Affective interaction with a virtual character through an fNIRS brain-computer interface
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19802
- Type
- D - Journal article
- DOI
-
10.3389/fncom.2016.00070
- Title of journal
- Frontiers in Computational Neuroscience
- Article number
- -
- First page
- 70
- Volume
- 10
- Issue
- -
- ISSN
- 1662-5188
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper investigates user engagement with a virtual agent via a Brain-Computer Interface (BCI) measuring prefrontal asymmetry through fNIRS, under a neurofeedback paradigm. The feedback channel is constituted by an Embodied Conversational Agent with full facial animation abilities, making this neurofeedback interface one of the most realistic in terms of visual feedback. Although, in this work, neurofeedback is used primarily as a BCI technology, it has still been included in the recent review of all fNIRS Neurofeedback (primarily clinical) systems by Kohl et al. [Frontiers in Neuroscience 2019] for the quality of its experimental design.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
