Skip to main content

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

Aranyi, G., Pécune, F., Charles, F., Pélachaud, C. and Cavazza, M., 2016. Affective Interaction with a Virtual Character through an fNIRS Brain-Computer Interface. Frontiers in Computational Neuroscience, 10 (70).

Full text available as:

fncom-10-00070.pdf - Published Version
Available under License Creative Commons Attribution.


DOI: 10.3389/fncom.2016.00070


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 neural network. We carried out an experiment with 18 subjects, which demonstrated that 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 consistent with their projected mental disposition. This interaction paradigm is particularly 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.

Item Type:Article
Uncontrolled Keywords:brain-computer interfaces; fNIRS; neurofeedback; affective computing; virtual agents
Group:Faculty of Science & Technology
ID Code:30081
Deposited By: Symplectic RT2
Deposited On:05 Dec 2017 09:28
Last Modified:14 Mar 2022 14:08


Downloads per month over past year

More statistics for this item...
Repository Staff Only -