A New Approach to Sonification of Astrophysical Data: The User Centred Design of SonoUno

TL;DR

This paper presents SonoUno, a user-centered sonification tool designed to improve accessibility for researchers with disabilities, enabling effective analysis of astrophysical data through multisensory techniques.

Contribution

It introduces a novel user-centered design approach for sonification tools, specifically tailored to enhance accessibility and autonomy for users with diverse abilities in scientific data analysis.

Findings

Focus group showed increased autonomy with SonoUno

Participants found sonification improved data understanding

Tool promotes equity in scientific research

Abstract

Even when actual technologies present the potential to augment inclusion and the United Nations has been stablished the digital access to information as a human right, people with disabilities continuously faced barriers in their profession. In many cases, in sciences, the lack of accessible and user centred tools left behind researches with disabilities and not facilitate them to conduct front-line research by using their respective strengths. In this contribution, we discuss some hurdles and solutions relevant for using new technology for data analysis, analysing the barriers found by final users. A focus group session was conducted with nine people with and without visual impairment, using the tool sonoUno with one linear function and an astronomical data set downloaded from the Sloan Digital Sky Survey. As a result of the focus group study, incorporating data analysis using sonification, we conclude that functionally diverse people require tools to be autonomous, thereby enabling precision, certainty, effectiveness and efficiency in their work, resulting in enhanced equity. This can be achieved by pursuing a user-centred design approach as integral to software development, and by adapting resources according to the research objectives. Development of tools that empower people with wide-ranging abilities to not only access data using multi-sensorial techniques, but also address the current lack of inclusion, is sorely needed.