Developing a Platform of Personalized Conversation Scenarios for In-home Care Assistance
Sinan Chen, Masahide Nakamura, Sachio Saiki · 2021
The burden on family caregivers for in-home care is increasing in a super-aging society. Realizing conversational agents adapted to individual situations for in-home care assistance is a hard technical issue. The purpose of this paper is to realize a method that can create a personalized conversational agent by the end-user. The challenging points of this paper include two aspects: (1) Editing conversation scenarios easier for end-users. (2) Sharing edited conversation scenarios with others. As the approach, we first present a platform of personalized conversation scenario (PopCS). Then, we create a logs-as-scenarios concept to improve the personalized contents and the edited efficiency. By selectively sharing the conversation logs, we build a connection between the local conversational agent and the remote that seems like telemedicine. Since different family caregivers and healthcare specialists join in it, continuing to improve the conversation scenarios for in-home care assistance is promising.