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dc.contributor.advisorEdwin J. Selker.en_US
dc.contributor.authorWetzel, Jon Williamen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2008-09-03T14:39:39Z
dc.date.available2008-09-03T14:39:39Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/42124
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 61-63).en_US
dc.description.abstractThis thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based interfaces. From experiences with the Attentive Interaction Design Toolkit, "Attention Meter," a methodology for helping the user design their own interactions with an unfamiliar input modality is created. This methodology is then applied to face-based interfaces, through a program called "Face Interface." The subsequent evaluations of Face Interface through its revisions show that it is ready to successfully apply the methodology through further experimentation.en_US
dc.description.statementofresponsibilityby Jon William Wetzel.en_US
dc.format.extent63 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleFace Interface : a methodology for experimental learning of input modalitiesen_US
dc.title.alternativeUser defined face based computer interfaceen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc227037956en_US


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