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Michael T. Knierim

Michael Thomas Knierim

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Journal Articles

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2025
[j7]
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Michael T. Knierim, Christian Zimny, Gabriel Ivucic, Tobias Röddiger:
Advancing Wearable BCI: Headphone EEG for Cognitive Load Detection in Lab and Field. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(1): 9:1-9:26 (2025)
2024
[j6]
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Ivo Benke, Michael T. Knierim, Marc T. P. Adam, Michael Beigl, Verena Dorner, Ulrich Ebner-Priemer, Manfred Herrmann, Martin Klarmann, Alexander Maedche, Julia Nafziger, Petra Nieken, Jella Pfeiffer, Clemens Puppe, Felix Putze, Benjamin Scheibehenne, Tanja Schultz, Christof Weinhardt:
Hybrid Adaptive Systems. Bus. Inf. Syst. Eng. 66(2): 233-247 (2024)
2023
[j5]
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Mario Nadj, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Xiling Li, Alexander Maedche, René Riedl:
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions. MIS Q. 47(4): 1615-1646 (2023)
[j4]
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Michael Thomas Knierim, Martin G. Bleichner, Pierluigi Reali:
A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings. Sensors 23(9): 4559 (2023)
[j3]
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Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche:
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. IEEE Trans. Affect. Comput. 14(1): 463-474 (2023)
2020
[j2]
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Ivo Benke, Michael Thomas Knierim, Alexander Maedche:
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 118:1-118:30 (2020)
2018
[j1]
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Ewa Lux, Marc T. P. Adam, Verena Dorner, Sina Helming, Michael T. Knierim, Christof Weinhardt:
Live Biofeedback as a User Interface Design Element: A Review of the Literature. Commun. Assoc. Inf. Syst. 43: 18 (2018)

Conference and Workshop Papers

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2025
[c24]
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  - conf/chi/KnierimSKH025
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Michael T. Knierim, Fabio Stano, Fabio Kurz, Antonius Heusch, Max L. Wilson:
Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors. CHI 2025: 112:1-112:16
[c23]
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Lukas Schick, Michael Thomas Knierim, Benjamin Gaube, Mario Nadj, Alexander Mädche:
Mental Readiness and Fatigue: Extended Perspectives on Cognitive Functioning and Flow Experiences at Work. CHI Extended Abstracts 2025: 393:1-393:8
[c22]
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Linqi Zhao, Michael Thomas Knierim, Max L. Wilson, Patrick Dickinson, Horia A. Maior:
Work Hard, Play Harder: Intense Games Enable Recovery from High Mental Workload Tasks. CHI 2025: 1209:1-1209:21
[c21]
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Anja Hansen, Sarah Makarem, Kai Kunze, Yexu Zhou, Michael Thomas Knierim, Christopher Clarke, Hans Gellersen, Michael Beigl, Tobias Röddiger:
BodyPursuits: Exploring Smooth Pursuit Gaze Interaction Based on Body Motion Targets. ETRA 2025: 3:1-3:8
[c20]
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Benjamin Gaube, Anuja Hariharan, Michael Thomas Knierim, Christof Weinhardt:
Shared Mental Models for Better Virtual Collaboration - Is There Potential for Adaptation? HCI (11) 2025: 287-310
2024
[c19]
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Michael Thomas Knierim, Lukas Braun, Monica Perusquía-Hernández:
Warmth on Demand: Designing Headphones for Enhanced Thermal Comfort in Work Environments. CHI Extended Abstracts 2024: 369:1-369:7
[c18]
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Marius Schenkluhn, Michael Thomas Knierim, Francisco Kiss, Christof Weinhardt:
Connecting Home: Human-Centric Setup Automation in the Augmented Smart Home. CHI 2024: 847:1-847:16
[c17]
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Fabio Stano, Michael Thomas Knierim:
Towards EEG-Based Decision Support Systems: Externalizing Neural Information to Assist Economic Decisions. ECIS 2024
[c16]
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Alexander Grote, Wolfgang Badewitz, Michael Thomas Knierim, Christof Weinhardt:
The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification. HICSS 2024: 1080-1089
[c15]
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Thimo Schulz, Michael Thomas Knierim:
Cognitive Load Dynamics in Generative AI-Assistance: A NeuroIS Study. ICIS 2024
[c14]
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Tobias Röddiger, Michael T. Knierim, Philipp Lepold, Tobias King, Michael Beigl:
OpenEarable Suite: Open-Source Hardware to Sense 30+ Phenomena on the Ears. MuC (Workshopband) 2024
[c13]
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Helen Vedder, Fabio Stano, Michael T. Knierim:
Classification of Music Preferences Using EEG Data in Machine Learning Models. MuC (Workshopband) 2024
[c12]
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Alexander Grote, Anuja Hariharan, Michael T. Knierim, Christof Weinhardt:
How good are you? An empirical classification performance comparison of large language models with traditional open set recognition classifiers (short paper). ZEUS 2024: 27-32
2023
[c11]
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  - conf/chi/BergerKBBW23
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Christoph Berger, Michael Thomas Knierim, Ivo Benke, Karen Bartholomeyczik, Christof Weinhardt:
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. CHI Extended Abstracts 2023: 184:1-184:8
[c10]
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Michael Thomas Knierim, Daniel Puhl, Gabriel Ivucic, Tobias Röddiger:
OpenBCI + 3D-Printed Headphones = Open ExG Headphones - An Open-Source Research Platform for Biopotential Earable Applications. CHI Extended Abstracts 2023: 221:1-221:7
[c9]
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Alexander Grote, Wolfgang Badewitz, Michael Thomas Knierim, Christof Weinhardt:
Time-Aware Data Profiling With Decision Tree Pattern Mining. CBI 2023: 1-7
2022
[c8]
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  - conf/acii/KnierimBNW22
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Michael Thomas Knierim, Karen Bartholomeyczik, Petra Nieken, Christof Weinhardt:
Could we Predict Flow from Ear-EEG? ACIIW 2022: 1-6
[c7]
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Michael Thomas Knierim, Christian Zimny, Julia Seitz:
Monitoring Cognitive Load with 3D-Printed EEG Headphones. ICIS 2022
2021
[c6]
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Michael Thomas Knierim, Max Schemmer, Dominik Woehler:
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes. AHFE (17) 2021: 26-33
2019
[c5]
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Michael T. Knierim, Mario Nadj, Christof Weinhardt:
Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection. CHIRA 2019: 183-190
[c4]
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Michael T. Knierim, Mario Nadj, Maximilian Xiling Li, Christof Weinhardt:
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? ICIS 2019
2018
[c3]
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Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche:
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. CHI Extended Abstracts 2018
[c2]
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  - conf/phycs/KnierimNHW18
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Michael T. Knierim, Mario Nadj, Anuja Hariharan, Christof Weinhardt:
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. PhyCS 2018: 42-53
2017
[c1]
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  - conf/desrist/KnierimJDW17
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Michael T. Knierim, Dominik Jung, Verena Dorner, Christof Weinhardt:
Designing Live Biofeedback for Groups to Support Emotion Management in Digital Collaboration. DESRIST 2017: 479-484

Parts in Books or Collections

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2021
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David Dann, Michael Thomas Knierim, Christian Peukert, Philipp Staudt, Tim Straub:
Information and Market Engineering at KIT: Quo Vadis? Market Engineering 2021: 1-19

Informal and Other Publications

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2025
[i2]
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  - journals/corr/abs-2501-19217
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Michael T. Knierim, Fabio Stano, Fabio Kurz, Antonius Heusch, Max L. Wilson:
Exploring Flow in Real-World Knowledge Work Using Discreet cEEGrid Sensors. CoRR abs/2501.19217 (2025)
2021
[i1]
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  - journals/corr/abs-2102-00414
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Michael Thomas Knierim, Christoph Berger, Pierluigi Reali:
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes. CoRR abs/2102.00414 (2021)

Coauthor Index

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