"To Be or Not to Be in Flow at Work: Physiological Classification of Flow ..."

Raphael Rissler et al. (2023)

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DOI: 10.1109/TAFFC.2020.3045269

access: closed

type: Journal Article

metadata version: 2023-03-11

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  - https://dblp.org/rec/journals/taffco/RisslerNLLKM23
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche:
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. IEEE Trans. Affect. Comput. 14(1): 463-474 (2023)

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