Publications


Abawi, Fares, Tom Weber, and Stefan Wermter. 2021. “GASP: Gated Attention for Saliency Prediction.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), 584–91. IJCAI Organization; International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/81.
Ambsdorf, Jakob, Alina Munir, Yiyao Wei, Klaas Degkwitz, Harm Matthias Harms, Susanne Stannek, Kyra Ahrens, et al. 2022. “Explain Yourself! Effects of Explanations in Human-Robot Interaction.” In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 393–400. IEEE. https://doi.org/10.1109/RO-MAN53752.2022.9900558.
Baess, Pamela, Tom Weber, and Christina Bermeitinger. 2018. “Sharing Different Reference Frames: How Stimulus Setup and Task Setup Shape Egocentric and Allocentric Simon Effects.” Frontiers in Psychology 9: 2063. https://doi.org/10.3389/fpsyg.2018.02063.
Kerzel, Matthias, Jakob Ambsdorf, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, and Stefan Wermter. 2022. “What’s on Your Mind, NICO? XHRI: A Framework for eXplainable Human-Robot Interaction.” KI - Künstliche Intelligenz, August, 1–18. https://doi.org/https://doi.org/10.1007/s13218-022-00772-8.
Sun, Xiaowen, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, and Stefan Wermter. 2022. “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture.” In Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), 258–69. Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-031-15931-2_22.
Weber, Tom, and Stefan Wermter. 2020. “Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction.” In Proceedings of the AI-HRI Symposium at AAAI-FSS 2020. https://doi.org/ARXIV:2010.04602.