کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6203129 1263358 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Visual categorization of surface qualities of materials by capuchin monkeys and humans
ترجمه فارسی عنوان
طبقه بندی ویژهای از کیفیت سطحی مواد توسط میمون های کاپوچین و انسان ها
کلمات کلیدی
ادراک مواد، بافت، ادراک مقایسهای، میمونهای کاپوچین،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی سیستم های حسی
چکیده انگلیسی


- Capuchin monkeys and humans behaved similarly in visual matching of materials.
- Both species showed short choice reaction time for glossy materials like metal.
- Capuchin monkeys showed an excellent categorization ability for fur.

Visually identifying and categorizing the material composition of objects before actually interacting with them is an important skill for operating smoothly and safely in the world. This ability is assumed to have been shaped by evolution; therefore, non-human animals should share similar categorization abilities. Little is known, however, about how non-human animals do this. We tested whether tufted capuchin monkeys (Cebus apella) were able to visually categorize images that represented nine different materials (metal, ceramic, glass, stone, bark, wood, leather, fabric, and fur), and we compared their performance with that of humans. Capuchins showed excellent categorization abilities for images of fur, which is a familiar material to captive monkeys. Humans showed a tendency to confuse material categories that resembled each other visually and/or semantically. Correlation analyses on reaction time showed that both species made correct choices rapidly in selecting glossy categories like metal and ceramic compared with matte categories like fabric and stone, which contain minute patterns. Overall, our results suggest that monkeys share similar perceptual tendencies with humans in visual categorization of material images to some extent and the potential to categorize materials frequently encountered in their daily lives by visual observation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Vision Research - Volume 115, Part A, October 2015, Pages 71-82
نویسندگان
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