Your body tells more than words – predicting perceived meeting productivity through body signals
Name
Your body tells more than words predicting perceived meeting productivity through body signals.pdf
Description
Published version
Size
1.05 MB
Format
Adobe PDF
Checksum (MD5)
1bb82c057f53df5c99f9fa0cf210461c
Author(s)
Zeyda, Maximilian
Stracke, Selina
Knipfer, Kristin
Gloor, Peter A
Date Issued
March 3, 2024
Journal
European Journal of Work and Organizational Psychology
Publisher
Taylor & Francis
Citation
Zeyda, M., Stracke, S., Knipfer, K., & Gloor, P. A. (2024). Your body tells more than words – predicting perceived meeting productivity through body signals. European Journal of Work and Organizational Psychology, 33(2), 213–229.
Version
Final published version
Abstract
The productivity of work meetings is mostly assessed through post-hoc questionnaires. These questionnaires are impractical as they require additional time after the meeting has ended. Thus, measuring meeting productivity in a non-intrusive manner is of practical and theoretical importance. Extending research on physiological arousal and the healthy physiological variability thesis to the context of work meetings, we take a novel approach and investigate whether physiological arousal and the variability in implicit body signals of meeting participants (heart rate, arm movements, and speech intensity) can be accurate predictors of perceived meeting productivity. In a preliminary field study, we used smartwatches and tracked the body signals of 16 team members in 26 team meetings. The perceived meeting productivity was assessed at the end of the meetings. Partly supporting our assumptions, multilevel analysis showed that the variance in arm acceleration was a significant predictor of perceived meeting productivity. Further, using a random forest classifier, we accurately predicted perceived meeting productivity in roughly 60% of the cases with body signals. This study adds to previous work on meeting effectiveness by tapping into the potential of wearables to provide valid information about perceived meeting productivity. Cultivating our findings, we discuss lessons learned for future research.
MIT Department
Massachusetts Institute of Technology. Center for Collective Intelligence
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/1359432X.2022.2162881
