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Flow in Knowledge Work: An Initial Evaluation of Flow Psychophysiology Across Three Cognitive Tasks

Bartholomeyczik, Karen ORCID iD icon 1; Knierim, Michael Thomas 1; Nieken, Petra ORCID iD icon 2; Seitz, Julia 1; Stano, Fabio ORCID iD icon 1; Weinhardt, Christof ORCID iD icon 1
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
2 Institut für Unternehmungsführung (IBU), Karlsruher Institut für Technologie (KIT)

Abstract:

To accelerate the development of flow-adaptive IT in NeuroIS research, the present work aims to improve the automatic detection of flow in knowledge work-related situations by observing flow emergence across three controlled tasks. In a pretest, we manipulated the type and difficulty of task and recorded subjective (self-reports) as well as objective (EEG features) measures of flow and mental effort. Results indicate that a novel text typing task resembles the expertise of knowledge workers best which is reflected in elevated flow levels across tasks. Difficulty manipulations based on autonomously chosen task difficulty elicited contrasts in flow and mental effort, which was also reflected in the EEG data by Theta band power modulations. This further highlights the utility of autonomy for stimulating flow. We discuss limitations and improvements for the experiment and how this contributes to further research on flow-adaptive IT.


Originalveröffentlichung
DOI: 10.1007/978-3-031-13064-9_3
Zugehörige Institution(en) am KIT Institut für Unternehmungsführung (IBU)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 978-3-031-13063-2
ISSN: 2195-4968
KITopen-ID: 1000151015
Erschienen in Information Systems and Neuroscience : NeuroIS Retreat 2022. Ed.: F. D. Davis
Veranstaltung NeuroIS Retreat (2022), Wien, Österreich, 14.06.2022 – 16.06.2022
Verlag Springer
Seiten 23-33
Serie Lecture Notes in Information Systems and Organisation ; 58
Vorab online veröffentlicht am 03.12.2022
Schlagwörter Flow, Psychophysiology, Knowledge work, Adaptive systems
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