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Journal Articles Frontiers in Computational Neuroscience Year : 2016

Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface

Abstract

Affective brain-computer interfaces (BCI) harness Neuroscience knowledge to develop affective interaction from first principles. In this article, we explore affective engagement with a virtual agent through Neurofeedback (NF). We report an experiment where subjects engage with a virtual agent by expressing positive attitudes towards her under a NF paradigm. We use for affective input the asymmetric activity in the dorsolateral prefrontal cortex (DL-PFC), which has been previously found to be related to the high-level affective-motivational dimension of approach/avoidance. The magnitude of left-asymmetric DL-PFC activity, measured using functional near infrared spectroscopy (fNIRS) and treated as a proxy for approach, is mapped onto a control mechanism for the virtual agent’s facial expressions, in which action units (AUs) are activated through a neuralnetwork.Wecarriedoutanexperimentwith18subjects,whichdemonstratedthat subjects are able to successfully engage with the virtual agent by controlling their mental disposition through NF, and that they perceived the agent’s responses as realistic and consistentwiththeirprojectedmentaldisposition.Thisinteractionparadigmisparticularly relevant in the case of affective BCI as it facilitates the volitional activation of specific areas normally not under conscious control. Overall, our contribution reconciles a model of affect derived from brain metabolic data with an ecologically valid, yet computationally controllable, virtual affective communication environment.
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Dates and versions

hal-02287538 , version 1 (13-09-2019)

Identifiers

  • HAL Id : hal-02287538 , version 1

Cite

G. Aranyi, Florian Pecune, Fred Charles, Catherine Pelachaud, Marc Cavazza. Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface. Frontiers in Computational Neuroscience, 2016. ⟨hal-02287538⟩
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