Michael T. Knierim

Orcid: 0000-0001-7148-5138

According to our database1, Michael T. Knierim authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning.
IEEE Trans. Affect. Comput., 2023

A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings.
Sensors, 2023

What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions.
MIS Q., 2023

Time-Aware Data Profiling With Decision Tree Pattern Mining.
Proceedings of the 25th IEEE Conference on Business Informatics, 2023

OpenBCI + 3D-Printed Headphones = Open ExG Headphones - An Open-Source Research Platform for Biopotential Earable Applications.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Monitoring Cognitive Load with 3D-Printed EEG Headphones.
Proceedings of the 43rd International Conference on Information Systems, 2022

Could we Predict Flow from Ear-EEG?
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022, 2022

2021
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes.
CoRR, 2021

Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes.
Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021

Information and Market Engineering at KIT: Quo Vadis?
Proceedings of the Market Engineering: Insights from Two Decades of Research on Markets and Information, 2021

2020
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study.
Proc. ACM Hum. Comput. Interact., 2020

2019
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?
Proceedings of the 40th International Conference on Information Systems, 2019

Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection.
Proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications, 2019

2018
Live Biofeedback as a User Interface Design Element: A Review of the Literature.
Commun. Assoc. Inf. Syst., 2018

Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks.
Proceedings of the 5th International Conference on Physiological Computing Systems, 2018

Got Flow?: Using Machine Learning on Physiological Data to Classify Flow.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Designing Live Biofeedback for Groups to Support Emotion Management in Digital Collaboration.
Proceedings of the Designing the Digital Transformation - 12th International Conference, 2017


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