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ORCIDMichael T. Knierim
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2020 – today
- 2024
[j6]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)- [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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
- [j5]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]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]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) - [c11]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]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]Alexander Grote, Wolfgang Badewitz, Michael Thomas Knierim, Christof Weinhardt:
Time-Aware Data Profiling With Decision Tree Pattern Mining. CBI 2023: 1-7 - 2022
- [c8]Michael Thomas Knierim, Karen Bartholomeyczik, Petra Nieken, Christof Weinhardt:
Could we Predict Flow from Ear-EEG? ACIIW 2022: 1-6 - [c7]Michael Thomas Knierim, Christian Zimny, Julia Seitz:
Monitoring Cognitive Load with 3D-Printed EEG Headphones. ICIS 2022 - 2021
- [c6]Michael Thomas Knierim, Max Schemmer, Dominik Woehler:
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes. AHFE (17) 2021: 26-33 - [p1]David Dann, Michael Thomas Knierim, Christian Peukert, Philipp Staudt, Tim Straub:
Information and Market Engineering at KIT: Quo Vadis? Market Engineering 2021: 1-19 - [i1]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) - 2020
- [j2]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)
2010 – 2019
- 2019
- [c5]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]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
- [j1]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) - [c3]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]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]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
Coauthor Index
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