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Exploring Relationship between Face-to-Face Interaction and Team Performance Using Wearable Sensor Badges

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  • Jun-ichiro Watanabe
  • Nozomu Ishibashi
  • Kazuo Yano

Abstract

Quantitative analyses of human-generated data collected in various fields have uncovered many patterns of complex human behaviors. However, thus far the quantitative evaluation of the relationship between the physical behaviors of employees and their performance has been inadequate. Here, we present findings demonstrating the significant relationship between the physical behaviors of employees and their performance via experiments we conducted in inbound call centers while the employees wore sensor badges. There were two main findings. First, we found that face-to-face interaction among telecommunicators and the frequency of their bodily movements caused by the face-to-face interaction had a significant correlation with the entire call center performance, which we measured as “Calls per Hour.” Second, our trial to activate face-to-face interaction on the basis of data collected by the wearable sensor badges the employees wore significantly increased their performance. These results demonstrate quantitatively that human-human interaction in the physical world plays an important role in team performance.

Suggested Citation

  • Jun-ichiro Watanabe & Nozomu Ishibashi & Kazuo Yano, 2014. "Exploring Relationship between Face-to-Face Interaction and Team Performance Using Wearable Sensor Badges," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0114681
    DOI: 10.1371/journal.pone.0114681
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    References listed on IDEAS

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    1. Ciro Cattuto & Wouter Van den Broeck & Alain Barrat & Vittoria Colizza & Jean-François Pinton & Alessandro Vespignani, 2010. "Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
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