HEAL DSpace

Non-verbal feedback on user interest based on gaze direction and head pose

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dc.contributor.author Asteriadis, S en
dc.contributor.author Tzouveli, P en
dc.contributor.author Karpouzis, K en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:44:51Z
dc.date.available 2014-03-01T02:44:51Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31982
dc.subject Eye Gaze en
dc.subject Gaze Direction en
dc.subject Human Computer Interaction en
dc.subject Relational Data en
dc.subject.other Cognitive systems en
dc.subject.other Flow interactions en
dc.subject.other Human computer interaction en
dc.subject.other Information theory en
dc.subject.other Semantics en
dc.subject.other Computer screens en
dc.subject.other Eye gaze en
dc.subject.other Gaze direction en
dc.subject.other Head poses en
dc.subject.other Human computer en
dc.subject.other International (CO) en
dc.subject.other Media adaptation en
dc.subject.other Personalization en
dc.subject.other User interests en
dc.subject.other Computer systems en
dc.title Non-verbal feedback on user interest based on gaze direction and head pose en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SMAP.2007.4414406 en
heal.identifier.secondary http://dx.doi.org/10.1109/SMAP.2007.4414406 en
heal.identifier.secondary 4414406 en
heal.publicationDate 2007 en
heal.abstract 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. © 2007 IEEE. en
heal.journalName SMAP07 - Second International Workshop on Semantic Media Adaptation and Personalization en
dc.identifier.doi 10.1109/SMAP.2007.4414406 en
dc.identifier.spage 171 en
dc.identifier.epage 176 en


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