organizational engineering using sociometric badges benjamin n. waber, daniel olguín olguín,...
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Organizational Engineering using Sociometric Badges
Benjamin N. Waber, Daniel Olguín Olguín, Taemie Kim, Akshay Mohan, Koji Ara, and Alex (Sandy) Pentland
MIT Media Laboratory – Human Dynamics GroupNetSci 2007
Motivation
Quantification of social systems• Surveys
– Subjective– Inaccurate
• Human observation– Subjective– Does not scale
• Electronic communication (E-Mail, IM, etc.)– Incomplete– Representative of face-to-face interaction?
Sociometric Badge
Sociometric Badge (Olguín et al., 2007)– Multiple sensing capabilities– Communication capability– Bluetooth enabled
Experiment
• Deployed the Sociometric Badge for one month in a German bank’s marketing division– 22 employees– Interesting physical layout
• Obtained e-mail records from a concurrent study (Oster, 2007)
• Subjective performance and satisfaction survey administered daily
Results: Total Communication
• Total communication highly negatively correlated with job and interaction satisfaction (r = -0.48, -0.53, p < 0.05)
• Betweeness was negatively correlated with interaction satisfaction (r = -0.49, p < 0.05)
• Inter-status communication was also negatively correlated with interaction satisfaction (r = -0.64, p < 0.005)
• Proximity was highly negatively correlated with e-mail communication (r = -0.55, p < 0.01)
General Findings
• Face-to-face ties had a moderate negative correlation with e-mail ties(r = -0.19, p < 0.05)
• Individual inter-status availability ties and e-mail ties were highly positively correlated when both were present (r = 0.64, p < 0.0001)
Future Work
• Analyze data at finer level of detail to identify mirroring and turn taking behaviors
• Implement a social network optimization framework that operates on this data
• Create individual feedback tools (Kim et al., 2007)
• Perform additional experiments– Data Server Configuration firm– Student group exercises at Harvard (with
Katz and Lazer)
Conclusions
• The Sociometric badge is a powerful and efficient data collection platform
• E-Mail data is not representative of face-to-face interaction
• Total communication is an important predictor of perceived productivity and satisfaction