M. Sc. Nico Loewe
- Doctoral Researcher
- Group: Intelligent Enterprise Systems
- Office Hours: by appointment only
- Room: 5C-03.2
- Phone: +49 721 608-41583
- nico loewe ∂does-not-exist.kit edu
Karlsruhe Institute of Technology (KIT)
Institute of Information Systems and Marketing (IISM)
Kaiserstraße 89
76133 Karlsruhe
Research Interest:
- Research in Information Systems (IS) and Human Computer Interaction (HCI)
- Flow classification based on physiological signals with supervised machine learning (ML) techniques
- IT-mediated interruptions
- Adaptive Systems & Physiological Computing
Short CV
| Since 11.2018 | Doctoral Researcher at Institute of Information Systems and Marketing (IISM) within the Research Group Information Systems I at the Karlsruhe Institute of Technology (KIT) |
| 04.2018 | Business Information Systems at University of Applied Sciences Friedberg (THM); Thesistopic: "Detecting Flow using Wearables and Machine Learning" |
| 04.2018-07.2018 | Lehrauftrag für Wirtschaftsinformatik, Bachelor Betriebswirtschaftslehre, THM StudiumPlus, Wetzlar |
| 10.2016-10.2018 | Working Student, Innovation Center Network: Research an Innovation, SAP SE , Walldorf |
| 06.2016 | B. Sc. Business Information Systems at University of Applied Sciences Friedberg (THM); Thesistopic: "Monetäre Bewertung von Verkehrsszenarien im Kontext von Smart City" |
Teaching (Lectures, Thesis Projects, etc.)
Lectures
- Summer 2021: Foundations of Interactive Systems (Course)
- Summer 2021: Interactive Analytics Seminar (Course / Topic)
- Summer 2020: Foundations of Interactive Systems (Course)
- Summer 2020: Interactive Analytics Seminar (Seminar)
- Summer 2019: Foundations of Interactive Systems (Course)
- Summer 2019: Interactive Analytics Seminar (Seminar)
Projects
- KD²Ex: Experimental Research for Wellbeing, Work, and Education at Home (ongoing)
- WorkLifeSens (finished)
- Kern - Kompetenzen entwickeln und richtig nutzen (finished)
Publications
Conference Papers
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
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
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
Loewe, N.; Nadj, M.
2020. ECIS 2020 Proceedings - Twenty-Eighth European Conference on Information Systems, Marrakesh, Marokko, June 15 - 17, 2020, 19 S
Journal Articles
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
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