Designing a tool that automatically translates Makaton signs from live video streams into written English

This paper presents the design process for a tool intended to automatically translate Makaton signs from live video streams into written English. Makaton, a communication system utilising signs and symbols to assist individuals with communication difficulties, requires an effective translation system to improve accessibility. To guide the design of this tool, we conducted a thematic analysis of information collected from experts in the field. This analysis identified key themes and needs, which were used to develop design specifications for the tool. The output was evaluated and validated through member checking, confirming that the results accurately reflected the experts’ knowledge, experiences, and needs. Feedback from participants was incorporated to refine the design specifications, ensuring they were grounded in practical application and user expectations. The refined specifications will inform the subsequent development of a prototype. This paper outlines the methodological approach, including thematic analysis, member checking, and the formulation of design specifications. It highlights the role of iterative feedback in enhancing the tool’s relevance and effectiveness, and underscores the importance of user-centered design in assistive technology development. The study provides a framework for future research and development in this area.