Image recognition tools for blind and visually impaired users

Ndukwe, Chiemela, Fernando, Sandra, Virdee, Bal Singh and Djemai, Ramzi (2023) Image recognition tools for blind and visually impaired users. Transaction on accessible computing. ISSN 1936-7236 (In Press)

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Abstract / Description

The existing digital image recognition technologies available for blind individuals are commercially accessible but still at an immature stage, necessitating enhancements in their capabilities. Areas requiring improvement in current image recognition tools for the visually impaired encompass information accuracy, information adequacy, appropriateness of information for blind individuals, functional sufficiency, and ergonomic suitability. This research endeavors to explore technology employing an inclusive approach to overcome limitations inherent in current digital image recognition technologies for the visually impaired. To streamline the research process, the initial phase involves a critical evaluation of deficiencies present in existing image recognition technologies for blind/visually impaired users through primary and secondary investigations. This strategic evaluation aims to identify key deficiencies, guiding assistive technology developers in focusing their efforts. Simultaneously, a survey is conducted to establish a comprehensive checklist of usability features and requirements for the proposed technology, aligning with the ISO 9241-110 standard. The overarching goal of this research is to address the question, "What design considerations should be taken into account in designing image recognition technology for blind and visually impaired people?" The research outcomes are intended to establish a standard for designers of digital products catering to blind/visually impaired users, fostering improved awareness and shaping attitudes toward individuals with visual disabilities in the development of image recognition software.

Item Type: Article
Uncontrolled Keywords: Image recognition technology, Visual content accessibility for people with visual disabilities, Image processing software for Blind people ; Image recognition tool, visually impaired, Blind users, Assistive technology
Subjects: 600 Technology
Department: School of Computing and Digital Media
Depositing User: Sandra Fernando
Date Deposited: 03 Jan 2024 09:51
Last Modified: 09 Jan 2024 09:20
URI: https://repository.londonmet.ac.uk/id/eprint/9012

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