Paper
7 March 2022 Assessing internal, external and covert visuospatial attention in AR using brain sensing: a pilot study
Nataliya Kosmyna, Pattie Maes
Author Affiliations +
Abstract
Most research works featuring AR and Brain-Computer Interface (BCI) systems are not taking advantage of the opportunities to integrate the two planes of data. In this project, we propose a prototype which combines an existing AR headset HoloLens 2 with a Brain-Computer Interfaces (BCI) system and we perform several tasks to validate this concept. In the first experiment, we reduced the distraction of the user by including information about the current attentional state. A simple game was designed for the Microsoft HoloLens 2, which changed in real time according to the user’s state of attention measured via electroencephalography (EEG). The system only responded if the attentional orientation was classified as "external." Fourteen users tested the attention-aware system; we show that the augmentation of the interface improved the usability of the system. We conclude that more systems would benefit from clearly visualizing the user’s ongoing attentional state as well as further efficient integration of AR and BCI headsets. In the second prototype we propose a system based on covert visuospatial attention (CVSA) – the process of focusing attention on different regions of the visual field without overt eye movements. In the experiment we did not rely on any stimulusdriven responses. Fourteen participants were able to test the system over the course of two days. To the best of our knowledge, this system is the first AR EEG-BCI integrated prototype that explores the complementary features of the AR headset like the HoloLens 2 and the CVSA paradigm.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nataliya Kosmyna and Pattie Maes "Assessing internal, external and covert visuospatial attention in AR using brain sensing: a pilot study", Proc. SPIE 11931, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) III, 1193106 (7 March 2022); https://doi.org/10.1117/12.2613493
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KEYWORDS
Augmented reality

Electroencephalography

Brain-machine interfaces

Prototyping

Head-mounted displays

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