Assessing the Feasibility of Augmented Reality to Support Communication Access for Deaf Students in Experiential Higher Education Contexts

Why Read This from an HCI Perspective

This article treats AR not as a mere novelty technology, but as an interaction problem: where information should be placed so that it remains safe and learning does not get interrupted. In particular, it clearly illustrates the concrete tensions among distraction, mobility, and safety that Deaf students face in busy, hands-on environments like laboratories—where both gaze and hands are constantly engaged. This is highly meaningful for HCI/UX practitioners and researchers. It pushes you to think beyond ‘good performance’ and instead ask whether it can actually be used in the field.

CIT's Commentary

The core strength of this paper is that it makes it clear AR is not a one-size-fits-all solution. In a lab setting, AR can be useful because it reduces gaze switching and can attach information even while moving. However, in a classroom setting—where people often need to read long text and then look back—tablets may be a better fit. In other words, the interface should change according to the context, not just the technology itself. Also, display methods that move along with the head can conflict with natural behaviors like nodding, potentially causing discomfort—highlighting again why state transparency and user intervention paths are important in safety-critical systems. An interesting point is that the study offers implications not only for product design, but also for research methods. To evaluate the impact of AR adoption, you need to measure more than satisfaction—such as gaze switching, when users intervene, and failure modes. It’s also worth exploring ways to use tools like LLMs to support UX measurement and interview coding.

Questions to Consider While Reading

• Q.In contexts with very different demands—such as labs, classrooms, and remote environments—how should AR, tablets, and human support be combined to be the safest and least tiring?
• Q.What interface design is needed to present information stably within the user’s gaze without relying on head-fixed displays?
• Q.What research tools and logging designs are most effective for continuously measuring indicators like gaze distraction and cognitive load in real services?