Reward modulates oculomotor competition between differently valued stimuli
Open accessAbstract
The present work explored the effects of reward in the well-known global effect paradigm in which two objects appear simultaneously in close spatial proximity. The experiment consisted of three phases (i) a pre-training phase that served as a baseline, (ii) a reward-training phase to associate differently colored stimuli with high, low and no reward value, and (iii) a post-training phase in which rewards were no longer delivered, to examine whether objects previously associated with higher reward value attracted the eyes more strongly than those associated with low or no reward value. Unlike previous reward studies, the differently valued objects directly competed with each other on the same trial. The results showed that initially eye movements were not biased towards any particular stimulus, while in the reward-training phase, eye movements started to land progressively closer towards stimuli that were associated with a high reward value. Even though rewards were no longer delivered, this bias remained robustly present in the post-training phase. A time course analysis showed that the effect of reward was present for the fastest saccades (around 170 ms) and increased with increasing latency. Although strategic effects for slower saccades cannot be ruled out, we suggest that fast oculomotor responses became habituated and were no longer under strategic attentional control. Together the results imply that reward affects oculomotor competition in favor of stimuli previously associated high reward, when multiple reward associated objects compete for selection.
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Reward affects selection as early as traditional manipulations of physical salience.
“affects selection as early as traditional manipulations of physical salience (e.g., Bucker, Silvis, et al., 2015; Failing et al., 2015).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Bucker, Silvis, et al., 2015
The Results (§3.8; page unavailable) show that reward biased selection even for the fastest saccades, averaging 169 ms. But the paper did not test when traditional physical-salience manipulations affect selection relative to reward; the Discussion (§4; page unavailable) says the reward effect’s temporal profile differed from classic bottom-up effects. The ‘as early as’ comparison is therefore not established by this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredReward-based selection history created during a separate training session influences overt search, with high-reward objects invoking more oculomotor capture.
“Target objects associated with relatively high reward during a training session invoke more oculomotor capture compared to objects previously associated with low reward when presented as a task-irrelevant distractor in a subsequent test session.”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Bucker et al., 2015
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- Authors
- Bucker, B., Silvis, J. D., Donk, M., & Theeuwes, J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Bucker, Berno
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 108
- Pages
- 103-112
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2031102878
- Cited by
- 31
- References
- 45
- Citations by year
- 2024: 3 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 6 · 2019: 4 · 2018: 1 · 2017: 5 · 2016: 7 · 2015: 1
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- ERC (ERC-2012-AdG-323413)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- reward, global impact, saccades, eye movements, stimulus value, attentional control, habituation, saccade latency, visual attention
- MeSH terms
- Adult, Analysis of Variance, Attention, Eye Movements, Female, Humans, Male, Photic Stimulation, Psychomotor Performance, Reaction Time, Reward, Visual Perception, Young Adult
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