Building high performing and happy teams using sensor-based social analytics (HIHAT)


We spend more than half our waking hours at work, in one or more teams. Working well together is crucial for both the health of a company as well its people. Even if a company has an amazing product, it could be rendered useless if the personnel cannot work together. Prior research has shown that communication dynamics occurring at multiple levels of team interaction w.r.t. verbal and nonverbal information exchange are one of the most important predictors of a team’s success (Gorman, 2014; Wiltshire et al., 2018). The HIHAT project will investigate how to overcome the limits of observation and make the group dynamics characterizing high-performing and happy teams observable, quantifiable and measurable by sensor-based social analytics (e.g., Kibanov et al. 2019) estimating engagement, exploration and energy within a team. For that, we will apply communication badges, e.g. the Rhythm badges and the Openbeacon sensors for estimating social signals in human interactions, which have shown to be effective for capturing social interactions (Atzmueller, 2014). We will investigate different visualization options for developing informative and insightful visualizations of the data. Then, we connect those insights to team composition (individual assessment) and current state of the team (questionnaire) and see how this affects results (both business results as well as personal well-being). With this, we can define what makes up a productive and happy team and further, based on the team composition, structured programs/feedback can then be created to steer a team towards the desired behavior (Fiore & Wiltshire, 2016).





Dr. M. Atzmüller

Verbonden aan

Tilburg University, Tilburg School of Humanities and Digital Sciences, Department Cognitive Science and Artificial Intelligence


01/01/2020 tot 31/12/2020