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A mobile phone GuiDE : a GUI Decoder and Enricher

Author(s)
Yan, Emily Z
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Alternative title
GUI Decoder and Enricher
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Larry Rudolph.
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
Much information can be obtained from knowing what tasks the user does on his or her cell phone. This paper describes GuiDE, an automated user-activity recognition system on the mobile phone. GuiDE's unique approach to activity recognition exploits GUI screenshots taken as the individual interacts with their cell phone. These screenshots are aggregated into a graph to help probabilistically determine whether or not a set of screenshots can be considered a user-level activity. A frequency count of different sets of screenshots is also kept to act as a sanity check against the probabilistic result. GuiDE is just a partial step towards a much more powerful tool that can correlate GUI information with other services to provide a better understanding of user activity.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
 
Includes bibliographical references (p. 53-54).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/42123
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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