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Carolina Centeio Jorge, Catholijn M. Jonker, Myrthe L. Tielman (2024), Interdependence and trust analysis (ITA): a framework for human–machine team design, In Behaviour and Information Technology.

R.S. Verhagen, M.A. Neerincx, M.L. Tielman (2024), Meaningful human control and variable autonomy in human-robot teams for firefighting, In Frontiers In Robotics and AI Volume 11.

Chadha Degachi, Siddharth Mehrotra, Mireia Yurrita, Evangelos Niforatos, Myrthe Tielman (2024), Practising Appropriate Trust in Human-Centred AI Design, F. Mueller, P. Kyburz, J.R. Williamson, C. Sas (Eds.), In CHI EA '24, ACM.

Ruben S. Verhagen, Alexandra Marcu, Mark A. Neerincx, Myrthe L. Tielman (2024), The Influence of Interdependence on Trust Calibration in Human-Machine Teams, Fabian Lorig, Jason Tucker, Adam Dahlgren Lindström, Frank Dignum, Pradeep Murukannaiah, Andreas Theodorou, Pinar Yolum (Eds.), In HHAI 2024: Hybrid AI Systems for the Social Good p.300-314, IOS Press.

Pei Yu Chen, Myrthe L. Tielman, Dirk K.J. Heylen, Catholijn M. Jonker, M. Birna Van Riemsdijk (2023), Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues, Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), In HHAI 2023 p.93-107, IOS Press.

Carolina Centeio Jorge, Catholijn M. Jonker, Myrthe L. Tielman (2023), Artificial Trust for Decision-Making in Human-AI Teamwork: Steps and Challenges, In CEUR Workshop Proceedings p.150-156.

S. Mehrotra, C. Centeio Jorge, C.M. Jonker, M.L. Tielman (2023), Building Appropriate Trust in AI: The Significance of Integrity-Centered Explanations, 2nd International Conference on Hybrid Human Artificial Intelligence.

Carolina Centeio Jorge, Nikki H. Bouman, Catholijn M. Jonker, Myrthe L. Tielman (2023), Exploring the effect of automation failure on the human’s trustworthiness in human-agent teamwork, In Frontiers In Robotics and AI Volume 10.

R.S. Verhagen, M.A. Neerincx, C. Parlar, M. Vogel, M.L. Tielman (2023), Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance, In Proceedings of the 2023 International Conference of Autonomous Agents and Multiagent Systems p. 2316–2318.