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Influence of biased feedback on performance in a Vernier discrimination task
Chenfan Yang1, Ziran Xu1, Yaoyao Zhong1
1Guangdong Business and Technology University, Zhaoqing, China.
Frontiers in Psychology
|January 30, 2023
Summary
Biased feedback, which conflicts with sensory information, impairs performance on visual discrimination tasks. Removing feedback improved accuracy, suggesting that biased feedback hinders learning and decision-making processes.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Psychophysics
Background:
- The impact of feedback on performance is debated, with studies showing inconsistent helpful, harmful, or ineffective results.
- Feedback may create conflict between internal beliefs and external sensory information, potentially explaining varied outcomes.
- Biased feedback, incongruent with a subject's choices, is hypothesized to induce this conflict.
Purpose of the Study:
- To investigate the influence of biased feedback on performance using a Vernier discrimination task.
- To examine how trial-by-trial versus block feedback affects performance and learning.
- To determine if biased feedback impacts signal or noise discrimination differently.
Main Methods:
- A Vernier discrimination task was employed to assess visual perception of offset stimuli.
- Experiment 1: Trial-based feedback, with biased feedback for small/medium offsets.
- Experiment 2: Block-based feedback; Experiment 3: Modified block feedback without large offsets to isolate signal/noise effects.
Main Results:
- Biased feedback, whether trial-based or block-based, decreased accuracy for the target Vernier.
- Performance improved in the absence of feedback, indicating feedback's detrimental effect when biased.
- Large stimulus differences promoted encoding learning over decision learning; low discrimination made noise discrimination more vulnerable to biased feedback.
Conclusions:
- Biased feedback negatively impacts performance in perceptual tasks by creating conflict.
- The absence of feedback can be beneficial when biased feedback is present.
- Biased feedback affects encoding and decision learning, with noise discrimination being particularly susceptible.
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