[1O3-OS-15b] [Organized Session] OS-15

[1O3-OS-15b-03] Preliminary Investigation Toward Development System of Childcare Study Support Using AI

Aiming at Estimating Children's Interests

〇Tetsuzi Yamada¹, Ryoma Hida², Masahiro Miyata², Takashi Omori³ (1. Tamagawa University Brain Science Institute, 2. Tamagawa University Graduate School of Engineering, 3. Tamagawa University Faculty of Engineering)

Keywords:AI, Early childhood education and care(ECEC), Interest

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.