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Journal on Multimodal User Interfaces

, Volume 13, Issue 1, pp 19–30 | Cite as

The sense of social agency in gaze leading

  • Samuel Recht
  • Ouriel GrynszpanEmail author
Original Paper

Abstract

Social interactions entail reciprocal reactions where one’s communicative acts triggers responses in others. Fluent interpersonal exchange relies on the ability to discriminate behaviors produced by others that are responses to one’s actions, thus involving a social sense of agency. Given the pivotal role of gaze in human communication, we propose to use gaze following as a model for studying the sense of agency in social actions. The experiment investigates the influence of sensory expertise and timing of the action’s effects by comparing feedback provided by a human avatar versus a nonfigurative animated object (an arrow) and by varying the control exerted by participants’ gaze on the feedback (avatar vs arrow). Results revealed a linear relationship between the judgement of agency and feedback latencies and higher agency discriminating performances with the avatar. These outcomes suggest that classical cognitive accounts of the sense of agency can be expanded to the realm of social actions and provide important information for designing virtual agents to train social gaze interactions.

Keywords

Agency Social cognition Forward model Eye-tracking Avatar 

Notes

Acknowledgements

This work was performed within the Labex SMART (ANR-11-LABX-65) supported by French state funds managed by the ANR within the Investissements d’Avenir programme under Reference ANR-11-IDEX-0004-02. This work was also supported by a grant from La Fondation Orange (Project #71/2012, coordinator: O. Grynszpan). The data was collected in collaboration with the Centre Multidisciplinaire de Sciences Comportementales Sorbonne Universités-INSEAD. The funding sources were not involved in the study design, data processing, interpretation or writing of the article.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CNRS, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)Université Pierre et Marie CurieParisFrance

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