Can the Relational Account predict search in multiple-element displays?

关系帐户可以预测多元素显示中的搜索吗？

• 批准号: DP240102774
• 负责人: A/Prof Stefanie Becker
• 金额: $ 24.13万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-03-01 至 2028-02-28
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240102774
• 关键词: Relational; Account; predict; search; multiple

This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly due to a re-shaping and narrowing of the target template. These are both ground-breaking discoveries that have not been described before. Work on this project promises to lead to important theoretical breakthroughs, resolve current discrepancies in the literature and advance methods of Cognitive Psychology and Neuroscience.

该项目提供了一种引导视觉关注的新型机制的证据。我们的结果证实了一种机制的存在，该机制可以快速自动评估视觉场景中的主要特征，并从根本上改变了将注意力调整为目标对象的方式。此外，当观察者通过视觉搜索中的不同项目进行搜索，可能是由于目标模板的重新成型和缩小，因此这种注意力引导的目标模板可以系统地变化。这些都是以前没有描述的开创性发现。该项目的工作有望导致重要的理论突破，解决文献中的当前差异和认知心理学和神经科学的进步方法。