ArticleFrontiers in computational neuroscience2016
Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface.
Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Interpersonal neural synchrony and mental disorders: unlocking potential pathways for clinical interventions.Frontiers in neuroscience · 2024Pooled it
- The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice.Frontiers in neuroscience · 2020Pooled it
- Trial
- Construction and evaluation of a finger motor feedback system to improve finger dexterity.Frontiers in neuroergonomics · 2025Article
- Functional near-infrared spectroscopy-based neurofeedback training targeting the dorsolateral prefrontal cortex induces changes in cortico-striatal functional connectivity.Scientific reports · 2024Article
- Higher prefrontal activity based on short-term neurofeedback training can prevent working memory decline in acute stroke.Frontiers in systems neuroscience · 2023Article
- Frontal alpha asymmetry interaction with an experimental story EEG brain-computer interface.Frontiers in human neuroscience · 2022Article
- A pediatric near-infrared spectroscopy brain-computer interface based on the detection of emotional valence.Frontiers in human neuroscience · 2022Article
- Causal Analysis of Activity in Social Brain Areas During Human-Agent Conversation.Frontiers in neuroergonomics · 2022Article
- Cognitive Training with Neurofeedback Using NIRS Improved Cognitive Functions in Young Adults: Evidence from a Randomized Controlled Trial.Brain sciences · 2021Article
- Optical brain imaging and its application to neurofeedback.NeuroImage. Clinical · 2021Review
- Affective Neurofeedback Under Naturalistic Conditions: A Mini-Review of Current Achievements and Open Challenges.Frontiers in neuroergonomics · 2021Review
- A Two-Person Neuroscience Approach for Social Anxiety: A Paradigm With Interbrain Synchrony and Neurofeedback.Frontiers in psychology · 2021Review
- The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience.Annals of the New York Academy of Sciences · 2020Review
- Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction.Frontiers in robotics and AI · 2020Review
- Prefrontal Asymmetry BCI Neurofeedback Datasets.Frontiers in neuroscience · 2020Article
- fNIRS Evidence for Recognizably Different Positive Emotions.Frontiers in human neuroscience · 2019Article
- A Motivational Model of BCI-Controlled Heuristic Search.Brain sciences · 2018Article
- BCI Control of Heuristic Search Algorithms.Frontiers in neuroinformatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.