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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.

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Presentation on theme: "Organizational Engineering using Sociometric Badges Benjamin N. Waber, Daniel Olguín Olguín, Taemie Kim, Akshay Mohan, Koji Ara, and Alex (Sandy) Pentland."— Presentation transcript:

1 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 Group NetSci 2007

2 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?

3 Sociometric Badge Sociometric Badge (Olguín et al., 2007) –Multiple sensing capabilities –Communication capability –Bluetooth enabled

4 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

5 Total Communication Ad campaign planning: Face-to-face communication on top, email on bottom

6 Total Communication Ad campaign execution: Face-to-face communication on top, email on bottom

7 Total Communication Full Month Visualization

8 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)

9 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)

10 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)

11 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

12 Thank You! Questions?


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