Networks: Computation for Human Organizations
Pentland, Tanzeem Choudhury, Nathan Eagle, Push Singh
Room E15-387, MIT Media Laboratory, 20 Ames St, Cambridge MA 02139
We propose that active pattern analysis of face-to-face
interactions within the workplace can radically improve the functioning of the
organization. There are several different types of information inherent in such
interactions: interaction features, participants, context, and content. By
aggregating this information, highpotential collaborations and expertise within
the organization can be identified, and information efficiently distributed.
Examples of using wearable machine perception to characterize face-to-face
interactions and using the results to initiate productive connections are shown,
and privacy concerns are addressed.