Coherence and divergence in autonomic-subjective affective space.

Area of Science:

• Psychology
• Neuroscience
• Physiology

Background:

• Emotional states are theorized to correlate with distinct autonomic nervous system (ANS) activity patterns.
• Previous research shows limited evidence for coherence between subjective emotional reports and physiological ANS responses.
• Existing studies often use univariate or limited multivariate approaches, analyzing subjective and autonomic data separately.

Purpose of the Study:

• To investigate the coherence between subjective emotional experiences and autonomic responses using a multivariate dimensional approach.
• To construct a common autonomic-subjective affective space integrating subjective feelings with multiple physiological signals.
• To determine the extent to which autonomic activity patterns covary with subjective emotional states.

Main Methods:

• Employed a multivariate dimensional analysis on data from 51 participants during an emotion-inducing task.
• Incorporated subjective emotional responses alongside three autonomic signals: heart rate, skin conductance response, and pupil diameter.
• Developed a common affective space to model the relationship between subjective and autonomic measures.

Main Results:

• Autonomic and subjective responses were adequately represented in a two-dimensional affective space.
• The primary dimension demonstrated coherence, integrating both subjective and autonomic response contributions.
• A secondary dimension revealed significant autonomic covariance independent of subjective emotional experience.

Conclusions:

• A degree of coherence exists between subjective emotional experience and autonomic nervous system activity.
• Substantial autonomic response patterns were identified that do not correlate with subjective emotional states.
• The study provides a framework for future multimodal emotion research, allowing for integrated analysis of subjective and physiological data.