Affectivism and the Emotional Elephant: How a Componential Approach Can Reconcile Opposing Theories to Serve the Future of Affective Sciences

This article discusses how the <i>affectivism framework</i> and the <i>componential approach</i> to emotion may serve the future of affective sciences. A particular aim of the article is to show that an appraisal-based componential approach to emotion can help reconcile opposing theories. It begins by contextualizing the evolution of emotion science within the framework of affectivism, acknowledging that the significant epistemological differences between various theories have paradoxically spurred interest in studying emotion across various perspectives and disciplines. If affectivism is regarded as the pursuit of a deeper understanding of not only emotions and other affective processes but also cognitive and behavioral processes, then its success can be partly attributed to the existence of multiple approaches, allowing each discipline and perspective to advance using the most suitable theory and methodology. We contend that a componential approach reveals that the five principal theories of emotion have each focused on one of five components of emotion. Overall, based on the analysis of several articles published in the <i>special issue on the future of affective science,</i> we argue that affective scientists are well equipped not only to build a future in which conceptual and methodological tools will be used to test diverging hypotheses between competing theories but also to acknowledge and celebrate where such theories converge.

Authors

Institutions

Publication Details

Journal
Affective Science
Published
2024-09-01
DOI
https://doi.org/10.1007/s42761-024-00272-y
Citations
4
Primary Topic
Emotions and Moral Behavior
Type
article
Field-Weighted Citation Impact
2.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Affectivism and the Emotional Elephant: How a Componential Approach Can Reconcile Opposing Theories to Serve the Future of Affective Sciences

Daniel Dukes, David Sander
4 citations
Affective Science
Emotions and Moral Behavior
2.57
article

Affectivism and the Emotional Elephant: How a Componential Approach Can Reconcile Opposing Theories to Serve the Future of Affective Sciences

Daniel Dukes, David Sander
article en
4 citations

Abstract

This article discusses how the <i>affectivism framework</i> and the <i>componential approach</i> to emotion may serve the future of affective sciences. A particular aim of the article is to show that an appraisal-based componential approach to emotion can help reconcile opposing theories. It begins by contextualizing the evolution of emotion science within the framework of affectivism, acknowledging that the significant epistemological differences between various theories have paradoxically spurred interest in studying emotion across various perspectives and disciplines. If affectivism is regarded as the pursuit of a deeper understanding of not only emotions and other affective processes but also cognitive and behavioral processes, then its success can be partly attributed to the existence of multiple approaches, allowing each discipline and perspective to advance using the most suitable theory and methodology. We contend that a componential approach reveals that the five principal theories of emotion have each focused on one of five components of emotion. Overall, based on the analysis of several articles published in the <i>special issue on the future of affective science,</i> we argue that affective scientists are well equipped not only to build a future in which conceptual and methodological tools will be used to test diverging hypotheses between competing theories but also to acknowledge and celebrate where such theories converge.

Affective ScienceVol. 5(3)
University of Geneva (CH)
Université de Genève
Openalex Percentile: Top 11%
Emotions and Moral Behavior
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.