Origin of the ease of association of color names: Comparison between humans and AI-Reference-Cited by-同舟云学术

Origin of the ease of association of color names: Comparison between humans and AI

Published:2022-09 Issue:5 Volume:13 Page:204166952211318
ISSN:2041-6695
Container-title:i-Perception
language:en
Short-container-title:i-Perception

Author:

Komatsu Hidehiko¹²^ORCID,Maeno Ami³,Watanabe Eiji¹⁴

Affiliation:

1. National Institute for Basic Biology, Okazaki, Aichi, Japan

2. Brain Science Institute, Tamagawa University, Machida, Tokyo, Japan

3. Kyoto Institute of Technology, Kyoto, Japan

4. Graduate University for Advanced Studies (SOKENDAI), Okazaki, Japan

Abstract

Rapid evolution of artificial intelligence (AI) based on deep neural networks has resulted in artificial systems such as generative pre-trained transformer 3 (GPT-3), which can generate human-like language. Such a system may provide a novel platform for studying how human perception is related to knowledge and the ability of language generation. We compared the frequency distribution of basic color terms in the answers of human subjects and GPT-3 when both were asked similar questions regarding color names associated with the letters of the alphabet. We found that GPT-3 generated basic color terms at a frequency very similar to that of human non-synaesthetes. A similar frequency was observed when color names associated with numerals were tested indicating that simple co-occurrence of alphabet and color word in the trained dataset cannot explain the results. We suggest that the proposed experimental framework using the latest AI models has the potential to explore the mechanisms of human perception.

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

SAGE Publications

Subject

Artificial Intelligence,Sensory Systems,Experimental and Cognitive Psychology,Ophthalmology

Link

http://journals.sagepub.com/doi/pdf/10.1177/20416695221131832

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