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2019 | OriginalPaper | Chapter

Show Me Your Moves: Analyzing Body Signals to Predict Creativity of Knowledge Workers

Authors : Marius Stein, Peter A. Gloor, Daniel Oster

Published in: Collaborative Innovation Networks

Publisher: Springer International Publishing

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Abstract

We propose a novel approach to measuring the collaboration of knowledge workers, using body sensing smartwatches to capture psychometric data about individuals in a team. In a proof of concept study, we collected 2653 samples of body signals by equipping 15 people with our body sensing smartwatch over the course of 3 days during a design workshop. Additionally, we polled the users about their self-perceived team creativity at the end of each day. By employing multiple linear regression models, we found that body signals tracked by the smartwatch correlate significantly with the perceived team creativity reported by the individuals. Comparing those correlations with known predictors of creativity such as mood states and personality traits, we found that movement-related body signals predict creativity on the same accuracy level as mood states and personality traits do.

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Footnotes
1
The Happimeter smartphone and watch code is open source and free for academic use. More information can be found at https://​happimeter.​org
 
2
Unfortunately, the pebble 2 smartwatch has been discontinued and is not produced anymore. The Happimeter was migrated to a generic Android platform. More information can be found at https://​happimeter.​org
 
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Metadata
Title
Show Me Your Moves: Analyzing Body Signals to Predict Creativity of Knowledge Workers
Authors
Marius Stein
Peter A. Gloor
Daniel Oster
Copyright Year
2019
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-030-17238-1_11