The human dynamic clamp as a paradigm for social interaction

Guillaume Dumas, Gonzalo C. Guzman, Emmanuelle Tognoli, J.A. Scott Kelso

    Research output: Contribution to journalArticle

    62 Citations (Scopus)

    Abstract

    Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject’s own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual “teacher.” We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.
    LanguageEnglish
    JournalProceedings of the National Academy of Sciences
    DOIs
    Publication statusPublished - 11 Aug 2014

    Fingerprint

    Clamping devices
    Brain
    Mathematical models

    Keywords

    • human-machine interface
    • artificial agent
    • computational social
    • neuroscience
    • multiscale
    • dynamical systems

    Cite this

    Dumas, Guillaume ; Guzman, Gonzalo C. ; Tognoli, Emmanuelle ; Kelso, J.A. Scott. / The human dynamic clamp as a paradigm for social interaction. In: Proceedings of the National Academy of Sciences. 2014.
    @article{432483f035b34b2ea04a82107f54e0c8,
    title = "The human dynamic clamp as a paradigm for social interaction",
    abstract = "Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject’s own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual “teacher.” We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.",
    keywords = "human-machine interface, artificial agent, computational social, neuroscience, multiscale, dynamical systems",
    author = "Guillaume Dumas and Guzman, {Gonzalo C.} and Emmanuelle Tognoli and Kelso, {J.A. Scott}",
    year = "2014",
    month = "8",
    day = "11",
    doi = "10.1073/pnas.1407486111",
    language = "English",
    journal = "Proceedings of the National Academy of Sciences",
    issn = "0027-8424",

    }

    The human dynamic clamp as a paradigm for social interaction. / Dumas, Guillaume; Guzman, Gonzalo C.; Tognoli, Emmanuelle; Kelso, J.A. Scott.

    In: Proceedings of the National Academy of Sciences, 11.08.2014.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - The human dynamic clamp as a paradigm for social interaction

    AU - Dumas, Guillaume

    AU - Guzman, Gonzalo C.

    AU - Tognoli, Emmanuelle

    AU - Kelso, J.A. Scott

    PY - 2014/8/11

    Y1 - 2014/8/11

    N2 - Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject’s own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual “teacher.” We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.

    AB - Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject’s own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual “teacher.” We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.

    KW - human-machine interface

    KW - artificial agent

    KW - computational social

    KW - neuroscience

    KW - multiscale

    KW - dynamical systems

    U2 - 10.1073/pnas.1407486111

    DO - 10.1073/pnas.1407486111

    M3 - Article

    JO - Proceedings of the National Academy of Sciences

    T2 - Proceedings of the National Academy of Sciences

    JF - Proceedings of the National Academy of Sciences

    SN - 0027-8424

    ER -