Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
Uncanny Valley Effect is an important to understand how human beings recognize others,and its neurological architecture still remains unclear. Cognitive neuroscience researches have proposed that "prediction error" - contradiction between perceptive (artificial) movement and predictive (biological) movement - should be a key concept to understand the effect. In this paper, we proposed a brain functional model based on device ontology to provide uniformly description for neural basis subserving the prediction error of the uncanny valley effect.