Automatic and controlled attentional biases in human associative learning

人类联想学习中自动和受控的注意力偏差

• 批准号: DP160103063
• 负责人: Prof Peter Lovibond
• 金额: $ 13.11万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-04-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160103063
• 关键词: Automatic; controlled; attentional; biases; human

This project aims to reveal how automatic and controlled aspects of learned biases of attention develop, interact, and come to determine our behaviour. How much control do we possess over what we attend to in our environment? Sometimes very little: significant features of our environment, such as signals of reward, can automatically capture attention. The project plans to apply a range of measures (eg eye-tracking; electroencephalography) in tasks designed to isolate these component processes of attention. The results may have important implications for current attentional theories of associative learning, and for clinical disorders known to feature attentional deficits.

该项目旨在揭示注意力习得偏差的自动和控制方面如何发展，相互作用，并决定我们的行为。我们对周围环境中的事物有多大的控制力？有时很少：我们环境的重要特征，如奖励信号，可以自动捕获注意力。该项目计划应用一系列的措施（如眼动跟踪;脑电图）的任务，旨在隔离这些组件的注意过程。这些结果可能对目前的注意力理论的联想学习，并为临床疾病的功能注意力缺陷具有重要意义。