Investigations of Social Intelligence
©SCIoI
The present project is focused on the investigation of social intelligence in the context of perception, communication, and interaction between humans and artificial intelligence. Electrophysiological measures will be used to obtain insights into neural processing taking place in humans during these situations. The overarching goal of the project is to integrate the gained knowledge into the development and programming of artificial intelligence. By understanding the neural basis of social perception and interaction, specific approaches can be developed to adapt the behavior of robots and thereby enable, for example, increased perceived trustworthiness of the robot or facilitated interaction between humans and robots.
Eiserbeck, A., Enge, A., Rabovsky, M., & Abdel Rahman, R. (2024). Distrust before first sight? Examining knowledge- and appearance-based effects of trustworthiness on the visual consciousness of faces. Consciousness and Cognition, 117, 103629. https://doi.org/10.1016/j.concog.2023.103629
Eiserbeck, A., Maier, M., Baum, J., & Abdel Rahman, R. (2023). Deepfake smiles matter less—the psychological and neural impact of presumed AI-generated faces. Scientific Reports. https://doi.org/10.1038/s41598-023-42802-x
Eiserbeck, A., Wudarczyk, O., Kuhlen, A., Hafner, V., Haynes, J.-D., & Rasha, A. R. (2024). Communicative context enhances emotional word processing with human speakers but not with robots. ASSC27.
