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.
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 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.
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.
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.
