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Anger-based BCI Using fNIRS Neurofeedback

Aranyi, Gabor, Charles, Fred, Cavazza, Marc (2015) Anger-based BCI Using fNIRS Neurofeedback. In: Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 8-11 November 2015, Charlotte, NC, USA. (doi:10.1145/2807442.2807447) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Functional near-infrared spectroscopy (fNIRS) holds increasing potential for Brain-Computer Interfaces (BCI) due to its portability, ease of application, robustness to movement artifacts, and relatively low cost. The use of fNIRS to support the development of affective BCI has received comparatively less attention, despite the role played by the prefrontal cortex in affective control, and the appropriateness of fNIRS to measure prefrontal activity. We present an active, fNIRS-based neurofeedback (NF) interface, which uses differential changes in oxygenation between the left and right sides of the dorsolateral prefrontal cortex to operationalize BCI input. The system is activated by users generating a state of anger, which has been previously linked to increased left prefrontal asymmetry. We have incorporated this NF interface into an experimental platform adapted from a virtual 3D narrative, in which users can express anger at a virtual character perceived as evil, causing the character to disappear progressively. Eleven subjects used the system and were able to successfully perform NF despite minimal training. Extensive analysis confirms that success was associated with the intent to express anger. This has positive implications for the design of affective BCI based on prefrontal asymmetry.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1145/2807442.2807447
Uncontrolled keywords: approach motivation, brain-computer interface, functional near-infrared spectroscopy, neurofeedback
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Marc Cavazza
Date Deposited: 19 May 2016 13:29 UTC
Last Modified: 29 May 2019 17:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/55617 (The current URI for this page, for reference purposes)
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