DocumentCode :
1483448
Title :
Designing Buildings for Real Occupants: An Agent-Based Approach
Author :
Andrews, Clinton J. ; Yi, Daniel ; Krogmann, Uta ; Senick, Jennifer A. ; Wener, Richard E.
Author_Institution :
Edward J. Bloustein Sch. of Planning & Public Policy, Rutgers Univ., New Brunswick, NJ, USA
Volume :
41
Issue :
6
fYear :
2011
Firstpage :
1077
Lastpage :
1091
Abstract :
Building information modeling is only beginning to incorporate human factors, although buildings are sites where humans and technologies interact with globally significant consequences. Some buildings fail to perform as their designers intended, in part because users do not or cannot properly operate the building, and some occupants behave differently than designers expect. Innovative buildings, e.g., green buildings, are particularly susceptible to usability problems. This paper presents a framework for prospectively measuring the usability of designs before buildings are constructed, while there is still time to improve the design. The framework, which was implemented as an agent-based computer simulation model, tests how well buildings are likely to perform, given realistic occupants. An illustrative model for lighting design shows that this modeling approach has practical efficacy, demonstrating that, to the extent that users exhibit heterogeneous behaviors and preferences, designs that allow greater local control and ease of operation perform better.
Keywords :
CAD; construction industry; digital simulation; software agents; structural engineering computing; agent-based computer simulation model; building design; building information modeling; green building; innovative building; lighting design; Buildings; Design automation; Human factors; Simulation; Usability; Buildings; design automation; human factors; simulation; usability;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2011.2116116
Filename :
5740371
Link To Document :
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