2026-09-20T04:40:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/284652022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen S. Intille.
Hyman, Jacob A. (Jacob Andrew), 1980-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-09-26T20:36:41Z
2005-09-26T20:36:41Z
2003
2003
http://hdl.handle.net/1721.1/28465
57125601
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 121-125).
In this work a system that automates the process of people counting to determine what effects "just-in-time" messages have on motivating behavior is described. The system is designed to permit automatic study of the impact of motivational messages on people's stair use. A projector presents a point-of-decision message to passers-by choosing between a set of stairs and an escalator while a computer vision algorithm counts each type of traffic. Preliminary results of the effects of messages displayed in a Boston area subway station are discussed. The system is designed to be easily moved to different locations with minimal change to the setup and algorithm. Results from an initial trail showed a 4.3% increase in stair usage (p < .001), demonstrating both the viability of the measurement technology and the potential of point-of-decision messaging to change behavior.
by Jacob A. Hyman.
M.Eng.
125 p.
5473898 bytes
5489252 bytes
application/pdf
application/pdf
en_US
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.
Computer vision based people tracking for motivating behavior in public spaces
Thesis
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