Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations

People use hundreds of words to describe emotions and related mental states. Yet a large psychological literature and our own intuition argue for a simpler structure that underlies these attributions, since most of the words are antonyms or synonyms that map onto a few basic dimensions or categories. However, there is surprisingly little agreement on their number or interpretation: core affect is generally thought to be two-dimensional; emotion categories vary from six to over twenty; and according to some theories emotion concepts are much higher dimensional since they flexibly incorporate context. Although many of these debates originate in theoretical disagreements, we here focus on methodological sources: how stimuli are selected, tasks are chosen, and dimensionality reduction algorithms are used. We provide a survey of popular methods, their advantages and limitations, and recommendations for best practices.

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Publication Details

Journal
Affective Science
Published
2025-12-01
DOI
https://doi.org/10.1007/s42761-025-00337-6
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations

Ralph Adolphs, Ruoying Zheng, Junsong Lu, Yanting Han et al.
Affective Science
Emotion and Mood Recognition
article

Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations

Ralph Adolphs, Ruoying Zheng, Junsong Lu, Yanting Han, Chujun Lin, Ümit Keleş, Xu Yue
article en

Abstract

People use hundreds of words to describe emotions and related mental states. Yet a large psychological literature and our own intuition argue for a simpler structure that underlies these attributions, since most of the words are antonyms or synonyms that map onto a few basic dimensions or categories. However, there is surprisingly little agreement on their number or interpretation: core affect is generally thought to be two-dimensional; emotion categories vary from six to over twenty; and according to some theories emotion concepts are much higher dimensional since they flexibly incorporate context. Although many of these debates originate in theoretical disagreements, we here focus on methodological sources: how stimuli are selected, tasks are chosen, and dimensionality reduction algorithms are used. We provide a survey of popular methods, their advantages and limitations, and recommendations for best practices.

Affective ScienceVol. 6(4)
California Institute of Technology (US), University of California San Diego (US), Columbia University (US)
Openalex Percentile: Top 57%
Emotion and Mood Recognition
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Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations — Ralph Adolphs, Ruoying Zheng, et al. · Affective Science (2025) | TGRS Research Map | TGRS