Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

GS Rajshekar Reddy, Michael Proulx, Leanne Hirshfield, Anthony J. Ries

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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 user’s 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.
Original languageEnglish
Title of host publicationCHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, U. S. A.
PublisherAssociation for Computing Machinery
ISBN (Print)9798400703300
DOIs
Publication statusAcceptance date - 19 Jan 2024
EventACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024) - Hawaiʻi Convention Center, Honolulu, USA United States
Duration: 11 May 202416 May 2024

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024)
Country/TerritoryUSA United States
CityHonolulu
Period11/05/2416/05/24

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