns. For example, estimates of orientations are systematically biased away from horizontal and vertical orientations, showing an oblique illusion. Additionally, many recent studies have demonstrated that estimations of current visual features are systematically biased toward previously seen features, showing a serial dependence. However, no study examined whether the overall estimation errors were correlated with the serial dependence bias. To address this question, we enrolled three groups of participants to estimate orientation, motion speed, and point-light-walker direction. The results showed that the serial dependence bias explained over 20% of overall estimation errors in the three tasks, indicating that we could use the serial dependence bias to predict the overall estimation errors. The current study first demonstrated that the serial dependence bias was not independent from the overall estimation errors. This finding could inspire researchers to investigate the neural bases underlying the visual feature estimation and serial dependence.
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