How category structure influences the perception of object similarity: The atypicality bias

Frontiers in Psychology

Marian Stewart Bartlett¹  Justin eKantner²  James William Tanaka³ 

[1] University of California, San Diego;University of California, Santa Barbara;University of Victoria;

关键词: Categorization;    face perception;    object perception;    morphing;    perceptual similarity;   

DOI  :  10.3389/fpsyg.2012.00147

来源: DOAJ

【 摘 要 】

Why do some faces appear more similar than others? Beyond structural factors, we speculate that similarity is governed by the organization of faces located in a multi-dimensional face space. To test this hypothesis, we morphed a typical face with an atypical face. If similarity judgments are guided purely by their physical properties, the morph should be perceived to be equally similar to its typical parent as its atypical parent. However, contrary to the structural prediction, our results showed that the morph face was perceived to be more similar to the atypical face than the typical face.Our empirical studies show that the atypicality bias is not limited to faces, but extends to other object categories (birds) whose members share common shape properties.We also demonstrate atypicality bias is malleable and can change subject to category learning and experience.The collective empirical evidence indicates that perceptions of face and object similarity are affected by the distribution of stimuli in a face or object space. In this framework, atypical stimuli are located in a sparser region of the space where there is less competition for recognition and therefore, these representations capture a broader range of inputs. In contrast, typical stimuli are located in a denser region of category space where there is increased competition for recognition and hence, these representation draw a more restricted range of face inputs. These results suggest that the perceived likeness of an object is influenced by the organization of surrounding exemplars in the category space.

【 授权许可】

Unknown