User Preference Model for Conscious Services in Smart Environments

awareness of user preferences and analysis of the current situation makes capable to provide user with invasive services in various applications of smart environments. in smart meeting rooms context-aware systems analyze user behavior based on multimodal sensor data and provide proactive services for meeting support, including active control ptz (pan, tilt and zoom) cameras, microphone arrays, context dependent automatic archiving and web-transmission of meeting data at the interaction. history of interaction sessions between a user and a service is used for knowledge accumulation in order to forecast user behavior during the next visit. the user preference model based on audiovisual data recorded during interaction and statistics of his/her speech activity, requests, movement trajectories and other parameters was implemented for the developed mobile information robot and smart meeting room.