Sensible organizations: Technology and methodology for automatically measuring organizational behavior
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 tim...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2011
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| Online Access: | http://hdl.handle.net/1721.1/62024 https://orcid.org/0000-0002-0990-5960 https://orcid.org/0000-0002-8053-9983 |
| _version_ | 1826206153702375424 |
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| author | Olguin Olguin, Daniel Waber, Benjamin Nathan Kim, Taemie Jung Mohan, Akshay Ara, Koji Pentland, Alex Paul |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Olguin Olguin, Daniel Waber, Benjamin Nathan Kim, Taemie Jung Mohan, Akshay Ara, Koji Pentland, Alex Paul |
| author_sort | Olguin Olguin, Daniel |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:24:56Z |
| format | Article |
| id | mit-1721.1/62024 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:24:56Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/620242022-10-01T15:06:40Z Sensible organizations: Technology and methodology for automatically measuring organizational behavior Olguin Olguin, Daniel Waber, Benjamin Nathan Kim, Taemie Jung Mohan, Akshay Ara, Koji Pentland, Alex Paul Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Massachusetts Institute of Technology. Human Dynamics Group Pentland, Alex Paul Olguin Olguin, Daniel Waber, Benjamin Nathan Kim, Taemie Jung Mohan, Akshay Pentland, Alex Paul 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. Hitachi, Ltd. Things That Think Consortium Analog Devices, inc. 2011-04-01T21:52:33Z 2011-04-01T21:52:33Z 2008-12 2007-11 Article http://purl.org/eprint/type/JournalArticle 1083-4419 INSPEC Accession Number: 10391589 http://hdl.handle.net/1721.1/62024 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 https://orcid.org/0000-0002-0990-5960 https://orcid.org/0000-0002-8053-9983 en_US http://dx.doi.org/10.1109/TSMCB.2008.2006638 IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Olguin Olguin, Daniel Waber, Benjamin Nathan Kim, Taemie Jung Mohan, Akshay Ara, Koji Pentland, Alex Paul Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title | Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title_full | Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title_fullStr | Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title_full_unstemmed | Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title_short | Sensible organizations: Technology and methodology for automatically measuring organizational behavior |
| title_sort | sensible organizations technology and methodology for automatically measuring organizational behavior |
| url | http://hdl.handle.net/1721.1/62024 https://orcid.org/0000-0002-0990-5960 https://orcid.org/0000-0002-8053-9983 |
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