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Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features
Zhou, Xiaoyan1,2; Fu, Qiufang1,2; Rose, Michael3; Sun, Yuqi1,2
Corresponding AuthorFu, Qiufang(fuqf@psych.ac.cn)
2019-02-07
Source PublicationFRONTIERS IN PSYCHOLOGY
ISSN1664-1078
Volume10Pages:12
AbstractAlthough many researches have shown that edge-based information is more important than surface-based information in object recognition, it remains unclear whether edge-based features play a more crucial role than surface-based features in category learning. To address this issue, a modified prototype distortion task was adopted in the present study, in which each category was defined by a rule or a similarity about either the edge-based features (i.e., contours or shapes) or the corresponding surface-based features (i.e., color and textures). The results of Experiments 1 and 2 showed that when the category was defined by a rule, the performance was significantly better in the edge-based condition than in the surface-based condition in the testing phase, and increasing the defined dimensions enhanced rather than reduced performance in the edge-based condition but not in the surface-based condition. The results of Experiment 3 showed that when each category was defined by a similarity, there was also a larger learning effect when the category was defined by edge-based dimensions than by surface-based dimensions in the testing phase. The current study is the first to provide convergent evidence that the edge-based information matters more than surface-based information in incidental category learning.
Keywordcategory learning incidental category learning the prototype distortion task edge-based features surface-based features
DOI10.3389/fpsyg.2019.00183
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China ; German Research Foundation
Funding ProjectNational Natural Science Foundation of China[61632004] ; German Research Foundation[NSFC 61621136008/DFG TRR-169]
WOS Research AreaPsychology
WOS SubjectPsychology, Multidisciplinary
WOS IDWOS:000458111400001
PublisherFRONTIERS MEDIA SA
WOS KeywordOBJECT RECOGNITION ; PROTOTYPE MODELS ; MEMORY ; COLOR ; INFORMATION ; SYSTEMS ; SHAPE ; CATEGORIZATION ; EXEMPLAR ; EXPLICIT
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/28350
Collection脑与认知科学国家重点实验室
Corresponding AuthorFu, Qiufang
Affiliation1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Univ Med Ctr Hamburg Eppendorf, Dept Syst Neurosci, NeuroImage Nord, Hamburg, Germany
Recommended Citation
GB/T 7714
Zhou, Xiaoyan,Fu, Qiufang,Rose, Michael,et al. Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features[J]. FRONTIERS IN PSYCHOLOGY,2019,10:12.
APA Zhou, Xiaoyan,Fu, Qiufang,Rose, Michael,&Sun, Yuqi.(2019).Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features.FRONTIERS IN PSYCHOLOGY,10,12.
MLA Zhou, Xiaoyan,et al."Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features".FRONTIERS IN PSYCHOLOGY 10(2019):12.
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