| （英） |
In recent years, Japan has been facing a super-aging society, and the number of elderly people living at home (including elderly requiring nursing care, living alone) has been increasing. For each elderly spend a lot of time at home, how to deal with their individual stresses (e.g., deepening loneliness, worries about life, etc.) is a big challenge. Our research group is currently conducting research and development of a system to support watching over elderly people at home. In our previous study, we developed and proposed a YouTube video playback service, and conducted an evaluation experiment with elderly people. However, the search and specification of videos to be viewed by the elderly depends on family members and caregivers, and the videos may differ from the wishes of the elderly themselves. Based on previous research, the purpose of this study is to develop a prototype of a personalized video recommendation and viewing web service to promote stress reduction among the elderly at home. As an approach, we first obtain information on the hobbies and preferences of the elderly at home through a questionnaire survey (e.g., paper-based, Google form, etc.). Next, based on the results of the questionnaire, the service automatically recommends a list of relevant videos (by relevance and number of views) from the YouTube site. By registering the list of recommended videos to the service, the elderly can watch personalized videos at any time. This will enable the elderly to easily watch videos of interest to them, and is expected to help them relieve stress. |