Course: PS51019A Mental Health and Wellbeing Module 1 Block 2
Instructor: Diana Omigie
Week 1
Lecture 1: What is an emotion?
Lecture 2: Biology of emotion
Lecture 3: The emotional brain
Week 2
Seminar 1: Development of emotion
Lecture 1: Interpersonal emotion dynamics
Seminar 2: Behavioral experiment
Week 3
Lecture 1: Emotion regulation
Seminar 1: Individual differences in emotional experiences
Lecture 2: Motivation
Ability to describe and illustrate three types of interpersonal affective dynamics:
Synchrony
Transmission
Co-regulation
Consider the interpersonal functions of emotional expressions, such as tears.
Definition: Emotions are dynamic systems made up of three components:
Subjective experience
Expressive behavior
Physiology
Interpersonal Nature: Emotions predominantly occur in social contexts and involve interpersonal dimensions.
Key Concepts from Parkinson (1996):
Emotions emerge through direct interactions, not just private interpretations.
Interpersonal factors cause emotions, influencing social engagement or retreat.
Butler (2011) on Interpersonal Emotion Systems:
Emotional responses are affected by social interactions, affecting both individuals simultaneously.
Relevant to various types of relationships:
Parent–child
Adult romantic
Therapist–client
Families
Work groups and peer groups
Butler (2015) identifies various interpersonal emotional dynamics:
Synchrony: Emotions rising and falling in unison.
Transmission: Emotions influencing each other over time.
Co-regulation: Emotional convergence or divergence of partners' emotions.
Definition: Simultaneously experiencing the same stimuli and emotional reactions.
Examples: Watching a film together may lead to shared emotional experiences and co-construction of emotional meaning.
Anderson et al. (2003) observed that dating partners and college roommates develop similar emotional responses over time.
Study Findings:
Participants with less power in relationships adapt their emotions more to their partners.
Cross-lagged correlations indicated significant emotional convergence based on power dynamics.
Findings by Anderson et al. (2003) showed that partners with similar emotional responses have stronger relationship cohesion and lower dissolution rates.
Factors influencing convergence:
Similar appraisal patterns
Responding similarly even when apart
Emotional contagion in close relationships with shared goals.
Appraisal Theories (Citations): Arnold (1960), Lazarus (1991), etc.
Definition: Responding to others' emotional states and behaviors impacting future feelings.
Levenson & Gottman (1983) examined physiological and affective patterns in marital satisfaction among 30 couples:
Measured multiple physiological responses to establish affect reciprocity.
Key Results:
60% of marital satisfaction variance was linked to physiological patterns.
Distressed couples demonstrated greater linkage and reciprocity of negative affect.
Snyder et al. (2003): Studied impact of parental responses on children's anger and antisocial behaviors:
Coded anger displays and assessed antisocial behavior longitudinally.
Findings indicated that parents' emotional responses significantly influenced children's anger and behaviors.
People often seek to manage their partner's emotions, which can be both conscious and unconscious.
Examples:
Positive: Holding hands to reduce stress.
Negative: Co-rumination leading to increased anxiety.
Dixon-Gordon et al. (2015) noted that emotional regulation varies by:
Target: Self vs. Others
Intention: Intentional vs. Unintentional
Levy-Gigi & Shamay-Tsoory (2017):
Examined effectiveness of inter-partner vs. self-regulated strategies on distress reduction.
Findings: Regulatory strategies chosen by partners are more effective in reducing distress than personal strategies when the partner has an understanding perspective.
Chang et al. (2022): Explored gratitude interactions within couples and its impact on relationship satisfaction:
Situational gratitude uniquely predicted increases in relationship satisfaction.
Zickfeld et al. (2021): Emotional crying can trigger social support intentions from others.
Empathy involves sharing or responding appropriately to another's emotional states.
Techniques measure responses to stimuli depicting emotions.
Geiger et al. (2024): Found that facets of empathy correlate with interpersonal emotional regulation goals.
Pfeifer et al. (2008): Studied the mirror neuron system's role in children's empathy and interpersonal skills.
MNS activity was positively correlated with children's empathetic behavior and interpersonal competence measures.
Emotions are primarily social and driven by interpersonal dynamics, including synchrony, transmission, and co-regulation.
Emotional expressions have significant effects on relationships, and empathy plays a crucial role in emotional regulation.
Butler (2015). Interpersonal affect dynamics: It takes two (and time) to tango. Emotion Review, 7(4), 336-341.
Additional studies for deeper understanding of interpersonal emotions and dynamics.
Comprehensive citations for the studies mentioned in the lectures, including significant research by Butler, Levenson & Gottman, etc.
Further readings supporting the concepts discussed.