视觉搜索中的动态空间规律的不对称学习:对可预测的目标位置进行强有力的促进,对分散注意力的位置进行脆弱的抑制
Hao Yu1, Fredrik Allenmark1, Hermann J Müller1
1General and Experimental Psychology, Department of Psychology, LMU Munich.
概括
这项研究表明,人们在视觉搜索中学习可预测的目标位置,从而提高性能. 然而,学会动态地抑制可预测的分心因素要困难得多,而且不太可能发生.
科学领域:
- 认知心理学 认知心理学
- 视觉注意力 视觉注意力
- 统计学学习 统计学学习
背景情况:
- 人类可以在视觉搜索显示器中学习静态模式,以引导注意力.
- 有争议的是,动态的,试验对试验的规律性是否也可以被学习来优化搜索.
- 以前的研究表明,动态规律可能会影响分心器处理.
研究的目的:
- 调查统计学学习是否延伸到试验中目标和干扰器放置的动态规律.
- 确定参与者是否能学会预测和利用动态规律来引导注意力.
- 探索工作记忆和意识在学习动态规律中的作用.
主要方法:
- 两个实验将动态的一步时针/反时针转移规律应用于目标或分散注意力的目标.
- 参与者在这些可预测条件下执行视觉搜索任务.
- 任务后评估了对动态规律性的认识.
主要成果:
- 发现了可预测的目标位置的强有力的学习,从而促进了目标处理.
- 观察到很少有关于主动抑制可预测的干扰器位置的证据.
- 目标位置的便利性与明确的意识相关,与分心位置不同.
结论:
- 目标位置的动态规律被学习和利用,这可能是由于工作记忆中的明确编码.
- 难以学习分散器位置的动态规律性,这表明主动抑制有限.
- 任务相关性和显式工作记忆编码解释了学习动态规律的不对称性.
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