2026-09-19T04:44:09Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/421242022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Edwin J. Selker.
Wetzel, Jon William
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-09-03T14:39:39Z
2008-09-03T14:39:39Z
2007
2007
http://hdl.handle.net/1721.1/42124
227037956
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 61-63).
This 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.
by Jon William Wetzel.
M.Eng.
63 p.
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Face Interface : a methodology for experimental learning of input modalities
User defined face based computer interface
Thesis
application/pdf
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Publication
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