Physio-Adaptive Systems


Research Activities


Designing a mobile Flow Dashboard App to support Knowledge Workers in Self-Management

Flow is defined as a “state in which people are so involved in an activity that nothing else seems to matter” (Csikzentmihalyi, 1975). Because of its link to improved individual performance and well-being, flow is particularly desirable in the work context. However, ...



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Designing a Flow-Adaptive Notification System using a Machine Learning Classifier based on Heart Rate Variability

Digital notifications, e.g., from instant messaging applications, can interrupt employees’ flow at work, affecting desirable outcomes such as well-being or task performance. However, ...



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Classification of Flow, Anxiety and Boredom based on Heart Rate Variability using Machine Learning

Flow is deemed a desirable state due to its links to improved individual performance and well-being. However, current methods are obtrusive and cannot measure flow during activity execution. This research responds to the challenge of ...



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Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning -Preliminary Results from a Field Study

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data.



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Alexander Mädche  Prof. Dr. Alexander Mädche


Team Lead

Dr. Mario Nadj  Dr. Mario Nadj


Doctoral Researchers

M. Sc. Nico Loewe  Nico Loewe


Anja Seitz  Julia Seitz












Biosignal-Based Recognition of Cognitive Load: A Systematic Review of Public Datasets and Classifiers
Seitz, J.; Maedche, A.
2022. Information Systems and Neuroscience : NeuroIS Retreat 2022. Ed.: F. D.Davis, Springer
Designing User-Adaptive Video Meeting Systems
Seitz, J.
2022. Proceedings of 20th European Conference on Computer-Supported Cooperative Work, European Society for Socially Embedded Technologies (EUSSET). doi:10.48340/ecscw2022_dc03
Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms
Knaeble, M.; Nadj, M.; Maedche, A.; Loewe, N.
2022. CHI 2022 Workshop - REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration
Predicting In-Field Flow Experiences Over Two Weeks From ECG Data: A Case Study
Knierim, M.; Pieper, V.; Schemmer, M.; Loewe, N.; Reali, P.
2021. Information Systems and Neuroscience: NeuroIS Retreat 2021. Ed.: F. D. Davis, 107–117, Springer. doi:10.1007/978-3-030-88900-5_11
Physio-Adaptive Systems - A State-of-the-Art Review and Future Research Directions
Loewe, N.; Nadj, M.
2020. ECIS 2020 Proceedings - Twenty-Eighth European Conference on Information Systems, Marrakesh, Marokko, June 15 - 17, 2020, 19 S
To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning
Rissler, R.; Nadj, M.; Li, M. X.; Loewe, N.; Knierim, M. T.; Maedche, A.
2020. IEEE transactions on affective computing. doi:10.1109/TAFFC.2020.3045269
Flow in knowledge work groups - Autonomy as a driver or digitally mediated communication as a limiting factor?
Knierim, M. T.; Nadj, M.; Li, M. X.; Weinhardt, C.
2020. 40th International Conference on Information Systems (ICIS 2019), München, 15.-18. Dezember 2019, AIS eLibrary (AISeL)
Flow and optimal difficulty in the portable EEG: On the potentiality of using personalized frequency ranges for state detection
Knierim, M. T.; Nadj, M.; Weinhardt, C.
2019. CHIRA 2018 : proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications, Wien, A, September 20-21, 2019. Ed.: H.P. Silva, 183–190, SciTePress
Exploring Flow Psychophysiology in Knowledge Work
Knierim, M. T.; Rissler, R.; Hariharan, A.; Nadj, M.; Weinhardt, C.
2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 239–249, Springer. doi:10.1007/978-3-030-01087-4_29
BrownieR - The R-Package for Neuro Information Systems Research
Michalczyk, S.; Jung, D.; Nadj, M.; Knierim, M.; Rißler, R.
2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 101–109, Springer. doi:10.1007/978-3-030-01087-4_12
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks
Knierim, M. T.; Nadj, M.; Hariharan, A.; Weinhardt, C.
2018. Proceedings of the 5th International Conference on Physiological Computing Systems (PhyCS 2018), Seville, E, September 19-21, 2018. Ed.: J.M. Belda Lois, 42–53, SciTePress
Got Flow? Using Machine Learning on Physiological Data to Classify Flow
Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A.
2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st - 26th April 2018, Art.Nr. LBW612, Association for Computing Machinery (ACM). doi:10.1145/3170427.3188480
Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien
Rissler, R.; Nadj, M.; Maedche, A.; Koppenhagen, N.
2017. Wirtschaftsinformatik & Management, 9 (6), 12–21. doi:10.1007/s35764-017-0116-0
The psychophysiology of flow: A systematic review of peripheral nervous system features
Knierim, M. T.; Rissler, R.; Dorner, V.; Maedche, A.; Weinhardt, C.
2017. Information Systems and Neuroscience - Gmunden Retreat on NeuroIS 2017. Ed.: F. D. Davis, 109–120, Springer. doi:10.1007/978-3-319-67431-5_13
The impact of IT-mediated interruptions on flow and task performance
Rissler, R.
2017. Doctoral Consortium Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017
Towards an integrative theoretical framework of IT-mediated interruptions
Rissler, R.; Nadj, M.; Adam, M.; Mädche, A.
2017. Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017, 1950–1967, AIS eLibrary (AISeL)
Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions
Rissler, R.; Nadj, M.; Adam, M. T. P.
2017. 13th International Conference on Wirtschaftsinformatik, Wirtschaftsinformatik 2017 (WI-2017), St. Gallen, 12-15 February 2017, 1051–1065