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Face Interface : a methodology for experimental learning of input modalities

Author(s)
Wetzel, Jon William
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Alternative title
User defined face based computer interface
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Edwin J. Selker.
Terms of use
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
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Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
 
Includes bibliographical references (p. 61-63).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/42124
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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