New Publication in IEEE Transactions on Affective Computing: To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning

Mon, 07 Dec 2020 09:38:52 +0100
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The focal role of flow in promoting desirable outcomes in companies, such as increased employees’ well-being and performance, led scholars to study flow in the context of work. However, current measurement approaches which assess flow via self-report scales after task execution are limited due to obtrusiveness and a lack of real-time support. Hence, new measurement approaches must be created to overcome these limitations.