Developing Explanations Together

Affective computing deals with the computer-aided recognition of human emotions. In TRR 318, the team from project A06, "Co-Constructing social signs of understanding to adapt monitoring to diversity," is researching in this area. Dr. David Johnson, Jonas Paletschek, and Prof Dr. Hanna Drimalla, in collaboration with Olya Hakobyan, have now published a paper about the relevance of Explainable Artificial Intelligence (XAI) for affective computing.

A team of Transregio researchers from the University of Bielefeld University and LMU Munich has developed a new open source tool: shapiq. The software extends existing methods of explainable AI by analyzing not only the influence of individual features, but also their joint interactions. Maximilian Muschalik and Fabian Fumagalli will present their results at the NeurIPS 2024 conference.

People use speech, facial expressions, and gestures to show whether they have understood an explanation. This multimodal communication should also be used in explanatory dialogs with AI systems. Researchers from TRR 318 presented their approaches and results in this area at the ICMI 2024, the 26th International Conference on Multimodal Interaction. Four members of the Transregio traveled to San José, Costa Rica, from November 4 to 8.