Michael Thomas Knierim

22 papers A* 2B 1C 3Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2025 B conf
BodyPursuits: Exploring Smooth Pursuit Gaze Interaction Based on Body Motion Targets.
ETRA
Anja Hansen, Sarah Makarem, Kai Kunze, Yexu Zhou, Michael Thomas Knierim, Christopher Clarke, Hans Gellersen, Michael Beigl, Tobias Röddiger
2025 — conf
Mental Readiness and Fatigue: Extended Perspectives on Cognitive Functioning and Flow Experiences at Work.
CHI Extended Abstracts
Lukas Schick, Michael Thomas Knierim, Benjamin Gaube, Mario Nadj, Alexander Mädche
2025 — conf
Shared Mental Models for Better Virtual Collaboration - Is There Potential for Adaptation?
HCI (11)
Benjamin Gaube, Anuja Hariharan, Michael Thomas Knierim, Christof Weinhardt
2025 — conf
Towards understanding the dynamics of interoception and competitive arousal.
ECIS
Lorenzo Del Puppo, Michael Thomas Knierim, Niels Doehring, Fabio Stano
2025 C conf
When to Take a Break? Temporal Dynamics of Mental Workload in Remote Meetings - A NeuroIS Study.
ICIS
Chiara Krisam, Julia Seitz, Michael Thomas Knierim
2025 A* conf
Work Hard, Play Harder: Intense Games Enable Recovery from High Mental Workload Tasks.
CHI
Linqi Zhao, Michael Thomas Knierim, Max L. Wilson, Patrick Dickinson, Horia A. Maior
2024 C conf
Cognitive Load Dynamics in Generative AI-Assistance: A NeuroIS Study.
ICIS
Thimo Schulz, Michael Thomas Knierim
2024 A* conf
Connecting Home: Human-Centric Setup Automation in the Augmented Smart Home.
CHI
Marius Schenkluhn, Michael Thomas Knierim, Francisco Kiss, Christof Weinhardt
2024 — conf
The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification.
HICSS
Alexander Grote, Wolfgang Badewitz, Michael Thomas Knierim, Christof Weinhardt
2024 — conf
Towards EEG-Based Decision Support Systems: Externalizing Neural Information to Assist Economic Decisions.
ECIS
Fabio Stano, Michael Thomas Knierim
2024 — conf
Warmth on Demand: Designing Headphones for Enhanced Thermal Comfort in Work Environments.
CHI Extended Abstracts
Michael Thomas Knierim, Lukas Braun, Monica Perusquía-Hernández
2023 J jnl
A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings.
Sensors
Michael Thomas Knierim, Martin G. Bleichner, Pierluigi Reali
2023 — conf
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
Christoph Berger, Michael Thomas Knierim, Ivo Benke, Karen Bartholomeyczik, Christof Weinhardt
2023 — conf
OpenBCI + 3D-Printed Headphones = Open ExG Headphones - An Open-Source Research Platform for Biopotential Earable Applications.
CHI Extended Abstracts
Michael Thomas Knierim, Daniel Puhl, Gabriel Ivucic, Tobias Röddiger
2023 — conf
Time-Aware Data Profiling With Decision Tree Pattern Mining.
CBI
Alexander Grote, Wolfgang Badewitz, Michael Thomas Knierim, Christof Weinhardt
2022 — conf
Could we Predict Flow from Ear-EEG?
ACIIW
Michael Thomas Knierim, Karen Bartholomeyczik, Petra Nieken, Christof Weinhardt
2022 C conf
Monitoring Cognitive Load with 3D-Printed EEG Headphones.
ICIS
Michael Thomas Knierim, Christian Zimny, Julia Seitz
2021 — conf
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes.
AHFE (17)
Michael Thomas Knierim, Max Schemmer, Dominik Woehler
2021 — ch.
Information and Market Engineering at KIT: Quo Vadis?
Market Engineering
David Dann, Michael Thomas Knierim, Christian Peukert, Philipp Staudt, Tim Straub
2021 J jnl
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes.
CoRR
Michael Thomas Knierim, Christoph Berger, Pierluigi Reali
2020 J jnl
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study.
Proc. ACM Hum. Comput. Interact.
Ivo Benke, Michael Thomas Knierim, Alexander Maedche
2018 — conf
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow.
CHI Extended Abstracts
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche