Abstract
We proposed a child-like filter to promote conversation and a storytelling system that asks users to read books aloud to a robot whose behavior is converted by the filter. In this study, we conducted two subjective experiments to verify the effect of the filter; one experiment was to verify whether the robot displays the behavior of a child when the child-like filter is applied, and the other was to verify an increase in the number of times of speaking when they read a book aloud to the robot with the filter. Our results suggest that when the age of the robot with the filter was younger than the one without, a higher number of times of speaking was demonstrated for the robot with the filter.
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This research was supported by Program for Leading Graduate Schools, Ministry of Education, Culture, Sports, Science and Technology.
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Shigaki, S., Shimaya, J., Sakai, K., Shibai, A., Minamikawa, M., Nakamura, Y. (2019). Developing a Behavior Converter to Make a Robot Child-Like for Enhancing Human Utterances. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-23528-4_18
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DOI: https://doi.org/10.1007/978-3-030-23528-4_18
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