Happiness is unique

A latent structure of emotion recognition traits revealed by statistical model comparison

Atsunobu Suzuki, Takahiro Hoshino, Kazuo Shigemasu

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Is an individual who is sensitive to the facial expressions of a given emotion also sensitive to those of other emotions? This study addressed this simple but fundamental question by examining the latent structure underlying the sensitivity scores for basic emotions expressed by faces (Suzuki, Hoshino, & Shigemasu, 2006a). Eight hundred and five participants took part in the study, and for each participant, the sensitivity scores for happiness, fear, anger, disgust, and sadness were calculated. Variants of a single- factor model were fit to the matrix of correlations among the five sensitivity scores. A solution for the best-fit model indicated an equal contribution from the single factor to the four negative emotions (path coefficient = 0.635) and a smaller contribution to happiness (0.183). Our results imply minimally over- lapped mechanisms underlying the recognition of positive and negative emotions.

Original languageEnglish
Pages (from-to)196-201
Number of pages6
JournalPersonality and Individual Differences
Volume48
Issue number2
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

Happiness
Statistical Models
Emotions
Expressed Emotion
Facial Expression
Anger
Fear

Keywords

  • Emotion recognition
  • Facial expression
  • Happiness
  • Individual difference
  • Statistical model

ASJC Scopus subject areas

  • Psychology(all)

Cite this

Happiness is unique : A latent structure of emotion recognition traits revealed by statistical model comparison. / Suzuki, Atsunobu; Hoshino, Takahiro; Shigemasu, Kazuo.

In: Personality and Individual Differences, Vol. 48, No. 2, 2010, p. 196-201.

Research output: Contribution to journalArticle

@article{4b294402d6754eb38495efe71c407fbc,
title = "Happiness is unique: A latent structure of emotion recognition traits revealed by statistical model comparison",
abstract = "Is an individual who is sensitive to the facial expressions of a given emotion also sensitive to those of other emotions? This study addressed this simple but fundamental question by examining the latent structure underlying the sensitivity scores for basic emotions expressed by faces (Suzuki, Hoshino, & Shigemasu, 2006a). Eight hundred and five participants took part in the study, and for each participant, the sensitivity scores for happiness, fear, anger, disgust, and sadness were calculated. Variants of a single- factor model were fit to the matrix of correlations among the five sensitivity scores. A solution for the best-fit model indicated an equal contribution from the single factor to the four negative emotions (path coefficient = 0.635) and a smaller contribution to happiness (0.183). Our results imply minimally over- lapped mechanisms underlying the recognition of positive and negative emotions.",
keywords = "Emotion recognition, Facial expression, Happiness, Individual difference, Statistical model",
author = "Atsunobu Suzuki and Takahiro Hoshino and Kazuo Shigemasu",
year = "2010",
doi = "10.1016/j.paid.2009.10.006",
language = "English",
volume = "48",
pages = "196--201",
journal = "Personality and Individual Differences",
issn = "0191-8869",
publisher = "Elsevier BV",
number = "2",

}

TY - JOUR

T1 - Happiness is unique

T2 - A latent structure of emotion recognition traits revealed by statistical model comparison

AU - Suzuki, Atsunobu

AU - Hoshino, Takahiro

AU - Shigemasu, Kazuo

PY - 2010

Y1 - 2010

N2 - Is an individual who is sensitive to the facial expressions of a given emotion also sensitive to those of other emotions? This study addressed this simple but fundamental question by examining the latent structure underlying the sensitivity scores for basic emotions expressed by faces (Suzuki, Hoshino, & Shigemasu, 2006a). Eight hundred and five participants took part in the study, and for each participant, the sensitivity scores for happiness, fear, anger, disgust, and sadness were calculated. Variants of a single- factor model were fit to the matrix of correlations among the five sensitivity scores. A solution for the best-fit model indicated an equal contribution from the single factor to the four negative emotions (path coefficient = 0.635) and a smaller contribution to happiness (0.183). Our results imply minimally over- lapped mechanisms underlying the recognition of positive and negative emotions.

AB - Is an individual who is sensitive to the facial expressions of a given emotion also sensitive to those of other emotions? This study addressed this simple but fundamental question by examining the latent structure underlying the sensitivity scores for basic emotions expressed by faces (Suzuki, Hoshino, & Shigemasu, 2006a). Eight hundred and five participants took part in the study, and for each participant, the sensitivity scores for happiness, fear, anger, disgust, and sadness were calculated. Variants of a single- factor model were fit to the matrix of correlations among the five sensitivity scores. A solution for the best-fit model indicated an equal contribution from the single factor to the four negative emotions (path coefficient = 0.635) and a smaller contribution to happiness (0.183). Our results imply minimally over- lapped mechanisms underlying the recognition of positive and negative emotions.

KW - Emotion recognition

KW - Facial expression

KW - Happiness

KW - Individual difference

KW - Statistical model

UR - http://www.scopus.com/inward/record.url?scp=77954219028&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954219028&partnerID=8YFLogxK

U2 - 10.1016/j.paid.2009.10.006

DO - 10.1016/j.paid.2009.10.006

M3 - Article

VL - 48

SP - 196

EP - 201

JO - Personality and Individual Differences

JF - Personality and Individual Differences

SN - 0191-8869

IS - 2

ER -