Nico Loewe

M. Sc. Nico Loewe

  • Karlsruhe Institute of Technology (KIT)
    Institute of Information Systems and Marketing (IISM)
    Kaiserstraße 89
    76133 Karlsruhe

     

Research Interest:

  • Research in Information Systems (IS)
  • Flow classification based on physiological signals with supervised machine learning (ML) techniques
  • IT-mediated interruptions
  • Adaptive Systems & Physiological Computing
  • Experimental Research / Behavioral Research / Design-oriented Behavioral Research

Short CV

Since 11.2018 Doctoran Researcher at Institute of Information Systems and Marketing (IISM) at the Institute of Information Systems & Service Design (ISSD) 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 Werksstudentische Tätigkeit, 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)

Thesis Projects

  • Design and Implementation of a Content-Based Intelligent Prioritization Module for Mobile Short Messages
  • Automatic Extraction of User Competencies from Behaviour patterns in Work Byproducts and Results

Seminar Projects

  • Designing a Flow-Dashboard to display physiological- and flow related data to the user (Seminar)

Projects

Publications


Conference Papers
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
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
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