Hi. I'm Jakob Karolus.

I am a researcher at the Human-Centered Ubiquitous Media group at the Institute of Informatics at the Ludwig-Maximilian University of Munich. My research focuses on establishing guidelines and techniques for Proficiency-Aware Interfaces based on Physiological Sensing.



Miriam Greis, Jakob Karolus, Hendrik Schuff, Paweł W. Woźniak, Niels Henze Detecting uncertain input using physiological sensing and behavioral measurements In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. MUM '17. ACM, Stuttgart, Germany.

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Jakob Karolus, Paweł W. Woźniak, Lewis L. Chuang, Albrecht Schmidt Robust Gaze Features for Enabling Language Proficiency Awareness In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI '17. ACM, Denver, USA.

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Jakob Karolus, Paweł W. Woźniak, Lewis L. Chuang Towards Using Gaze Properties to Detect Language Proficiency In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction. NordiCHI '16. ACM, Gothenburg, Sweden.

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Biying Fu, Jakob Karolus, Tobias Grosse-Puppendahl, Jonathan Hermann, Arjan Kuijper Opportunities for Activity Recognition Using Ultrasound Doppler Sensing on Unmodified Mobile Phones In: Proceedings of the 2nd International Workshop on Sensor-based Activity Recognition and Interaction. WOAR '15. ACM, Rostock, Germany. Best paper award.

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Axel Schulz, Jakob Karolus, Frederik Janssen, Immanuel Schweizer Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data In: International Conference and Workshops on Networked Systems. NetSys '15. IEEE, Cottbus, Germany.

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The SFB-TRR 161 is a collaborative, interdisciplinary and research projects that connects 17 project teams of the University of Stuttgart, University of Konstanz and the Max-Planck Institute for Biological Cybernetics, that are working in four Project Areas, three Task Forces in the field of Visual Computing. Further information are available at the corresponding website: SFB-TRR 161.

C02: Physiologically Based Sensing and Adaptive Visualization

In this project, we research new methods and techniques for cognition-aware visualizations. The basic idea is that a cognition-aware adaptive visualization will observe the physiological response of a person while interacting with a system und use this implicit input. Electrical signals measured on the body (e.g. EEG, EMG, ECG, galvanic skin response), changes of physiological parameters (e.g. body temperature, respiration rate, and pulse) as well as the users’ gaze behavior are used to estimate cognitive load and understanding. Through experimental research, concepts and models for adaptive and dynamic visualizations will be created. Frameworks and tools will be realized and empirically validated. You can find the project here.


Jakob Karolus
Human-Centered Ubiquitous Media
Frauenlobstr. 7a
80337 Munich
jakob.karolus (at) ifi (dot) lmu (dot) de