Willingness of people with severe visual impairments to accept new transportation assistive technologies

Author:

Bennett Roger1,Vijaygopal Rohini2

Affiliation:

1. Kingston University Business School, Kingston-on-Thames, UK

2. Open University, Milton Keynes, UK

Abstract

BACKGROUND: Technology-driven assistive devices provide numerous benefits to people with severe visual impairments, yet device take-up rates are often low. OBJECTIVE: The study sought to determine the strengths of connections between transportation self-efficacy, technophobia, personal inertia, innovation resistance, and willingness to adopt high-tech transportation assistive devices among visually impaired individuals. It also examined certain potential barriers to device acceptance; namely the perceived safety and complexity of assistive devices and the effects on a person’s self-image of using a device. METHODS: A model was developed and tested via a questionnaire survey of 319 people with visual disabilities, each of whom was presented with five examples of hypothetical high-tech mobility and transportation assistive devices. RESULTS: Technophobia exerted a powerful negative impact on innovation resistance and was itself significantly determined in part by transportation self-efficacy. Personal inertia and the effects of device use on self-image failed to impact significantly on the participants’ levels of innovation resistance. CONCLUSIONS: The results have implications for the promotional activities of manufacturers of mobility and transportation assistive devices and for visual disability support organisations that wish to secure acceptance of new assistive devices.

Publisher

IOS Press

Subject

Health Informatics,Rehabilitation,Biomedical Engineering

Reference121 articles.

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2. NHS (National Health Service). Blindness and vision loss. London: Department of Health and Social Care; 2021.

3. RNIB (Royal National Institute for the Blind). Key information and statistics on sight loss in the UK. London: RNIB; 2018.

4. CDC (Centre for Disease Control and Prevention). Vision health initiative. Atlanta GA: CDC; 2020.

5. Gathering the users’ needs in the development of assistive technology: A blind navigation system use case;Paredes;Universal Access in Human-computer Interaction: Applications and Services for Quality of Life, Lecture Notes in Computer Science,2013

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