Michael Knierim

Dr. Michael Knierim

  • Karlsruhe Institute of Technology (KIT)
    Fakultät für Wirtschaftswissenschaften
    Institut für Wirtschaftsinformatik und Marketing
    Kaiserstraße 89, 76133 Karlsruhe

Research Focus

My research focuses on creating knowledge and technologies that improve productivity and well-being in everyday work life. Specifically, I am currently researching the potentials of (1) EEG headphone sensors, and (2) how various sensors can be used to detect and support the so-called flow experience.

 

EEG Headphone Sensors

How cool would it be if your current headphones could actively improve your daily productivity and well-being? This reality might not be that far away! Wearable EEG systems are continuously being developed to monitor brain activity and support IT-users' workload, flow and fatigue in everyday life. To make these research practices more open and the technologies more available to people around the world, we have recently developed a headphone-based EEG system entirely out of 3D-printed and open-source components.

If you are interested, you can contribute to the improvement of this system by identifying a critical performance factor and develop and test an innovative solution for it! Let me know what you have in mind!

Related Literature / Materials:

  • https://github.com/MKnierim/openbci-headphones
  • Röddiger, T., Clarke, C., Breitling, P., Schneegans, T., Zhao, H., Gellersen, H., & Beigl, M. (2022). Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies6(3), 1-57.

 

Flow Experience Detection

Flow ("being in the zone") describes a state of complete concentration in which thoughts come as if by themselves and in which one forgets time and oneself. 

Thanks to new developments in the fields of NeuroIS, affective computing, and brain-computer interfaces, new ways to continuously capture flow states are emerging. However, more research is needed to learn how physiological data from body and mind can capture flow states.

You can participate in this research by using physiological data (e.g., EEG, ECG, or EDA) to predict flow with the latest methods in artificial intelligence (machine learning). What would you suggest to try?

Related Literature / Materials:

 

Looking for...

I am always looking for people to join our team as seminar or thesis students - as junior researcher or as research assistants (HiWi). Please feel free to send me an e-mail to learn more about the possibilities!

 

Teachings

Sommersemester:

  • Vorlesung: Business Data Analytics: Application and Tools
  • Vorlesung: Wirtschaftsinformatik 2
  • Vorlesung: Modeling & Analyzing Consumer Behavior with R
  • Seminar: Positive Information Systems
  • Seminar: Biosignals in Information Systems & Marketing (mit Link: https://im.iism.kit.edu/english/3347_3408.php)

Wintersemester:

  • Vorlesung: Experimentelle Wirtschaftsforschung
  • Vorlesung: Plattformökonomie
  • Seminar: Positive Information Systems

Awards

  •  
  • 2017: Best Products & Prototypes Award, Design Science Research in Information Systems and Technology (DESRIST) 2017

 

Curriculum Vitae

09.2015 - Today Academic assistant - Karlsruhe Institute of Technology (KIT) - Germany
11.2014 - 08.2015 Head coach female youth - Hockey-Federation Rhineland-Palatinate/Saar - Germany
04.2012 - 11.2014 M. Sc. Management - Johannes Gutenberg-University Mainz - Germany
09.2013 - 01.2014 Semester abroad in the M. Sc. Management - Université Montpellier I - France
07.2012 - 08.2013 Working student - juwi Technologies GmbH Wörrstadt - Germany
10.2008 - 04.2012 B. Sc. Business Sciences - Johannes Gutenberg-University Mainz - Germany

Publikation


Book Chapters
2022
Information and Market Engineering at KIT: Quo Vadis?
Dann, D.; Knierim, M. T.; Peukert, C.; Staudt, P.; Straub, T.
2022. Market Engineering. Hrsg.: H. Gimpel, 1–18, Springer. doi:10.1007/978-3-030-66661-3_1
2020
Feeling the Pain of Others in Need: Studying the Effect of VR on Donation Behavior Using EEG
Greif-Winzrieth, A.; Knierim, M.; Peukert, C.; Weinhardt, C.
2020. Information Systems and Neuroscience – NeuroIS Retreat 2020. Ed.: F. Davis, 172–180, Springer International Publishing. doi:10.1007/978-3-030-60073-0_19
PhD Theses
2020
Detecting Flow Experiences in Cognitive Tasks - A Neurophysiological Approach. PhD dissertation
Knierim, M. T.
2020, September 23. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123849
Journal Articles
2024
Hybrid Adaptive Systems
Benke, I.; Knierim, M.; Adam, M.; Beigl, M.; Dorner, V.; Ebner-Priemer, U.; Herrmann, M.; Klarmann, M.; Maedche, A.; Nafziger, J.; Nieken, P.; Pfeiffer, J.; Puppe, C.; Putze, F.; Scheibehenne, B.; Schultz, T.; Weinhardt, C.
2024. Business & Information Systems Engineering. doi:10.1007/s12599-024-00861-y
2023
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions
Nadj, M.; Rissler, R.; Adam, M. T. P.; Knierim, M. T.; Li, M. X.; Maedche, A.; Riedl, R.
2023. MIS quarterly, 47 (4), 1615–1646
2022
2020
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study
Benke, I.; Knierim, M. T.; Maedche, A.
2020. Proceedings of the ACM on human-computer interaction, 4 (CSCW2), Article No.: 118. doi:10.1145/3415189
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, 14 (1), 463–474. doi:10.1109/TAFFC.2020.3045269
2018
Live biofeedback as a user interface design element: A review of the literature
Lux, E.; Dorner, V.; Knierim, M. T.; Adam, M. T. P.; Helming, S.; Weinhardt, C.
2018. Communications of the Association for Information Systems, 43 (1), 257–296. doi:10.17705/1CAIS.04318
Conference Papers
2023
OpenBCI + 3D-Printed Headphones = Open ExG Headphones – An Open-Source Research Platform for Biopotential Earable Applications
Knierim, M. T.; Puhl, D.; Ivucic, G.; Röddiger, T.
2023. CHI EA ’23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Ed.: A. Schmidt, Art.-Nr.: 221, Association for Computing Machinery (ACM). doi:10.1145/3544549.3585875
Time-Aware Data Profiling With Decision Tree Pattern Mining
Grote, A.; Badwitz, W.; Knierim, M. T.; Weinhardt, C.
2023. 2023 IEEE 25th Conference on Business Informatics (CBI), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI58679.2023.10187535
InterFlowCeption: Foundations for Technological Enhancement of Interoception to Foster Flow States during Mental Work: About the potential of technologically supported body awareness to promote flow experiences during mental work
Berger, C.; Knierim, M. T.; Benke, I.; Bartholomeyczik, K.; Weinhardt, C.
2023. CHI EA ’23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 184, ACM Digital Library. doi:10.1145/3544549.3585833
Could we Predict Flow from Ear-EEG?
Knierim, M. T.; Bartholomeyczik, K.; Nieken, P.; Weinhardt, C.
2023. 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ACIIW57231.2022.10086037
2022
Facilitating NeuroIS Research Using Natural Language Processing: Towards Automated Recommendations
Nikolajevic, N.; Knierim, M. T.; Weinhardt, C.
2022. Information Systems and Neuroscience – NeuroIS Retreat 2022. Ed.: F. Davis, 147–154, Springer International Publishing. doi:10.1007/978-3-031-13064-9_15
Flow in Knowledge Work: An Initial Evaluation of Flow Psychophysiology Across Three Cognitive Tasks
Bartholomeyczik, K.; Knierim, M. T.; Nieken, P.; Seitz, J.; Stano, F.
2022. Proceedings NeuroIS Retreat 2022, Wien, A, 14.-16. Juni 2022. Ed.: F. D. Davis, 30–40, Springer
2021
Detecting Flow Experiences in the Field Using Video- Based Head and Face Activity Recognition: A Pilot Study
Berger, C.; Knierim, M. T.; Weinhardt, C.
2021. Proceedings NeuroIS Retreat 2021, Virtual Conference, June 1-3. Ed.: F. D. Davis, 134–141, Springer. doi:10.1007/978-3-030-88900-5_14
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes
Knierim, M.; Schemmer, M.; Woehler, D.
2021. Advances in Usability, User Experience, Wearable and Assistive Technology – Proceedings of the AHFE 2021 Virtual Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, July 25-29, 2021, USA. Ed.: T. Ahram, 26–33, Springer. doi:10.1007/978-3-030-80091-8_4
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
Exploring the Recognition of Facial Activities Through Around-the-Ear Electrode Arrays (cEEGrids)
Knierim, M.; Schemmer, M.; Perusquía-Hernández, M.
2021. Information Systems and Neuroscience: NeuroIS Retreat 2021. Ed.: F. D. Davis, 47–55, Springer. doi:10.1007/978-3-030-88900-5_6
2019
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.
2019. ICIS 2019, Munich, Germany, December 15-18, 2019, 1–17, 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
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
Emotion Feedback in Small Group Collaboration: A Research Agenda for Group Emotion Management Support Systems
Knierim, M. T.; Hariharan, A.; Dorner, V.; Weinhardt, C.
2017. GDN 2017, the 17th International Conference on Group Decision and Negotiation, which will take place at the University of Hohenheim, Stuttgart, Germany, 14th -18th August 2017, 191–202, Univ. Hohenheim
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
Designing Live Biofeedback for Groups to Support Emotion Management in Digital Collaboration
Knierim, M. T.; Jung, D.; Dorner, V.; Weinhardt, C.
2017. Designing the Digital Transformation : 12th International Conference (DESRIST 2017), Karlsruhe, Germany, 30 May - 1 June 2017. Ed.: A. Maedche, 479–484, Springer International Publishing. doi:10.1007/978-3-319-59144-5_35
Presentations
2016
Live Biofeedback for Digital Collaboration
Knierim, M. T.; Hariharan, A.; Lux, E.; Dorner, V.; Weinhardt, C.
2016. 37th International Conference on Information Systems (ICIS), Workshop on the Digitization of the Individual (DOTI), Dublin, Ireland, December 11, 2016

Thesis Supervision

Turn that frown upside down...
[Bachelorarbeit, Masterarbeit]
Status: noch nicht vergeben

Are we in Flow?
[Bachelorarbeit, Masterarbeit]
Status: noch nicht vergeben

Development of a R-Package Serving as Swiss Army Knife For Analyzing Neuro and Physiological Data
[Masterarbeit]
Status: noch nicht vergeben