This chapter examines key methodologies and case studies in human–robot interaction (HRI), emphasizing three core areas that are transforming this field: advanced synergy model-based HRI techniques, brain–computer interfaces (BCIs), and emotional intelligence in robotics. We explore how synergy-based models and human-in-the-loop dynamics facilitate effective interactions and how BCIs contribute to cognition and stress identification. Additionally, we investigate how emotional intelligence can enhance robots’ ability to understand and react to human emotions. Collectively, these domains illustrate the evolving landscape of HRI, where multimodal approaches are essential for developing systems that are both adaptive and capable of complex interactions with humans. This study aims to deepen the understanding of these interactions and pave the way for future innovations in the field.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    New Horizons in Human–Robot Interaction: Synergy, Cognition, and Emotion


    Contributors:

    Published in:

    Publication date :

    2024-10-29


    Size :

    31 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A multimodal emotion detection system during human-robot interaction

    Alonso Martín, Fernando / Malfaz Vázquez, María Ángeles / Sequeira, Joao et al. | BASE | 2013

    Free access


    Affective Touch in Human–Robot Interaction : Conveying Emotion to the Nao Robot

    Andreasson, Rebecca / Alenljung, Beatrice / Billing, Erik et al. | BASE | 2018

    Free access

    Affective touch in human–robot interaction : Conveying emotion to the Nao robot

    Andreasson, Rebecca / Alenljung, Beatrice / Billing, Erik et al. | BASE | 2018

    Free access

    Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

    Chen, Luefeng / Liu, Zhentao / Wu, Min et al. | Springer Verlag | 2021