Key research themes
1. How can psychophysiological measures objectively assess interoceptive processes and their relation to self-awareness?
This research theme investigates methodologies for accurately capturing interoceptive sensitivity—particularly heartbeat detection—and explores how these physiological signals intersect with constructs of self-processing, including bodily and mental self-awareness. Understanding the underlying neural and psychophysical mechanisms is critical for elucidating how internal bodily states contribute to emotional, cognitive, and identity-related processes.
2. What are the psychophysiological correlates of affective states during human-computer interaction?
This theme addresses the identification and characterization of physiological signal patterns that correspond to distinct affective states (relaxation, engagement, stress) elicited during mediated interactions. It encompasses multimodal data acquisition (e.g., EEG, electrocardiogram, galvanic skin response) and the development of standardized protocols for automatic and quantitative assessment of emotional states, which is pivotal for affective computing, ergonomic design, and neuroadaptive technologies.
3. How do intrinsic psychological dynamics manifest as temporal patterns and complexity in mental processes?
Research under this theme explores the self-organizing, nonlinear, and time-dependent nature of psychological processes uncoupled from external stimuli. It emphasizes the role of intrinsic dynamics, such as mood variability, thought fluctuations, and emotional oscillations, in shaping temporal patterns of cognition and behavior. Recognizing these endogenous patterns is essential for advancing models of psychological functioning, personality, and social interaction from a dynamical systems perspective.