When users of computer systems are given the opportunity to provide feedback on their preferences or interests in most cases they are presented with a questionnaire to be filled However, this means of interaction requires an additional cognitive step, since the user is required to rationalize feelings and attitudes by answering predetermined questions; as a result, users often skip this part or answer hastily, depriving systems of valuable criticism from the field'. In this paper, we present a system which relates data extracted from the posture and movement of the user's head and eye gaze with states related to interest and engagement. This system is deployed in the context of Human Computer Interaction, where users read documents from a computer screen and provides non-verbal input which, in turn, can be further processed.
|Title of host publication||Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)|
|Number of pages||8|
|Publication status||Published - 2007|