Motivation and emotion/Lectures/Aspects of emotion
Lecture 08: Aspects of emotion
This is the eighth lecture for the motivation and emotion unit of study.

What causes emotion?
Biology?
Cognition?
Sociality?
Biology?
Cognition?
Sociality?
Overview
This lecture:
- discusses biological, cognitive, and social psychological aspects of emotion
- considers the potential of affective computing
Take-home messages:
- Biology and cognition work together to generate emotion
- Facial expressions can influence emotional state
- Other people are the source of most of our emotions
- Emotions are contagious
- Computers are increasingly able to detect, imitate, and respond to emotion
Outline
- Biological
- Cognitive
- Social
- Affective computing
Biological aspects of emotion


- What is the role of the body in emotion (see Figure 1)?
- Does bodily reaction follow emotion?
- Or does bodily reaction lead to emotion?
- James–Lange theory of emotion:
- Sequence
- Stimulus → Bodily reaction → Emotion e.g.,
- Sudden cold shower → Increased heart rate → Surprise? Fear?
- Emotion is a way of making sense of bodily changes
- Criticisms
- Boldy reactions are part of a general response that does not vary much between emotions
- Emotional experiences occur more quickly than physiological reactions
- Contemporary perspective
- Distinct physiological differences are evident for some emotions, but only a few have distinct autonomic nervous system patterns
- Emotions recruit bodily reactions to facilitate adaptative behaviours such as fighting, fleeing, and nurturing
- Sequence
- Brain activations for specific emotions
- Distinct neural circuits underlie the core emotions of joy, fear, rage, and anxiety (Gray)
- Behavioural approach system
- Fight or flight system
- Behavioural inhibition system
- Neuroscience studies of brain activity during emotional experiences map core emotions to distinct patterns of neural activity
- Distinct neural circuits underlie the core emotions of joy, fear, rage, and anxiety (Gray)
- Facial feedback hypothesis
- The facial feedback hypothesis (FFH) proposes that emotional experience arises from interpretation of one's facial expression
- Strong view: FF causes emotion
- Weak view: FF modifies emotion
- Critics: FF effect is small
- Facial expression of core emotions is cross-culturally universal (see Figure 2)
- Some emotions (e.g., joy) are easier to recognise than others (e.g., fear)
- Some cultures (e.g., Western) are better at recognising emotion (e.g., because they focus on the mouth) than other cultures (e.g., Eastern because they focus on the eyes)
- The facial feedback hypothesis (FFH) proposes that emotional experience arises from interpretation of one's facial expression
Cognitive aspects of emotion
- Biology alone doesn't explain all aspects of emotion, particularly complex emotions such as hope, pride, envy, and gratitude
- Appraisal
- Appraisals, rather than events per se, elicit emotion
- Appraisals evaluates significance of events
- Primary: "Is this event significant to me and my well-being?"; if yes, "Is the event good (beneficial) or bad (harmful)?"
- Secondary: "Can I cope with this situation?" → emotion (e.g., liking/disliking) → approach vs. withdrawal
- Complex appraisal models account for approx. 2/3rds of emotional variability by mapping perceived types of benefit/harm/threat to specific emotions
- Emotion knowledge
- Ability to differentiate different types and intensities of emotion
- Part of emotional intelligence
- Can be taught and developed
- Attribution
- Different explanations for why life events occur leads to different emotional experiences
- Primary: Good or bad?
- Secondary: Cause?
- Example:
- Primary: Good event
- Secondary: Internal cause
- Emotion: Pride
- Different explanations for why life events occur leads to different emotional experiences
Social aspects of emotion

- Emotions are socially intense experiences (see Figure 3)
- Through emotional expression, we signal our needs to others
- Social experiences are the most frequent source of day-to-day emotion; these experiences:
- bring us together (e.g., joy and gratitude) and
- push us apart (e.g., anger, contempt, and schadenfreude)
- Emotional contagion: People tend to converge on similar emotions due to:
- Mirror neurons fire in response to observing others' emotion
- People tend to mimic others' emotional expressions
- Social sharing of emotion provides conversational context for people to re-experience and recount their emotional experiences
- Social-affective sharing: Listening, comforting, empathy, support → provides temporary relief
- Cognitive sharing: Reframing, meaning-making, reprioritising → stimulates cognitive work for emotional healing and recovery
- Common view of emotions as short-lived is challenged by social research about emotion because emotional experiences tend to be retold and relived through social sharing, contributing to emotional continuity over days, weeks, and even years
Affective computing
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- Affective computing is an interdisciplinary field which studies how artificial intelligence can recognise and respond to human emotion
- If emotions show ANS specificity, then sensors built into electronic devices can monitor human and adjust accordingly (e.g., empathically) (see Figure 4)
Readings
- Chapter 13: Aspects of emotion (Reeve, 2018) or Chapter 12: Aspects of emotion (Reeve, 2024)
Multimedia
- Emotions revealed (KQED QUEST, 2008, YouTube) (11:01 mins): Explains Paul Ekman's work on codifying the intricate ways in which emotions are revealed through facial expressions
- Why we can't not smile (Epic Science, 2014, YouTube) (2:22 mins): Explores unconscious emotional mimicry in relation to smiling
- How China is using artificial intelligence in classrooms (The Wall Street Journal, 2020, YouTube) (5:43 mins): Shows real-world application of emotion AI being used to monitor students, illustrating potentials and risks of affective computing
Slides
- Aspects of emotion (Google Slides)
See also
- Lectures
- Nature of emotion (Previous lecture)
- Individual emotions (Next lecture)
- Tutorial
- Measuring emotion (Tutorial)
- Wikiversity
- Affective computing (Book chapter category)
- Appraisal and emotion (Book chapter, 2014)
- Facial Action Coding System (Book chapter, 2014)
- Smiling and emotion (Book chapter, 2023)
- Wikipedia
Topics
- Affective computing
- Appraisal
- Attribution
- Gray's biopsychological theory of personality
- James–Lange theory
- Sophia (robot)
People
Recording
- Lecture 08 (2025)
References
Gray, J. A. (1987). The psychology of fear and stress (2nd ed.). Cambridge University Press.
External links
- Paul Ekman Group (paulekman.com)
- The precise meaning of emotion words is different around the world (bps.org.uk)
- Multimedia
- Can humanoid robots like Ameca develop emotions? (Genz Ai Revolution, 2025, YouTube) (3:13 mins)
- In your face (Mind Field Ep 7, YouTube, 24:33 mins)
- Meet Sophia, World's first AI humanoid robot (Tony Robbins, 2020, YouTube; 9:55 mins): Interview with an AI robot about life, the universe, and everything
- Robots that show emotion (David Hanson, TED talk, 7:29 mins)
- The hidden power of smiling (Ron Gutman, TED talk; 7:26 mins)
- Why we have an emotional connection to robots (Kate Darling, 2018, TED talk; 11:51 mins)