Title Gjoreski, M., Hassan, T., Vered, M., Houben, S., & Kopp, S. (2024, October). XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing. In Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 992-995).
Abstract The workshop XAI for U aims to address the critical need for transparency in Artificial Intelligence (AI) systems that integrate into our daily lives through mobile systems, wearables, and smart environments.
Title Schneider, J., Cheruvalath, S. S., & Hassan, T. (2024, October). Time for an Explanation: A Mini-Review of Explainable Physio-Behavioural Time-Series Classification. In Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 885-889).
Abstract Time-series classification is seeing growing importance as device proliferation has lead to the collection of an abundance of sensor data. Although black-box models, whose internal workings are difficult to understand, are a common choice for this task, their use in safety-critical domains has raised calls for greater transparency.
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 Wild-Wall, N., Ressel, C., Kannen, K., Krause, A. F., Büscher, S., Mosler, B., & Arntz, B. (2024). Strukturen zur Berücksichtigung ethischer Aspekte in der Entwicklung von digitalen assistiven Technologien für vulnerable Gruppen. In K. Hegemann, D. Lud & F. Sohnrey (Hrsg.), Wer rettet die Welt? Transformation gestalten in Zeiten der Polykrise (S. 165–182). Nomos.
Title Ferger, A., Krause, A. F., & Pitsch, K. Workflows and Methods for Creating Structured Corpora of Multimodal Interaction. 14–15 September 2023, University of Mannheim, Germany, 73.
Abstract Corpus analysis of computer mediated and/or multimodal interaction can draw on methods of written and spoken corpora, while also providing further information like gaze or walk annotations or sensor-based data like kinect or motion capture or robot log files. We propose a workflow leveraging the developments of both worlds while simultaneously focussing on standard formats and a sustainable way of research data management.