Context-aware experience sampling reveals the scale of variation in affective experience

Abstract

Emotion research typically searches for consistency and specificity in physiological activity across instances of an emotion category, such as anger or fear, yet studies to date have observed more variation than expected. In the present study, we adopt an alternative approach, searching inductively for structure within variation, both within and across participants. Following a novel, physiologically-triggered experience sampling procedure, participants’ self-reports and peripheral physiological activity were recorded when substantial changes in cardiac activity occurred in the absence of movement. Unsupervised clustering analyses revealed variability in the number and nature of patterns of physiological activity that recurred within individuals, as well as in the affect ratings and emotion labels associated with each pattern. There were also broad patterns that recurred across individuals. These findings support a constructionist account of emotion which, drawing on Darwin, proposes that emotion categories are populations of variable instances tied to situation-specific needs.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 27, 2020
Source ID
10.1038/s41598-020-69180-y

Entities

People

  • Catie Nielson
  • Jennifer Dy
  • Jolie B. Wormwood
  • Karen S Quigley
  • Katie Hoemann
  • Lisa Feldman Barrett
  • Madeleine Devlin
  • Mallory J. Feldman
  • Zulqarnain Khan

Organizations

  • National Cancer Institute
  • National Heart, Lung, and Blood Institute
  • National Institute of Mental Health
  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Fields of Study

  • Psychology

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.