Resumen
Body language and familiar silent signals are as much a part of social experience as the conversation. Building systems to recognize and respond to such moves will propel interface technology to the next horizon. Our face-to-face interactions with other people are governed by a complex set of rules, of which we are mostly unaware. For decades now, social scientists have been unraveling the threads of face-to-face interaction, investigating everything from descriptions of body posture used to indicate interest in starting a conversation, to eye gaze dynamics used to convey liking or disliking, to the myriad ways that language can convey attitude, social status, relationship status and affective state. Even though we are not always aware of them, these rules underpin how we make sense of and navigate in our social world. These rules may seem uninteresting and irrelevant to many computer scientists, but to the extend that a given interaction rule is universally followed within a user population, it can be profitably incorporated into a human-machine interface in order to make the interface more natural and intuitive to use. INSET: Atomatic Generation of Nonverbal Behavior in BEAT.