Dialog Design for User Adaptation

It is a common belief that repetitive users can adapt to a spoken dialog system. In this paper we describe a dialog design that allows experienced users to make their interactions with the system more efficient and present experimental evaluation of such adaptation. In our study we focused on the application of dialog systems as a tool for real-time data collection for healthcare. Specifically, we implemented a dialog system, pain monitoring voice diary, for monitoring chronic pain patients and conducted a usability study involving 171 dialog sessions with 24 users. Breakdown of the data according to the level of user experience indicates that experienced users adapt and take advantage of dialog design to make their interaction more efficient