2026-09-19T17:22:53Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/344612022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Larry Rudolph.
Leung, Christopher K
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-11-07T12:22:23Z
2006-11-07T12:22:23Z
2005
2005
http://hdl.handle.net/1721.1/34461
70716289
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 87-94).
Touchscreen kiosks are becoming an increasingly popular means of providing a wide arrange of services to the public. However, the principal drawback of these types of systems lies within the elevated error rates due to finger imprecision and screen miscalibration. These issues become worrisome, considering the greater responsibilities and reliance placed upon touchscreens. This thesis investigates two novel techniques that attempt to alleviate these interaction problems. The first technique, predictive pointing, incorporates information regarding past interactions and an area cursor (which maps the user's touch to a circular area rather than a single point) to provide a better estimate of the intended selection. The second technique, gestural drawing, allows users to draw particular shapes onscreen to execute actions as an alternative means of input that is largely unaffected by issues of miscalibration. Results from a user study indicated that both techniques provided significant advantages in not only lowering error rates, but also improving task completion times over traditional tasks of target selection.
by Christopher K. Leung.
M.Eng.
94 p.
4276946 bytes
4280851 bytes
application/pdf
application/pdf
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.
Handling ambiguous user input on touchscreen kiosks
Thesis
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