Suppr超能文献

在区分不同特异性水平的物体时的分层注意力。

Hierarchical attention in discriminating objects at different levels of specificity.

作者信息

Large Mary-Ellen, McMullen Patricia A

机构信息

Dalhousie University, Halifax, Nova Scotia, Canada.

出版信息

Percept Psychophys. 2006 Jul;68(5):845-60. doi: 10.3758/bf03193706.

Abstract

An implicit assumption of studies in the attentional literature has been that global and local levels of attention are involved in object recognition. To investigate this assumption, a divided attention task was used in which hierarchical figures were presented to prime the subsequent discrimination of target objects at different levels of category identity (basic and subordinate). Target objects were identified among distractor objects that varied in their degree of visual similarity to the targets. Hierarchical figures were also presented at different sizes and as individual global and local elements in order to investigate whether attention-priming effects on object discrimination were due to grouping/parsing operations or spatial extent. The results showed that local processing primed subordinate object discriminations when the objects were visually similar. Global processing primed basic object discriminations, regardless of the similarity of the distractors, and subordinate object discriminations when the objects were visually dissimilar. It was proposed that global and local processing aids the selection of perceptual attributes of objects that are diagnostic for recognition and that selection is based on two mechanisms: spatial extent and grouping/parsing operations.

摘要

注意力文献研究中一个隐含的假设是,全局和局部注意力水平参与了物体识别。为了探究这一假设,使用了一项分心任务,其中呈现分层图形以启动随后对不同类别身份水平(基本和从属)目标物体的辨别。在与目标物体视觉相似度不同的干扰物体中识别目标物体。还以不同大小以及作为单独的全局和局部元素呈现分层图形,以研究注意力启动对物体辨别的影响是否归因于分组/解析操作或空间范围。结果表明,当物体在视觉上相似时,局部处理启动从属物体辨别。全局处理启动基本物体辨别,无论干扰物的相似度如何,并且当物体在视觉上不相似时启动从属物体辨别。有人提出,全局和局部处理有助于选择对识别具有诊断性的物体感知属性,并且这种选择基于两种机制:空间范围和分组/解析操作。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验