Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR
G. S. Rajshekar ReddyiD, Michael J. ProulxiD, Leanne HirshfieldiD, Anthony J. RiesiD
Abstract
Gaze-assisted interaction techniques enable intuitive selections without requiring manual pointing but can result in unintended selections, known as Midas touch. A confirmation trigger eliminates this issue but requires additional physical and conscious user effort. Brain-computer interfaces (BCIs), particularly passive BCIs harnessing anticipatory potentials such as the Stimulus-Preceding Negativity (SPN) - evoked when users anticipate a forthcoming stimulus - present an effortless implicit solution for selection confirmation. Within a VR context, our research uniquely demonstrates that SPN has the potential to decode intent towards the visually focused target. We reinforce the scientific understanding of its mechanism by addressing a confounding factor - we demonstrate that the SPN is driven by the users intent to select the target, not by the stimulus feedback itself. Furthermore, we examine the effect of familiarly placed targets, finding that SPN may be evoked quicker as users acclimatize to target locations; a key insight for everyday BCIs. CCS CONCEPTSO_LIHuman-centered computing [->] Virtual reality; Mixed / augmented reality; Accessibility technologies; Interaction techniques. C_LI ACM Reference FormatG. S. Rajshekar Reddy, Michael J. Proulx, Leanne Hirshfield, and Anthony J. Ries. 2024. Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 24), May 11-16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 17 pages. https://doi.org/10.1145/3613904.3641925
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 15
- FWCI
- 11.78
- Field percentile
- top 1%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Seamless interaction in VR: decoding user intent with eye gaze and passive brain-computer interfaces
Yanzhao Pan, Lea Rabe, … Marius Klug·bioRxiv·Jul 10, 2026
- Decoding the covert shift of spatial attention from electroencephalographic signals permits reliable control of a brain-computer interface
Christoph Reichert, Stefan Dürschmid, … Hermann Hinrichs·Journal of Neural EngineeringPeer-reviewed·Sep 9, 2020
- A P300 brain-computer interface with a reduced visual field
Luiza Kirasirova, Vladimir Bulanov, … Mikhail Lebedev·Frontiers in NeurosciencePeer-reviewed·Dec 3, 2020
- The Effect of Visual Impairment on the Controllability of a Brain-Computer Interface Using Visual Spatial Attention
Christoph Reichert, Mircea Ariel Schoenfeld, Stefan Dürschmid·bioRxiv·Sep 4, 2026
- Leveraging Grating-Based Flickers: A Leap Toward Practical, Visually Comfortable, and High-Performance Dry EEG Code-VEP BCI
Frédéric Dehais, Kalou Cabrera Castillos, … Pierre Clisson·bioRxiv·Jul 17, 2024
- Brain Control of a Computer Cursor for Online Target Selection - A Non-Invasive BCI for Continuous Movement Decoding
Markus R. Crell, Kyriaki Kostoglou, … Gernot R Muller-Putz·bioRxiv·Jun 29, 2026