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.