2026-09-19T00:36:54Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/393062022-01-13T07:54:12Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kent Larson.
Cheung, Kenneth Chun-Wai
Massachusetts Institute of Technology. Dept. of Architecture.
Massachusetts Institute of Technology. Department of Architecture
2007-10-22T17:33:38Z
2007-10-22T17:33:38Z
2007
2007
http://hdl.handle.net/1721.1/39306
173260856
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2007.
Includes bibliographical references (p. 77-81).
Understanding the relationship between workplace environment and behavior is an important concern for designers. We report on a pilot study where ubiquitous computing was used to examine workplace activity quality in a commercially designed workplace environment. Data were collected from twelve adult participants in the same professional workplace, for twenty-one workdays during one month. The data collection system was composed of small wireless infrared motion sensors, a Bluetooth-based positioning system using mobile phones, and a context-sensitive self-report survey administered on the mobile phones. Participants were automatically queried about their work practices and their environment via these mobile phones, every time they changed their locations in the workplace. Questions were also asked during the remainder of the day, albeit less frequently. We describe how software visualization tools were developed to visualize the data collected during the experiment, and we report on some of the attributes of subjects' behaviors that can be observed using the tools. Implications of these results with respect to research methods and enabled design methods are discussed.
by Kenneth Chun-Wai Cheung.
S.M.
82 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
Architecture.
Understanding behavior with ubiquitous computing for architectural design
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e0a52d62-9d20-4d7f-8033-fbf43124215c">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Understanding behavior with ubiquitous computing for architectural design</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2007</PublicationDate>
<Authors>
<Author>
<DisplayName>Cheung, Kenneth Chun-Wai</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Architecture.</Keyword>
<Abstract>Understanding the relationship between workplace environment and behavior is an important concern for designers. We report on a pilot study where ubiquitous computing was used to examine workplace activity quality in a commercially designed workplace environment. Data were collected from twelve adult participants in the same professional workplace, for twenty-one workdays during one month. The data collection system was composed of small wireless infrared motion sensors, a Bluetooth-based positioning system using mobile phones, and a context-sensitive self-report survey administered on the mobile phones. Participants were automatically queried about their work practices and their environment via these mobile phones, every time they changed their locations in the workplace. Questions were also asked during the remainder of the day, albeit less frequently. We describe how software visualization tools were developed to visualize the data collected during the experiment, and we report on some of the attributes of subjects' behaviors that can be observed using the tools. Implications of these results with respect to research methods and enabled design methods are discussed.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>