Sociometers are wearable devices that record speech patterns, body movements, user proximities, and face-to-face interactions [1], see Fig. 1. They capture and store frequency and duration of such interactions. Such interaction data can be used to gain a macrolevel perspective of interactions, quantify behaviors of participants, gain insights, and identify areas to intervene prospectively. Although the technology was piloted almost a decade ago, its potential in applied research has only been recently recognized to study gender, collaborative spaces, and personality in domains such as office, finance, and healthcare [2–4]. Typically, sociometers have been used in settings to study interactions between two isolated individuals in less chaotic settings such as in dating and interviews.

The potential of these devices has not been tested in unstructured and more complex environments. Research is needed to compare sociometers data against gold standards to understand...

References

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