User-centric Study of Patients' Receptiveness Towards the Web-based Automated Vision Impairment Gaze-tracking Analysis Systems
- Sponsor
- Tan Tock Seng Hospital
- Study ID
- NCT07338513
- Status
- Not Yet Recruiting
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Conditions
- Age-Related Macular Degeneration
- Wet Age-related Macular Degeneration
Eligibility Criteria
- Sex
- ALL
- Age
- 55 Years - 99 Years
- Healthy Volunteers
- Not accepted
Study Details
Age-Related Macular Degeneration (AMD) is the leading cause of central vision loss among older adults worldwide. Patients with AMD often require frequent monitoring of visual function and disease progression, typically through multiple follow-up visits involving optical coherence tomography (OCT), visual acuity testing (VA), and clinical consultations. While digital self-monitoring tools have emerged as promising solutions to reduce the burden of in-clinic visits, many elderly patients face challenges in engaging with these platforms due to visual impairment, limited digital literacy, and poorly optimised user interfaces. These barriers may reduce patient willingness to adopt such systems and undermine their long-term effectiveness. To address this gap, the study team has developed the web-based AVIGA (Automated Vision Impairment Gaze-tracking Analysis) system, which is a portable, self-administered, home-based digital monitoring system designed to minimise cognitive load and maximise usability for elderly AMD patients. The platform integrates patient-centred design principles such as simplified navigation, optimised text, and multimodal feedback (visual and audio) to empower users to independently track their visual health. A prospective, single-site usability trial to evaluate the AVIGA platform using validated human factors measures: the System Usability Scale (SUS), the Technology Acceptance Model (TAM) will be conducted. By examining the relationship between usability, cognitive load, and perceived empowerment, this study aims to identify critical user interface and user experience (UI/UX) design factors that influence willingness to adopt and sustain use of digital health tools among elderly AMD patients.
Key Dates
- First listed
- Jan 14, 2026
- Start date
- Jan 31, 2026
- Status verified
- Jan 2026
- Primary completion
- Jul 31, 2027
- Completion
- Sep 30, 2027
Study Design
- Enrollment
- 30 participants (estimated)
Primary Outcome Measure
Assess System Usability [ Time Frame: Baseline, Mid-point (6 months from baseline ±3 months), End-point (12 months from baseline ±3 months) ]
Central Contacts
- Zheng Kuang Noel Soh, BSc+65 6256 6011
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