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Petri Laukka

Professor

Uppsala University

Sweden

Research Interests

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About

Petri Laukka is a Professor at Stockholm universitet Psykologiska institutionen in Sweden. His research focuses on multimodal emotion recognition, with recent publications exploring topics such as emotion recognition training in adolescents, the impact of hormonal fluctuations on emotion recognition abilities, and the accuracy of eyewitness testimonies. Laukka also investigates the neural correlates of emotion recognition and the implications for psychotherapy education.

Articles (21)

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2026

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Collaborators (12)

Andreas Frick

Assistant Professor

Uppsala University

SWEDEN

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László Harmat

Linnaeus University

SWEDEN

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Marianne Kristiansson

Karolinska Institutet

SWEDEN

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Lennart Hogman

Researcher, Senior lecturer

Stockholm University

SWEDEN

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Thomas Rockstuhl

Assoc Prof

Nanyang Technological University (NTU)

SINGAPORE

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Agneta Herlitz

Professor

Karolinska Institutet

SWEDEN

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Viveka Lyberg-Åhlander

Head of research

Åbo Akademi University

FINLAND

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Hillary Anger Elfenbein

Washington University in St. Louis

UNITED STATES

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Håkan Fischer

professor

Karolinska Institutet

SWEDEN

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Birgitta Sahlen

Professor

Lund University

SWEDEN

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Anette GM Johansson

Karolinska Institutet

SWEDEN

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Eva Bojner Horwitz

Professor

Karolinska Institutet

SWEDEN

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Petri Laukka

Research Interests

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Articles (21)

Emotion recognition misclassification patterns in individuals with psychotic spectrum disorders and history of interpersonal aggression

Dynamic multimodal expressions support inference of both presence and relative salience of blended emotions

Not all Blends are Equal: The BlEmoRe Dataset of Blended Emotion Expressions with Relative Salience Annotations

Spatial ability, episodic memory, and emotion recognition in women with congenital adrenal hyperplasia or complete androgen insensitivity syndrome

Feasibility of internet-based multimodal emotion recognition training in adolescents with and without autism: A pilot study

Vocal cues to eyewitness accuracy are detected by listeners with and without language comprehension

Machine Learning Predicts Accuracy in Eyewitnesses’ Voices

Neural correlates of individual differences in multimodal emotion recognition ability

Estrogen predicts multimodal emotion recognition accuracy across the menstrual cycle

Blended Emotions can be Accurately Recognized from Dynamic Facial and Vocal Expressions

Trainee psychotherapists’ emotion recognition accuracy improves after training: emotion recognition training as a tool for psychotherapy education

Vocal characteristics of accuracy in eyewitness testimony

Making space for singing in the 21st century classroom – A focus group interview study with primary school music teachers in Sweden

Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: no improvement after psychotherapy training

What Do We Hear in the Voice? An Open-Ended Judgment Study of Emotional Speech Prosody

Investigating individual differences in emotion recognition ability using the ERAM test

Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions

Effects of aging on emotion recognition from dynamic multimodal expressions and vocalizations

Comparing supervised and unsupervised approaches to multimodal emotion recognition

Spontaneous vocal expressions from everyday life convey discrete emotions to listeners.

Cross-Cultural Emotion Recognition and In-Group Advantage in Vocal Expression: A Meta-Analysis

Collaborators (12)

Andreas Frick

László Harmat

Marianne Kristiansson

Lennart Hogman

Thomas Rockstuhl

Agneta Herlitz

Viveka Lyberg-Åhlander

Hillary Anger Elfenbein

Håkan Fischer

Birgitta Sahlen

Anette GM Johansson

Eva Bojner Horwitz

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