16:30 - 18:00
Parallel sessions 3
16:30 - 18:00
Room: HSZ - N9
Chair/s:
Martin Maier, Julia Baum
Recent technological and cultural change has introduced new and fast-evolving challenges to social perception and evaluation. Deepfakes, misinformation, artificial agents, and other technologically mediated phenomena pose novel inputs to these systems, and the psychological mechanisms through which perceivers interpret, believe, and evaluate them remain incompletely understood. 
This symposium examines these issues through the lens of the beholder’s share: the extent to which what we “see” in others—including artificial agents—is shaped by predictions grounded in prior knowledge, beliefs, and emotional context. The psychology of the perceiver matters ever more as technologies produce increasingly convincing social signals, such that beliefs and contextual cues—like knowing an image is fake—become distinctive factors in determining their impact.
Emotion plays a central role across the five presentations, each addressing how affective meaning interacts with belief and authenticity in social cognition. Julia Baum’s talk examines EEG correlates of social evaluation under potential misinformation, identifying neural markers of susceptibility and effective intervention. Alexander Leonhardt investigates how intentionality evoked by affective knowledge and robot appearance jointly shape mind attribution and moral-emotional evaluation of humanoid robots. Martin Maier’s presentation explores how emotionally relevant deepfake faces and scenes influence neural responses and evaluations, revealing asymmetries in how positive versus negative content is discounted when believed to be artificial. Annika Ziereis will show behavioral and EEG data examining the processing of naturally photographed or AI-generated facial expressions, evaluating how the actual and perceived authenticity of the emotional cues influences neural and behavioral responses. Finally, Jana Vanek turns to the mechanisms of social-perceptual change itself, showing through EEG studies of meme-like humor how new contextual information can trigger sudden perspective shifts and reorganize social meaning in real time.
Together, these investigations illuminate how emotions, beliefs, and expectations guide perception in increasingly uncertain and often artificially social environments. By focusing on the interplay between psychological processes and cultural-technological transformations, the symposium aims to advance understanding of how humans navigate authenticity, agency, and moral evaluation in a rapidly changing social world.
Submission 633
Neural and Behavioral Correlates of Emotional Face Processing for Genuine and AI-Generated Expressions
SymposiumTalk-02
Presented by: Annika Ziereis
Annika ZiereisAnne Schacht
Cognition, Emotion and Behavior, Georg-Elias-Müller Institute of Psychology, Georg-August-University Göttingen, Germany
The proliferation of AI-generated facial expressions raises critical questions about how authenticity beliefs shape emotional face processing. This study re-analyzed single-trial EEG data from N = 40 participants from Ziereis and Schacht (2024, Scientific Reports) to examine how subjective beliefs about facial expression authenticity interact with neural processing of emotional content. While the original study focused on neural responses to genuine and artificially created emotional facial expressions (happy, angry, neutral) across different stimulus sizes (small, medium, large), the present re-analysis specifically investigated how participants’ beliefs about authenticity (real vs. fake) modulated event-related potentials (ERPs). Results revealed that early to late face-sensitive ERP components (P1, N170, EPN, LPC) were affected by the inherent stimulus properties and emotion, but the influence of subjective authenticity beliefs became increasingly pronounced at later processing stages. More consistent modulations emerged within the EPN time window, whereas the LPC exhibited more complex interactions involving both the perceived and inherent authenticity of expressions. These findings suggest that neural responses to faces are shaped not only by facial expressions but also by subjective evaluations of authenticity. This research highlights how authenticity judgments influence social and emotional perception in digital contexts and underscores the need to investigate subsequent neural and behavioral responses, such as memory and mimicry responses to artificial faces.