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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Professor

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

 

 

 

Partners

 

 

 

 

 

 

 

 

Publications


2021
The Economist Historical Advertisements - Objects Dataset.
Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
2021. doi:10.7801/386
The Economist Historical Advertisements - Faces Dataset.
Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
2021. doi:10.7801/384
The Economist Historical Advertisements - Industry Subset ’Banking’.
Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
2021. doi:10.7801/383
The Economist Historical Advertisements – Master Dataset.
Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
2021. doi:10.7801/382
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. Proceedings NeuroIS Retreat 2021. Ed.: F.D. Davis, 107–117, Springer
2020
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)
2019
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
2018
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
2017
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