Wearable Tools for Affective Remote Collaboration

dc.contributor.authorGUPTA, KUNAL
dc.date.accessioned2015-11-23T20:22:01Z
dc.date.available2015-11-23T20:22:01Z
dc.date.issued2015en
dc.description.abstractAffective computing is the study and development of systems that can recognize human emotions and feelings. Emotions are always an interesting topic of research and these days researchers are trying to develop systems which can recognize, interpret and process emotions based on human physiological and neural changes for the development of well-being. As the market for wearable devices is expanding, it provides more opportunity of research in emotion sharing with remote person. This Master’s thesis investigates the possibility of using wearable devices for affective remote collaboration. Previous research about affective computing, affective communication and remote collaboration using wearable devices is reviewed before starting the design process. Three wearable devices were developed, evaluated and discussed, two for emotion sharing between remote people, and the third for preliminary research to explore if eye gaze information can increase co-presence in remote collaboration. Conclusions and Future work are discussed based on the results from the research evaluation.en
dc.identifier.urihttp://hdl.handle.net/10092/11389
dc.identifier.urihttp://dx.doi.org/10.26021/3011
dc.language.isoen
dc.publisherUniversity of Canterbury. Human Interface Technology Lab, NZen
dc.relation.isreferencedbyNZCU
dc.rightsCopyright KUNAL GUPTAen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subjectwearableen
dc.subjectaffectiveen
dc.subjectemotionen
dc.subjectremoteen
dc.subjectcollaborationen
dc.subjecthapticen
dc.subjecteye gazeen
dc.titleWearable Tools for Affective Remote Collaborationen
dc.typeTheses / Dissertations
thesis.degree.disciplineHuman Interface Technologyen
thesis.degree.grantorUniversity of Canterburyen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Human Interface Technologyen
uc.bibnumber2130433
uc.collegeFaculty of Engineeringen
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