Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
In this study, we tried to estimate child's interest as a preliminary investigation towards introduction of AI technology to childcare. The research method focused attention on the child's interest that the childcare professional would estimate in nursery practice.In addition, we conducted annotations by teachers on child's interests by sensing daily childcare scenes.As a result, the interest of 18 children was described. Then, it was suggested that the physical activity state of the child is involved in the estimation of the child's interest. From these results, usefulness of measuring physical activity was recognized for estimating children's interests. We also showed that automatic estimation of child's interest using AI technology could be realized through measurement of physical activity state.
