World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
52
Citations
17942
World Ranking
4900
National Ranking
521

Engineering and Technology

D-Index
45
Citations
15338
World Ranking
5328
National Ranking
353

Overview

Roddy Cowie is a researcher affiliated with Queen's University Belfast in the United Kingdom. Their work primarily spans the field of psychology, with a focus on several subfields, including social psychology, experimental and cognitive psychology, artificial intelligence, developmental and educational psychology, and linguistics and language.

Their research encompasses a range of topics with particular attention to emotion and mood recognition, emotions and moral behavior, social robot interaction and human-robot interaction (HRI), humor studies and applications, language, metaphor, and cognition, artificial intelligence in games, and language development and disorders.

Recent publications authored or co-authored by Cowie include:

  • Computational research and the case for taking humor seriously, 2023, Humor - International Journal of Humor Research

Other publications from their frequent co-authors include:

  • Ethical Considerations on Affective Computing: An Overview, 2023, Proceedings of the IEEE (Laurence Devillers)
  • Cultural Perceptions of Language Development in a Population Sample of 54-Month-Old Children From Aotearoa New Zealand, 2024, American Journal of Speech-Language Pathology (Jayne Newbury)

Cowie collaborates regularly with researchers such as Laurence Devillers, Jayne Newbury, Bridget White, Kane Meissel, and Noriko Panther.

The most frequent outlets for publication include the Proceedings of the IEEE, Humor - International Journal of Humor Research, and the American Journal of Speech-Language Pathology, reflecting a blend of interdisciplinary interests that combine psychology, linguistics, and computational approaches.

Best Publications

  • Emotion recognition in human-computer interaction

    R. Cowie;E. Douglas-Cowie;N. Tsapatsoulis;G. Votsis

  • Describing the emotional states that are expressed in speech

    Roddy Cowie;Randolph R. Cornelius

  • DESCRIBING THE EMOTIONAL STATES EXPRESSED IN SPEECH

    Roddy Cowie

  • The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent

    G. McKeown;M. Valstar;R. Cowie;M. Pantic

  • FEELTRACE: an instrument for recording perceived emotion in real time

    Roddy Cowie;Ellen Douglas-Cowie;S. Savvidou;E. McMahon

  • Emotional speech: towards a new generation of databases

    Ellen Douglas-Cowie;Nick Campbell;Roddy Cowie;Peter Roach

  • AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

  • AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben

  • AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Timur Almaev

  • The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data

    Ellen Douglas-Cowie;Roddy Cowie;Ian Sneddon;Cate Cox

  • Abandoning Emotion Classes - Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies

    Martin Wöllmer;Florian Eyben;Stephan Reiter;Björn W. Schuller

  • Emotion representation, analysis and synthesis in continuous space: A survey

    Hatice Gunes;Bjorn Schuller;Maja Pantic;Roddy Cowie

  • The SEMAINE corpus of emotionally coloured character interactions

    Gary McKeown;Michel F. Valstar;Roderick Cowie;Maja Pantic

  • AVEC 2011-the first international audio/visual emotion challenge

    Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown

  • AVEC 2012: the continuous audio/visual emotion challenge

    Björn Schuller;Michel Valster;Florian Eyben;Roddy Cowie

  • AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

    Fabien Ringeval;Björn Schuller;Michel Valstar;Jonathan Gratch

  • AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

    Fabien Ringeval;Björn Schuller;Michel Valstar;Nicholas Cummins

  • APPROACHING AUTOMATIC RECOGNITION OF EMOTION FROM VOICE: A ROUGH BENCHMARK

    Sinéad McGilloway;Roddy Cowie;Ellen Douglas-Cowie;Stan Gielen

  • A new emotion database: considerations, sources and scope

    Ellen Douglas-Cowie;Roddy Cowie;[No Value] Schroeder

  • Building Autonomous Sensitive Artificial Listeners

    M. Schroder;E. Bevacqua;R. Cowie;F. Eyben

  • AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

    Fabien Ringeval;Björn Schuller;Michel Valstar;Shashank Jaiswal

  • Automatic statistical analysis of the signal and prosodic signs of emotion in speech

    R. Cowie;E. Douglas-Cowie

  • AVEC 2012: the continuous audio/visual emotion challenge - an introduction

    Björn Schuller;Michel Valstar;Roddy Cowie;Maja Pantic

Frequent Co-Authors

Maja Pantic
Maja Pantic Imperial College London
Björn Schuller
Björn Schuller Imperial College London
Michel Valstar
Michel Valstar University of Nottingham
Fabien Ringeval
Fabien Ringeval Grenoble Alpes University
Catherine Pelachaud
Catherine Pelachaud Sorbonne University
Florian Eyben
Florian Eyben Technical University of Munich
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Laurence Devillers
Laurence Devillers Sorbonne University
Dirk Heylen
Dirk Heylen University of Twente
Jonathan Gratch
Jonathan Gratch University of Southern California

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