Publication_Krause

Title

Moallem, A., Degen, H., & Ntoa, S. (Eds.). (2026). Artificial Intelligence and Large Language Models: A Scientific Perspective. CRC Press.

https://www.routledge.com/Artificial-Intelligence-and-Large-Language-Models-A-Scientific-Perspective/Moallem-Degen-Ntoa/p/book/9781032775128

Contribution to Bookchapter

Chapter 12 How Do AI and LLMs Change Our Lives? Reflections and Outlook

Helmut Degen, Stavroula Ntoa, Abbas Moallem, Joerg Beringer, Carrie Ching, Lance Chong, Thomas Geis, Pei‑Hsuan Hsieh, Khalid Kattan, Prabhat Kumar, André Frank Krause, Carsten Lanquillon, Rebecca McNulty, Mark Mittrick, Mark Nuppnau, Abraham Moore Odell, Ming Qian, Adrienne Raglin, Robert G. Reynolds, John Richardson, Yao Sun, Lijing Wang, and Carsten Wittenberg

Title

Ching, C., & Krause, A. F. (2026). Evaluating Tang Poem Comprehension of Foreigners in Holistically Designed Spatial Experience in Virtual Reality. In International Conference on Human-Computer Interaction (pp. 136-147). Cham: Springer Nature Switzerland.

DOI: https://doi.org/10.1007/978-3-032-12764-8_12

Abstract

Virtual Reality (VR) is an intuitive and natural Human-Computer Interaction interface that can facilitate learning, entertainment, simulation and humanities. But it is often resource-demanding to design, develop and evaluate. In previous study, by expressing a Classical-Chinese-written Tang poem “Snow on the River” (SOR) via storytelling in English and holistically designed spatial experience in VR, a VR experience for reading SOR was created, and a design methodology for creating a VR for reading Tang poetry was generalized.

Title

Pfeifer, J., Behnisch, C., Kannen, K., Büscher, S., Wild-Wall, N., Krause, F. A., & Mai, J. (2025, August). Exploring ECG and eye-tracking biomarkers for emotion recognition: A pilot study. (Poster presentation). 39th Annual Conference of the European Health Psychology Society (EHPS), Groningen, Netherlands.

Poster: pfeifer2026_poster_ehps.pdf

Title

Krause, A. F. *, Kannen, K. *, Büscher, S., Ressel, C. & Wild-Wall, N. (2025). Pro-adaptive Cognitive Assistive Technology: Concept and Application in Reading Support for ADHD. In International Conference on Extended Reality (pp. xx-xx). Springer Lecture Notes in Computer Science. (in press).

(*) These authors contributed equally to this work.

Title

Krause, A. F., Essig, K., Wild-Wall, N., Ressel, C. (2024), A proposal for the concept of Pro-adaptive Cognitive Assistive Technology. Abstract, accepted at Human Factors and Ergonomics Societey Europe (HFES).

Abstract

Assistive Technology is becoming an integral part of our daily live, supporting people in different areas, for example while driving a car or cognitive demanding tasks at work or home. Yet, existing Assistive Technology often only considers the current situational context and capabilities of a user. Here, we propose the concept of “Pro-adaptive Cognitive Assistive Technology” (Pro-CAT), that adapts to predictable, temporal changes in the users capabilities and contextual situation (e.g., general ageing processes, an expected course of a disease, learning progress during skill aquisition or environmental changes). Pro-CAT can have several advantages:

Title

Nele Wild-Wall, Christian Ressel, Kyra Kannen, André Frank Krause, Sarah Büscher, Birgit Mosler und Barbara Arntz (2024), Strukturen zur Berücksichtigung ethischer Aspekte in der Entwicklung von digitalen assistiven Technologien für vulnerable Gruppen. (under review)

Title

Krause, A. F., Ferger, A., Pitsch, K. (2023). Anonymization of Persons in Videos of Authentic Social Interaction: Model Selection and Parameter Optimization. In: 10th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2023), Mannheim.

Abstract

Automatic anonymization of persons in video recordings requires robust detection of face and head areas. Machine learning-based face and posture detectors provide bounding boxes of face and head regions, but specific parameters need to be optimized to maximize the number of correctly anonymized persons and minimize manual annotation and verification efforts. Three different, state-of-the-art ML models (RetinaFace Detector (RFD), Dual-Shot Face Detector (DSFD) and Yolo7-Pose Detector (Y7PD)) were evaluated regarding their suitability for face- and head-region anonymization. Results on our specific anonymization test dataset show that RFD slightly outperforms DSFD if recall (maximizing anonymization) is favored over precision (minimizing false positive face detections). Y7PD yields an even better recall, but at the cost of comparatively low precision. Besides anonymization, collected detector outputs can provide useful data for multimodal interaction research, like body-posture trajectories and face locations.

Krause, A.F., Ferger, A., Pitsch, K. (2023). Detecting and Tracking Persons in Video Recordings of Authentic Social Interaction: Analysis and Anonymization. Computational and Quantitative Approaches to Multimodal Video Analysis (CAMVA 2023). accepted.

https://doi.org/10.1007/978-3-031-10467-1_47

Abstract

Compromised near-body electronic devices, like an eye tracker or a brain-computer interface, can leak private, highly sensitive biometric or medical data. Such data must be protected at all costs to avoid mass-surveillance and hacking attempts. We review the current, dire state of network security caused by complex protocols, closed-source software and proprietary hardware. To tackle the issue, we discuss a concept that protects privacy by combining three elements: data diodes, strong encryption and true random number generators. For each element, we suggest low-complexity algorithms and low-cost hardware solutions that can be implemented using off-the-shelf components. Already a basic data diode can establish a strong barrier against hacking attempts. A carefully designed, shielded and monitored system combining data diodes and strong encryption can make most levels of attack infeasible.