Evaluating Gaze Interactions within AR for Nonspeaking Autistic Users
Ahmadreza Nazari, Lorans Alabood, Molly Kay Rathbun, Vikram K. Jaswal, Diwakar Krishnamurthy · 2024
Nonspeaking autistic individuals often face significant inclusion barriers in various aspects of life, mainly due to a lack of effective communication means. Specialized computer software, particularly delivered via Augmented Reality (AR), offers a promising and accessible way to improve their ability to engage with the world. While research has explored near-hand interactions within AR for this population, gaze-based interactions remain unexamined. Given the fine motor skill requirements and potential for fatigue associated with near-hand interactions, there is a pressing need to investigate the potential of gaze interactions as a more accessible option. This paper presents a study investigating the feasibility of eye gaze interactions within an AR environment for nonspeaking autistic individuals. We utilized the HoloLens 2 to create an eye gaze-based interactive system, enabling users to select targets either by fixating their gaze for a fixed period or by gazing at a target and triggering selection with a physical button (referred to as a ‘clicker’). We developed a system called HoloGaze that allows a caregiver to join an AR session to train an autistic individual in gaze-based interactions as appropriate. Using HoloGaze, we conducted a study involving 14 nonspeaking autistic participants. The study had several phases, including tolerance testing, calibration, gaze training, and interacting with a complex interface: a virtual letterboard. All but one participant were able to wear the device and complete the system’s default eye calibration; 10 participants completed all training phases that required them to select targets using gaze only or gaze-click. Interestingly, the 7 users who chose to continue to the testing phase with gaze-click were much more successful than those who chose to continue with gaze alone. We also report on challenges and improvements needed for future gaze-based interactive AR systems for this population. Our findings pave the way for new opportunities for specialized AR solutions tailored to the needs of this under-served and under-researched population.