偶然的识别揭示了由分类相似性塑造的注意力权衡
Mark Lavelle1, Roy Luria2, Trafton Drew3
1Department of Psychology, University of New Mexico.
概括
搜索许多无关的项目显著损害视觉搜索效率,导致更好的分心的识别. 相关物品可以提高注意力分散的避免,但会减缓目标识别.
科学领域:
- 认知心理学 认知心理学
- 视觉感知 视觉感知 视觉感知
- 人类的注意力人类的注意力
背景情况:
- 搜索效率在多个目标或模糊定义的目标下降.
- 这些条件阻碍了狭窄的目标模板的形成,可能会改善分心器的识别.
研究的目的:
- 调查目标品种和数量如何相互作用以影响视觉搜索效率.
- 确定是否在搜索许多无关的目标时丢失了特征优先级.
- 检查目标干扰器相似性在搜索性能中的作用.
主要方法:
- 进行了混合视觉和记忆搜索实验.
- 实验1操纵了目标品种和数量.
- 实验2操纵了目标与干扰器的相似性.
主要成果:
- 许多不相关的目标比相关的目标更严重地损害了搜索效率.
- 搜索效率下降与延迟分心器识别的增加相关.
- 由于分心器变得不那么像目标,而更像彼此,分心器的识别能力下降.
- 相关目标改善了随机分散注意力的避免,但减缓了类别内分散注意力的识别.
结论:
- 目标品种和数量相互作用,影响搜索效率和分心处理.
- 不相关目标的模板似乎在某个注意力阶段优先考虑相关特征.
- 分类干扰可能解释了与相关目标的处理困难.
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