Sensible organizations: Technology and methodology for automatically measuring organizational behavior
Name
Olguin-2009-Sensible Organizations Technology and Methodology for Automatically Measuring Organizational Behavior.pdf
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617.31 KB
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Author(s)
Olguin Olguin, Daniel
Waber, Benjamin Nathan
Kim, Taemie Jung
Mohan, Akshay
Ara, Koji
Pentland, Alex Paul
Date Issued
December 2008
Journal
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics
Publisher
Institute of Electrical and Electronics Engineers
Citation
Mohan, A., K. Ara, and A. Pentland, with Olguin, D.O., and B.N. Waber, Taemie Kim. “Sensible Organizations: Technology and Methodology for Automatically Measuring Organizational Behavior.” Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions On 39.1 (2009) : 43-55. © 2008 IEEE
Version
Final published version
Abstract
We present the design, implementation, and deployment of a wearable computing platform for measuring and analyzing human behavior in organizational settings. We propose the use of wearable electronic badges capable of automatically measuring the amount of face-to-face interaction, conversational time, physical proximity to other people, and physical activity levels in order to capture individual and collective patterns of behavior. Our goal is to be able to understand how patterns of behavior shape individuals and organizations. By using on-body sensors in large groups of people for extended periods of time in naturalistic settings, we have been able to identify, measure, and quantify social interactions, group behavior, and organizational dynamics. We deployed this wearable computing platform in a group of 22 employees working in a real organization over a period of one month. Using these automatic measurements, we were able to predict employees' self-assessments of job satisfaction and their own perceptions of group interaction quality by combining data collected with our platform and e-mail communication data. In particular, the total amount of communication was predictive of both of these assessments, and betweenness in the social network exhibited a high negative correlation with group interaction satisfaction. We also found that physical proximity and e-mail exchange had a negative correlation of r = -0.55 (p 0.01), which has far-reaching implications for past and future research on social networks.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Massachusetts Institute of Technology. Human Dynamics Group
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/TSMCB.2008.2006638
