Extension of HNS-VAUI for personal adaptation from human-sensed data

Research and development of home network system (called HNS.) is recently a hot topic in the area of ubiquitous computing applications. Orchestrating house-hold appliances (e.g., TVs, DVDs, speakers, air-conditioners, lights, curtains, windows, et al.) via the network, the HNS provides value-added services for home users. In our previous research, we have proposed and developed HNS-VAUI that is the interactive voice user interface using the virtual agent as a HNS user interface. The HNS-VAUI provides a useful interaction in HNS operation for users. However, in some case the proposed system usability declines, because which doesn´t have feature to adopt user´s personalization. Users don´t only have individual home-appliance, but also they have individual favorite interaction via their HNS-VAUI. In this paper, we propose extended HNS-VAUI at the view point of personalization. Concretely speaking, HNS-VAUI can adapt to each user by learning personal preference and behavior rule. In addition to this, we conduct case study to confirm availability.