Smart glasses for remote assistance: analysing usability and optimal user characteristics among young adults with and without autism
Year: 2025
Type: article
Abstract: Purpose Young adults with autism spectrum disorder (ASD) often face challenges achieving independence and require ongoing support from caregivers. Smart glasses can develop skills and provide remote support, but user discomfort suggests further investigation into their usability and suitability.Materials and methods This study assesses smart glasses’ usability, comparing young adults (20–34 years) with (n = 22) and without (n = 22) ASD performing an online shopping task (OST). It explores correlations between usability and users’ cognitive, sensory and emotional characteristics. Assessments included demographics, Adolescent/Adult Sensory Profile, Behaviour Rating Inventory of Executive Function-Adult (BRIEF-A) and Depression and Anxiety Stress Scale (DASS) and post-task, the Usefulness, Satisfaction and Ease-of-Use (USE) and Post-Study System Usability Questionnaire (PSSUQ).Results Findings showed good usability for both groups (PSSUQ M = 2.82; USE M = 5.29; SD = 0.81). The ASD group showed more difficulty in the ease-of-use category. Sensory characteristic correlations were found between the USE usability score and low registration (r = −0.40, p = 0.01) and between the PSSUQ and low registration (r = 0 .34, p < 0.05), seeking (r = −0.35, p < 0.05) and sensitivity (r = 0.35, p < 0.05). Correlations were found between PSSUQ and BRIEF-A for cognitive (r = 0.36, p < 0.05) and PSSUQ and DASS for emotional (r = 0.30, p = 0.05) characteristics. Cluster analysis identified a subgroup (n = 19; 43.2%) more suited for smart glasses, with higher seeking behaviours and executive functions, lower sensitivities and negative emotional states.Conclusions Findings highlight smart glasses’ potential for providing remote support.
Authors: Raneen Osman, Liron Lamash
Institution: University of Haifa
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: NIH Clinical Center
OpenAlex ID: W4409770853
