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Nadia Bianchi-Berthouze

Nadia Bianchi-Berthouze

D-Index & Metrics

Computer Science

D-Index
50
Citations
9817
World Ranking
5632
National Ranking
342

Overview

Nadia Bianchi-Berthouze is affiliated with University College London in the United Kingdom. Their research spans various fields predominantly in computer science and psychology. Within these main fields, they have contributed significantly to cognitive neuroscience and social psychology, as well as to artificial intelligence, experimental and cognitive psychology, and computer vision and pattern recognition.

The scientist's research focuses on areas including action observation and synchronization, tactile and sensory interactions, musculoskeletal pain and rehabilitation, multisensory perception and integration, emotion and mood recognition, human pose and action recognition, and social robot interaction and human-robot interaction (HRI).

Recent papers authored or coauthored by Nadia Bianchi-Berthouze include:

  • The Making of Meaning through Dyadic Haptic Affective Touch, 2022, ACM Transactions on Computer-Human Interaction
  • Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data, 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Effects of pitch and musical sounds on body-representations when moving with sound, 2022, Scientific Reports
  • Touch Technology in Affective Human-, Robot-, and Virtual-Human Interactions: A Survey, 2023, Proceedings of the IEEE
  • Bridging the gap between emotion and joint action, 2021, Neuroscience & Biobehavioral Reviews

Frequent co-authors of this researcher include Temitayo Olugbade, Amanda C de C Williams, Ana Tajadura-Jiménez, Aneesha Singh, and Youngjun Cho. The collaboration frequency varies, with the highest being sixteen publications with Temitayo Olugbade.

The researcher often publishes in venues such as arXiv (Cornell University), IEEE Transactions on Affective Computing, ACM Transactions on Computer-Human Interaction, Scientific Reports, and Frontiers in Computer Science.

Best Publications

  • Affective Body Expression Perception and Recognition: A Survey

    Andrea Kleinsmith;Nadia Bianchi-Berthouze

  • Does Body Movement Engage You More in Digital Game Play? and Why?

    Nadia Bianchi-Berthouze;Whan Woong Kim;Darshak Patel

  • Understanding the role of body movement in player engagement

    Nadia Bianchi-Berthouze

  • Cross-cultural differences in recognizing affect from body posture

    Andrea Kleinsmith;P. Ravindra De Silva;Nadia Bianchi-Berthouze

  • Movement-based sports video games: Investigating motivation and gaming experience

    Marco Pasch;Marco Pasch;Nadia Bianchi-Berthouze;Betsy van Dijk;Anton Nijholt

  • What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?

    Yuan Gao;Nadia Bianchi-Berthouze;Hongying Meng

  • Automatic Recognition of Non-Acted Affective Postures

    A. Kleinsmith;N. Bianchi-Berthouze;A. Steed

  • Stirring up experience through movement in game play: effects on engagement and social behaviour

    Siân E. Lindley;James Le Couteur;Nadia L. Berthouze

  • Activity tracking: barriers, workarounds and customisation

    Daniel Harrison;Paul Marshall;Nadia Bianchi-Berthouze;Jon Bird

  • As Light as your Footsteps: Altering Walking Sounds to Change Perceived Body Weight, Emotional State and Gait

    Ana Tajadura-Jiménez;Maria Basia;Ophelia Deroy;Merle Fairhurst

  • The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset

    Min S. H. Aung;Sebastian Kaltwang;Bernardino Romera-Paredes;Brais Martinez

  • DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings

    Youngjun Cho;Nadia Bianchi-Berthouze;Simon J. Julier

  • Recognizing Affective Dimensions from Body Posture

    Andrea Kleinsmith;Nadia Bianchi-Berthouze

  • Multilinear Multitask Learning

    Bernardino Romera-Paredes;Hane Aung;Nadia Bianchi-Berthouze;Massimiliano Pontil

  • Evaluating saliency map explanations for convolutional neural networks: a user study

    Ahmed Alqaraawi;Martin Schuessler;Philipp Weiß;Enrico Costanza

  • Embodiment in a Child-Like Talking Virtual Body Influences Object Size Perception, Self-Identification, and Subsequent Real Speaking.

    Ana Tajadura-Jiménez;Ana Tajadura-Jiménez;Domna Banakou;Nadia Bianchi-Berthouze;Mel Slater

  • Modeling human affective postures: an information theoretic characterization of posture features

    P. Ravindra De Silva;Nadia Bianchi-Berthouze

  • Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging

    Youngjun Cho;Simon J. Julier;Nicolai Marquardt;Nadia Bianchi-Berthouze

  • Modeling Multimodal Expression of User's Affective Subjective Experience

    Nadia Bianchi-Berthouze;Christine L. Lisetti

  • A categorical approach to affective gesture recognition

    Nadia Bianchi-Berthouze;Andrea Kleinsmith

  • Exploiting Unrelated Tasks in Multi-Task Learning

    Bernardino Romera-Paredes;Andreas Argyriou;Nadia Berthouze;Massimiliano Pontil

  • Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain

    Aneesha Singh;Stefano Piana;Davide Pollarolo;Gualtiero Volpe

Frequent Co-Authors

Nicolai Marquardt
Nicolai Marquardt Microsoft (United States)
Simon Julier
Simon Julier University College London
Hongying Meng
Hongying Meng Brunel University London
Ophelia Deroy
Ophelia Deroy Ludwig-Maximilians-Universität München
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Frédéric Bevilacqua
Frédéric Bevilacqua Institut de Recherche et Coordination Acoustique Musique
Paul J. Watson
Paul J. Watson University of Tennessee at Chattanooga
Monica Gori
Monica Gori Italian Institute of Technology
Michel Valstar
Michel Valstar University of Nottingham
Amanda C. de C. Williams
Amanda C. de C. Williams University College London

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