Using sociometers to quantify social interaction patterns
Author(s)Onnela, Jukka-Pekka; Schnorf, Sebastian; Lazer, David; Waber, Benjamin Nathan; Pentland, Alex Paul
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Research on human social interactions has traditionally relied on self-reports. Despite their widespread use, self-reported accounts of behaviour are prone to biases and necessarily reduce the range of behaviours, and the number of subjects, that may be studied simultaneously. The development of ever smaller sensors makes it possible to study group-level human behaviour in naturalistic settings outside research laboratories. We used such sensors, sociometers, to examine gender, talkativeness and interaction style in two different contexts. Here, we find that in the collaborative context, women were much more likely to be physically proximate to other women and were also significantly more talkative than men, especially in small groups. In contrast, there were no gender-based differences in the non-collaborative setting. Our results highlight the importance of objective measurement in the study of human behaviour, here enabling us to discern context specific, gender-based differences in interaction style.
DepartmentMassachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Nature Publishing Group
Onnela, Jukka-Pekka, Benjamin N. Waber, Alex Pentland, Sebastian Schnorf, and David Lazer. “Using Sociometers to Quantify Social Interaction Patterns.” Sci. Rep. 4 (July 15, 2014).
Final published version