拥挤效应的特征加工机制

心理科学进展 ›› 2011, Vol. 19 ›› Issue (6): 814-824.

拥挤效应的特征加工机制

彭春花;张明

(¹东北师范大学心理学系, 长春 130024) (²天津师范大学心理与行为研究院, 天津 300074)

收稿日期:2010-11-02 修回日期:1900-01-01 出版日期:2011-06-15 发布日期:2011-06-15
通讯作者: 张明

The Feature-Based Processing Mechanism of Crowding Effect

PENG Chun-Hua;ZHANG Ming

(¹Department of Psychology, Northeast Normal University, Changchun, 130024, China)
(²Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300074, China)

Received:2010-11-02 Revised:1900-01-01 Online:2011-06-15 Published:2011-06-15
Contact: ZHANG Ming

摘要/Abstract

摘要： 拥挤效应指对外周视野内目标刺激的识别受到该刺激周围无关刺激干扰的现象。大部分研究者认为拥挤效应发生在特征加工水平, 是由刺激特征间的过度整合引起的, 并基于此提出多种理论假设, 包括特征整合、重心解释、强制平均以及相应的量化模型, 但这些模型还缺乏直接的支持性证据。未来的研究应该结合ERP技术, 采用多种刺激(如运动刺激等等), 考察时间和空间维度上的拥挤效应的产生机制。

关键词: 拥挤效应, 错误整合模型, 重心模型, 强制平均模型

Abstract: Crowding is defined as the deleterious influence of nearby stimulus on visual discrimination. Most researchers suggested that crowding occurred at the level of feature processing, and was caused by the erroneous combination of signals from the targets and the flankers. Many feature-based processing mechanisms have been proposed to account for the crowding effect, involving feature integration, centroid account, compulsory averaging and some quantitative models. However, there was no strong empirical evidence for these mechanisms. Future research should combine the ERP technology and use a variety of stimulus (e.g. moving stimulus, etc) to investigate the mechanisms of spatial and temporal crowding.

Key words: crowding effect, feature integration model, centroid model, compulsory averaging model

彭春花;张明. (2011). 拥挤效应的特征加工机制. 心理科学进展 , 19(6), 814-824.

PENG Chun-Hua;ZHANG Ming. (2011). The Feature-Based Processing Mechanism of Crowding Effect. , 19(6), 814-824.