The popularization of video-viewing systems enables both adults and children to endlessly watch countless video clips. But such long-time video viewing might cause health problems especially for children, but rule-making tendencies are weaker among video-viewing systems than for watching television. Children have difficulty voluntarily curbing their watching of rich video clips because they are so attractive. In this study, we propose a video recommendation system that arranges video clips based on pre-defined times to support parental-mandated video-viewing stops. Our proposed system enables parents to limit the video-viewing time in advance and provides video clips that are arranged to finish exactly at pre-defined times. In this paper, we targeted adults to confirm the effectiveness of our approach. The results suggest that our proposed system increases post-viewing satisfaction.
CITATION STYLE
Kimoto, M., Nakahata, T., Hirano, T., Nagashio, T., Shiomi, M., Iio, T., … Shimohara, K. (2016). Video recommendation system that arranges video clips based on pre-defined viewing times. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9735, pp. 478–486). Springer Verlag. https://doi.org/10.1007/978-3-319-40397-7_45
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