I am a researcher at the Embedded Intelligence group at the German Research Center for Artificial Intelligence (DFKI). My research focuses on establishing guidelines and principles for Proficiency-Aware Systems and Human-Centric Artificial Intelligence.
Jakob Karolus, Felix Bachmann, Thomas Kosch, Albrecht Schmidt, and Paweł W. Woźniak Facilitating Bodily Insights Using Electromyography-Based Biofeedback during Physical Activity In Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction (MobileHCI '21). ACM, New York, NY, USA, Article 14, 1–15.
Download Cite Video Talk Publisher
Jakob Karolus, Francisco Kiss, Caroline Eckerth, Nicolas Viot, Felix Bachmann, Albrecht Schmidt, and Paweł W. Woźniak EMBody: A Data-Centric Toolkit for EMG-Based Interface Prototyping and Experimentation In Proc. ACM Hum.-Comput. Interac. 5 (EICS) Article 195, 2021. 29 pages.
Download Cite Video GitHub Publisher
Paweł W. Woźniak, Jakob Karolus, Florian Lang, Caroline Eckerth, Johannes Schöning, Yvonne Rogers, and Jasmin Niess Creepy Technology:What Is It and How Do You Measure It? In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). ACM, New York, NY, USA, Article 719, 1–13.
Download Cite Video Talk Publisher
Jakob Karolus, Annika Kilian, Thomas Kosch, Albrecht Schmidt and Paweł W. Woźniak Hit the Thumb Jack! Using Electromyography to Augment the Piano Keyboard In Proceedings of the 2020 ACM Designing Interactive Systems Conference (DIS ’20). ACM, New York, NY, USA, 420-440.
Download Cite Video Talk PublisherAnnika Kilian, Jakob Karolus, Thomas Kosch, Albrecht Schmidt, and Paweł W. Woźniak EMPiano: Electromyographic Pitch Control on the Piano Keyboard In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). ACM, New York, NY, USA, Article 196, 1–4.
Download Cite Video GitHub Publisher
Matthias Hoppe, Jakob Karolus, Felix Dietz, Paweł W. Woźniak, Albrecht Schmidt, and Tonja-Katrin Machulla VRsneaky: Increasing Presence in VR Through Gait-Aware Auditory Feedback In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA, Paper 546, 1–9.
Download Cite Video PublisherFelix Dietz, Matthias Hoppe, Jakob Karolus, Paweł W. Woźniak, Albrecht Schmidt, and Tonja-Katrin Machulla VRsneaky: Stepping into an Audible Virtual World with Gait-Aware Auditory Feedback In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). ACM, New York, NY, USA, 1–4.
Download Cite Video Publisher
Biying Fu, Jakob Karolus, Tobias Grosse-Puppendahl, Jonathan Hermann, and 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, New York, NY, USA, Article 8, 10 pages. Best paper award.
Download Cite Publisher
There is a strong consensus that artificial intelligence (AI) will bring forth changes that will be much more profound than any other technological revolution in human history. Depending on the course that this revolution takes, AI will either empower our ability to make more informed choices or reduce human autonomy; expand the human experience or replace it; create new forms of human activity or make existing jobs redundant; help distribute well-being for many or increase the concentration of power and wealth in the hands of a few; expand democracy in our societies or put it in danger.
Europe carries the responsibility of shaping the AI revolution. The choices we face today are related to fundamental ethical issues about the impact of AI on society, in particular, how it affects labor, social interactions, healthcare, privacy, fairness and security. The ability to make the right choices requires new solutions to fundamental scientific questions in AI and human-computer interaction (HCI).
There is a need of shaping the AI revolution in a direction that is beneficial to humans both individually and societally, and that adheres to European ethical values and social, cultural, legal, and political norms.
Current technical sensor systems offer capabilities that are superior to human perception. Cameras can capture a spectrum that is wider than visible light, high-speed cameras can show movements that are invisible to the human eye, and directional microphones can pick up sounds at long distances. The vision of this project is to lay a foundation for the creation of digital technologies that provide novel sensory experiences and new perceptual capabilities for humans that are natural and intuitive to use. In a first step, the project will assess the feasibility of creating artificial human senses that provide new perceptual channels to the human mind, without increasing the experienced cognitive load. A particular focus is on creating intuitive and natural control mechanisms for amplified senses using eye gaze, muscle activity, and brain signals. The project will quantify the effectiveness of new senses and artificial perceptual aids compared to the baseline of unaugmented perception. The overall objective is to systematically research, explore, and model new means for increasing the human intake of information in order to lay the foundation for new and improved human senses enabled through digital technologies and to enable artificial reflexes.
The ground-breaking contributions of this project are (1) to demonstrate the feasibility of reliably implementing amplified senses and new perceptual capabilities, (2) to prove the possibility of creating an artificial reflex, (3) to provide an example implementation of amplified cognition that is empirically validated, and (4) to develop models, concepts, components, and platforms that will enable and ease the creation of interactive systems that measurably increase human perceptual capabilities. Further information are available at the corresponding website: ERC Amplify
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.
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.