Estudando o uso do modelo maltu para avaliação de acessibilidade em jogos digitais para pessoas com daltonismo

Abstract

The gaming market is currently the most profitable sector in the entertainment industry, thanks to its appeal to a diverse audience. Its unique interactivity directly engages players, making it a distinctive medium. Given its popularity and benefits for mental health and cognitive development, many players are people with disabilities (PWDs), including those with visual impairments such as color blindness. However, 66% of PWD gamers face accessibility challenges, with the main barriers being the high cost of some assistive tools, the complexity of configuring adaptive technologies, and the lack of native support in games. Although there are free assistive solutions, many still require technical knowledge for installation and configuration. Therefore, developers should prioritize native accessibility options in their games while also facilitating the use of assistive technologies. This research proposes testing the feasibility of the MALTU model for evaluating game accessibility, with an emphasis on colorblind players, through the analysis of posts on Steam. Since MALTU has never been used for this purpose, this study in-vestigates its applicability and potential improvements for future evaluations. The methodology involves an initial feasibility test, defining the target audience, and selecting keywords to filter posts. Three Steam games are automatically analyzed for data extraction, and relevant posts are manually classified. Finally, the study assesses whether MALTU can provide sufficient information to classify game accessibility.