This study investigates the influence of low vision assistive technology (AT) on the mobility and independence of individuals with visual impairments. The research aims to explore how various low vision devices, such as electronic travel aids, magnifiers, GPS-based navigation tools, and smartphone applications, impact the ability of visually impaired individuals to move safely and confidently within different environments.

The study employs a mixed-methods approach, combining quantitative and qualitative data collection techniques. Quantitatively, surveys and structured questionnaires are administered to a diverse sample of visually impaired participants to assess frequency of AT use, types of devices utilized, and self-reported improvements in mobility. Qualitatively, in-depth interviews and focus group discussions provide deeper insight into user experiences, challenges, and preferences.

Inclusion Criteria:

• any age.
• low vision (visual acuity less than 6/18 but equal to or better than 3/60 in the better eye, even with best correction).
• Regular users (minimum 3 months) of at least one type of assistive technology (traditional, digital, or both).
• Able to communicate verbally or in writing (independently or with assistance).
• Willing to provide informed consent and participate in interviews or surveys.

Exclusion Criteria:

• Total blindness (no light perception), as the study focuses on low vision.
• Individuals who have not used any assistive technology for mobility.
• Participants currently enrolled in vision rehabilitation training that could bias the outcomes.
• Those with temporary visual impairment (e.g., post-surgery recovery) rather than permanent low vision.

The study employs a mixed-methods approach, combining quantitative and qualitative data collection techniques. Quantitatively, surveys and structured questionnaires are administered to a diverse sample of visually impaired participants to assess frequency of AT use, types of devices utilized, and self-reported improvements in mobility. Qualitatively, in-depth interviews and focus group discussions provide deeper insight into user experiences, challenges, and preferences.