دورية أكاديمية
The Role of Attention in Category Representation
العنوان: | The Role of Attention in Category Representation |
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اللغة: | English |
المؤلفون: | Mengcun Gao (ORCID |
المصدر: | Cognitive Science. 2024 48(4). |
الإتاحة: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
Peer Reviewed: | Y |
Page Count: | 35 |
تاريخ النشر: | 2024 |
Sponsoring Agency: | National Institutes of Health (NIH) (DHHS) National Science Foundation (NSF) |
Contract Number: | R01HD078545 1847603 |
نوع الوثيقة: | Journal Articles Reports - Research |
Descriptors: | Attention, Classification, Memory, Knowledge Representation, Role, Recognition (Psychology) |
DOI: | 10.1111/cogs.13438 |
تدمد: | 0364-0213 1551-6709 |
مستخلص: | Numerous studies have found that selective attention affects category learning. However, previous research did not distinguish between the contribution of focusing and filtering components of selective attention. This study addresses this issue by examining how components of selective attention affect category representation. Participants first learned a rule-plus-similarity category structure, and then were presented with category priming followed by categorization and recognition tests. Additionally, to evaluate the involvement of focusing and filtering, we fit models with different attentional mechanisms to the data. In Experiment 1, participants received rule-based category training, with specific emphasis on a single deterministic feature (D feature). Experiment 2 added a recognition test to examine participants' memory for features. Both experiments indicated that participants categorized items based solely on the D feature, showed greater memory for the D feature, were primed exclusively by the D feature without interference from probabilistic features (P features), and were better fit by models with focusing and at least one type of filtering mechanism. The results indicated that selective attention distorted category representation by highlighting the D feature and attenuating P features. To examine whether the distorted representation was specific to rule-based training, Experiment 3 introduced training, emphasizing all features. Under such training, participants were no longer primed by the D feature, they remembered all features well, and they were better fit by the model assuming only focusing but no filtering process. The results coupled with modeling provide novel evidence that while both focusing and filtering contribute to category representation, filtering can also result in representational distortion. |
Abstractor: | As Provided |
ملاحظات: | https://osf.io/kjs6r |
Entry Date: | 2024 |
رقم الأكسشن: | EJ1424367 |
قاعدة البيانات: | ERIC |
تدمد: | 0364-0213 1551-6709 |
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DOI: | 10.1111/cogs.13438 |