L.P.A. Simons, P.K. Murukannaiah, M.A. Neerincx (2024), Designing and Evaluating an LLM-based Health AI Research Assistant for Hypertension Self-Management: Using Health Claims Metadata Criteria, In 37th Bled eConference Proceedings p.283-298.

S. Mehrotra (2024), Designing for Appropriate Trust in Human-AI Interaction, PhD Thesis Delft University of Technology.

T. Mioch, Huib Aldewereld, M.A. Neerincx (2024), Empirical Investigation of Values Affected by AI Systems for Fire Services, In Proceedings of the 21st ISCRAM Conference Volume 21.

L.P.A. Simons, B. Gerritsen, Bas Wielaard, M.A. Neerincx (2024), Employee Hypertension Self-Management Support with Microlearning and Social Learning, In International Journal of Networking and Virtual Organisations Volume 30 p.350-365.

Emma M. Van Zoelen, Hugo Veldman-Loopik, Karel van den Bosch, Mark Neerincx, David A. Abbink, Luka Peternel (2024), Enabling Embodied Human-Robot Co-Learning: Requirements, Method, and Test With Handover Task, In IEEE Robotics and Automation Letters Volume 10 p.1425 - 1432.

Berk Buzcu, Emre Kuru, Davide Calvaresi, Reyhan Aydoğan (2024), Evaluation of the User-Centric Explanation Strategies for Interactive Recommenders, Davide Calvaresi, Amro Najjar, Andrea Omicini, Rachele Carli, Giovanni Ciatto, Reyhan Aydogan, Joris Hulstijn, Kary Främling (Eds.), In Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Revised Selected Papers p.21-38, Springer.

Drew Hemment, Dave Murray-Rust, Vaishak Belle, Ruth Aylett, Matjaz Vidmar, Frank Broz (2024), Experiential AI Between Arts and Explainable AI, In Leonardo Volume 57 p.298-308.

P.Y. Chen, Sophie van Gent, M. Birna van Riemsdijk, M.L. Tielman, Tjeerd Schoonderwoerd (2024), Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change, Kiemute Oyibo, Wenzhen Xu, Elena Vlahu-Gjorgievska (Eds.), In Proceedings of the 19ℎ International Conference on Persuasive Technology.

Myrthe L. Tielman, Mari Carmen Suárez-Figueroa, Arne Jönsson, Mark A. Neerincx, Luciano Cavalcante Siebert (2024), Explainable AI for All: A Roadmap for Inclusive XAI for people with Cognitive Disabilities, In Technology in Society Volume 79.

Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, Andrea Omicini (2024), From large language models to small logic programs: Building global explanations from disagreeing local post-hoc explainers, In Autonomous Agents and Multi-Agent Systems Volume 38.