A generalizable framework for assessing the role of emotion during choice

Area of Science:

• Psychology
• Cognitive Science
• Neuroscience

Background:

• The study of emotion lacks standardized measurement methods, leading to a fragmented research field.
• Existing approaches struggle to capture the dynamic and nuanced nature of emotional experiences.

Purpose of the Study:

• To develop a flexible and generalizable framework for quantifying affect over time.
• To integrate precise affect measurements with behavioral models for deeper insights into social decision-making.

Main Methods:

• Operationalized the circumplex model of affect for fine-grained, continuous measurements.
• Combined numerical affect data with established models of human behavior.

Main Results:

• The proposed method provides a flexible tool for measuring evolving affect.
• This framework allows for the inference of emotions and assessment of their behavioral impact.

Conclusions:

• This novel approach offers a unified and adaptable method for studying emotion.
• It facilitates a more precise understanding of how affect influences choice and social behavior.