Dimensional Models
Dimensional models of emotion provide a framework to understand and classify emotions based on a few fundamental dimensions rather than discrete categories. These models have gained prominence as they offer a nuanced view of the multifaceted nature of emotions, capturing the complexity and variability inherent within emotional experiences.
Valence-Arousal Model
One of the most widely referenced dimensional models is the Valence-Arousal Model. This model posits that emotions can be described using two dimensions:
- Valence: The positivity or negativity of an emotion. For instance, happiness has a high valence, whereas sadness has a low valence.
- Arousal: The intensity or activation level of an emotion. Excitement is an emotion with high arousal, while boredom has low arousal.
PAD Emotional State Model
The PAD Emotional State Model extends the valence-arousal framework by introducing a third dimension:
- Pleasure (P)
- Arousal (A)
- Dominance (D): This dimension captures the degree of control or influence an individual feels over a situation. For example, anger might be associated with high dominance, while fear might align with low dominance.
Developed by Albert Mehrabian and James A. Russell, this model has applications in various fields, including marketing, where it is used to understand consumer emotions, and virtual reality, where it helps in the design of animated characters that express emotions effectively.
Circumplex Model of Affect
Proposed by James Russell, the Circumplex Model of Affect visualizes emotions on a two-dimensional circular space where:
- One axis represents valence (pleasure-displeasure)
- The other represents arousal (activation-deactivation)
Emotions are mapped around the circumference, offering a continuous representation of emotional states. For example, joy is positioned at high valence and arousal, while contentment is high valence but low arousal.
Theory of Constructed Emotion
Lisa Feldman Barrett's Theory of Constructed Emotion challenges traditional views by suggesting that emotions are not fixed, universal categories but are constructed by the brain based on individual experiences and contextual factors. This theory aligns with dimensional models by emphasizing the continuous nature of emotional experiences and the role of core affect, which are pre-cognitive, raw feelings of pleasure-displeasure and activation-deactivation.
Lövheim Cube of Emotion
The Lövheim Cube of Emotions offers a three-dimensional model based on the interaction of neurotransmitters:
- Dopamine
- Serotonin
- Noradrenaline
Each axis represents the level of these neurotransmitters, and their combinations map onto basic emotions. For example, high levels of dopamine and noradrenaline with low serotonin correspond to anger, while high levels of all three neurotransmitters correspond to happiness.
Applications and Implications
Dimensional models have significant implications across various domains:
- In psychology(/p/psychology), they provide a more flexible and comprehensive framework for studying emotions.
- In affective computing(/p/affective-computing), these models help in the development of systems that can recognize and simulate human emotions.
- In neuroscience(/p/neuroscience), they offer insights into the neural correlates of emotional experiences.
Related Topics
Understanding dimensional models of emotion enriches our comprehension of the intricate and dynamic nature of human emotional experiences.