| To be or not to be in flow at work: physiological classification of flow using machine learning R Rissler, M Nadj, MX Li, N Loewe, MT Knierim, A Maedche IEEE transactions on affective computing 14 (1), 463-474, 2020 | 19 | 2020 |
| Physio-Adaptive Systems-A State-of-the-Art Review and Future Research Directions. N Loewe, M Nadj 28th European Conference on Information Systems (ECIS), 2020 | 13 | 2020 |
| Predicting in-field flow experiences over two weeks from ECG data: A case study MT Knierim, V Pieper, M Schemmer, N Loewe, P Reali Information Systems and Neuroscience: NeuroIS Retreat 2021, 96-102, 2021 | 2 | 2021 |
| h-lab Intelligent Enterprise Systems-Digital Citizen Science@ KD²Ex: Experimental Research for Wellbeing, Work, and Education at Home J Walbröl Jasper Walbröl, 2022 | | 2022 |
| Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms M Knaeble, M Nadj, A Maedche, N Loewe CHI 2022 Workshop-REGROW: Reimagining Global Crowdsourcing for Better Human …, 2022 | | 2022 |
Mario NadjTU Dortmund UniversityBestätigte E-Mail-Adresse bei tu-dortmund.de
Mario NadjTU Dortmund UniversityBestätigte E-Mail-Adresse bei tu-dortmund.de