Enhancing Usability of Voice Interfaces for Socially Assistive Robots Through Deep Learning: A German Case Study. In Helmut Degen, und Stavroula Ntoa (Hrsg.), Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings, (2):231--249, Springer, Cham, 2024. [PUMA: area_responsibleai FIS_scads Human-Robot Interaction, Interface Study, User Voice]
Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements. In Vincent G. Duffy (Hrsg.), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 14th International Conference, DHM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings, 341--354, Springer, Berlin u. a., Germany, 2023. [PUMA: area_responsibleai Classification, Determination, Eye-Movement FIS_scads Modelling Nystagmus Parameter User]
Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces. Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 81--92, 2023. [PUMA: topic_visualcomputing Analytics Automotive Big Data ICEBOAT Interactions Interfaces User]
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: experience in-vehicle information interview study systems user] URL