Preliminary evidence for a role of the personality trait in visual perceptual learning
其他题名金钱强化下视知觉学习与人格的关系研究
Mingxia Zhang1,2; Jiangbo Tu1; Bo Dong1,4; Chuansheng Chen3; Min Bao1
2017-07
会议名称2017年第二届曲阜视觉科学会议
会议日期2017.7.1
会议地点曲阜
摘要

PURPOSE: Recent research has shown that reinforcement can facilitate visual perceptual learning (VPL), but no study has examined the relations between individual differences in reinforcement sensitivity and VPL. This study tested the hypothesis that when monetary incentive was involved, the personality traits of harm avoidance and reward dependence (HA and RD, two measures of reinforcement sensitivity) would be linked to VPL performance.
MEHTODS: We trained two groups of subjects with a visual motion direction discrimination task for six days. The experimental group (n=40) received monetary incentive feedback, whereas the control group (n=33) received non-monetary feedback.
RESULTS: Results shown the score of HA was negatively correlated with VPL for the experimental group (p = 0.015), but not for the control group (p = .74). Further Fisher r-to-z transformation and assessment shown there was a significant difference between the two correlation coefficients (p=.03). RD was not a significant predictor.
CONCLUSIONS: Our results suggest that VPL is subject to modulation by a combination of factors such as reinforcement (involving motivation) and personality traits.

关键词reinforcement monetary incentive visual perceptual learning harm avoidance reward dependence
学科领域视觉注意、学习与记忆
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/22046
专题心理所主办学术会议_2017年第二届曲阜视觉科学会议_会议摘要
作者单位1.Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences
2.National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University
3.Department of Psychology and Social Behavior, University of California
4.University of Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Mingxia Zhang,Jiangbo Tu,Bo Dong,et al. Preliminary evidence for a role of the personality trait in visual perceptual learning[C],2017.
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