Methods

Published on 12 Sep 2023

Human and machine recognition of dynamic and static facial expressions: prototypicality, ambiguity, and complexity

in Emotion Science

Hyunwoo Kim
Dennis Küster
Jeffrey M. Girard
Eva G. Krumhuber

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1221081

2,194 views
3 citations

Original Research

Published on 12 Sep 2023

A study of dynamic emoji emotional responses based on rhythms and motion effects

in Emotion Science

Danni Yang
Mei Wang
Yutong Ren
Xiaoyan Dong
Tian Yang

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1247595

2,377 views
1 citation

Editorial

Published on 05 Sep 2023

Editorial: Discrete emotions in environmental decision-making

in Emotion Science

Eugene Y. Chan
Katharine Howie
Felix Septianto

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1272343

1,683 views

Original Research

Published on 31 Aug 2023

A face image classification method of autistic children based on the two-phase transfer learning

in Emotion Science

Ying Li
Wen-Cong Huang
Pei-Hua Song

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1226470

5,224 views
6 citations

Brief Research Report

Published on 29 Aug 2023

The inversion effect on the cubic humanness-uncanniness relation in humanlike agents

in Emotion Science

Alexander Diel
Wataru Sato
Chun-Ting Hsu
Takashi Minato

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1222279

1,685 views
1 citation

Brief Research Report

Published on 21 Aug 2023

Direct versus indirect measures of mixed emotions in predictive models: a comparison of predictive validity, multicollinearity, and the influence of confounding variables

in Emotion Science

Vincent Y. S. Oh

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1231845

2,124 views

Editorial

Published on 21 Aug 2023

Editorial: New trends in emotional intelligence: conceptualization, understanding, and assessment

in Emotion Science

Marina Fiori
Sergio Agnoli
Sarah K. Davis

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1266076

5,519 views

Original Research

Published on 17 Aug 2023

Identifying relevant asymmetry features of EEG for emotion processing

in Emotion Science

Fatima Islam Mouri
Camilo E. Valderrama
Sergio G. Camorlinga

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1217178

3,257 views
3 citations

Original Research

Published on 14 Aug 2023

Emotional regulation strategies in daily life: the intensity of emotions and regulation choice

in Emotion Science

Magdalena Kozubal
Anna Szuster
Adrianna Wielgopolan

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1218694

34,408 views
8 citations

Original Research

Published on 14 Aug 2023

Facial affect recognition in context in adults with and without TBI

in Emotion Science

Lyn S. Turkstra
Sam Hosseini-Moghaddam
Sophie Wohltjen
Sara V. Nurre
Bilge Mutlu
Melissa C. Duff

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1111686

1,973 views

Original Research

Published on 09 Aug 2023

Attention mechanisms and emotion judgment for Korean and American emotional faces: an eye movement study

in Emotion Science

Chunghee Chung
Sungmook Choi
Hyojin Jeong
Jiyeon Lee
Hyorim Lee

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1235238

2,010 views
1 citation

Original Research

Published on 31 Jul 2023

Quantifying the efficacy of an automated facial coding software using videos of parents

in Emotion Science

R. Burgess
I. Culpin
I. Costantini
H. Bould
I. Nabney
R. M. Pearson

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1223806

3,533 views
1 citation

Systematic Review

Published on 21 Jul 2023

Comparing reappraisal and acceptance strategies to understand the neural architecture of emotion regulation: a meta-analytic approach

in Emotion Science

Bianca Monachesi
Alessandro Grecucci
Parisa Ahmadi Ghomroudi
Irene Messina

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1187092

4,082 views
8 citations

Editorial

Published on 03 Jul 2023

Editorial: Emotions in digital contexts during the COVID-19 pandemic

in Emotion Science

Simone Belli
Juan C. Aceros
Angel Barrasa
Clara Selva
Barbara Sini
Antonietta Curci

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1231258

1,308 views

Original Research

Published on 09 Jun 2023

The effects of workplace friendship network centrality on deep acting

in Emotion Science

Na Yoon Kim
Hongseok Oh

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1162086

2,231 views
1 citation

Original Research

Published on 01 Jun 2023

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals

in Emotion Science

Nagisa Masuda
Ikuko Eguchi Yairi

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1141801

3,870 views
6 citations

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Articles

Human and machine recognition of dynamic and static facial expressions: prototypicality, ambiguity, and complexity

A study of dynamic emoji emotional responses based on rhythms and motion effects

Editorial: Discrete emotions in environmental decision-making

A face image classification method of autistic children based on the two-phase transfer learning

The inversion effect on the cubic humanness-uncanniness relation in humanlike agents

Direct versus indirect measures of mixed emotions in predictive models: a comparison of predictive validity, multicollinearity, and the influence of confounding variables

Editorial: New trends in emotional intelligence: conceptualization, understanding, and assessment

Identifying relevant asymmetry features of EEG for emotion processing

Emotional regulation strategies in daily life: the intensity of emotions and regulation choice

Facial affect recognition in context in adults with and without TBI

Attention mechanisms and emotion judgment for Korean and American emotional faces: an eye movement study

Quantifying the efficacy of an automated facial coding software using videos of parents

Comparing reappraisal and acceptance strategies to understand the neural architecture of emotion regulation: a meta-analytic approach

Editorial: Emotions in digital contexts during the COVID-19 pandemic

The effects of workplace friendship network centrality on deep acting

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals