[Minas Coder's] Pixel Queens
Bright Mind: the social translator
The application helps autistic women interpret workplace messages, reducing ambiguities that can cause anxiety, insecurity, and conflicts. Users input phrases from professional interactions, and the app provides clear and direct explanations of possible meanings. Features are organized into categories such as meetings, feedback, emails, and informal conversations, also offering suggestions on how to respond in each situation. The goal is to make communication more understandable and support more confident and autonomous decision-making.
Technical Elements
Entrepreneurship
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Learning Journey
Learning Journey
Our team developed Bright Might, a social translator to support workplace interactions. We improved our skills with App Inventor blocks and deepened our understanding of user needs through research and feedback from over five users. We also strengthened teamwork and empathy using tools like empathy maps. Initially, we struggled with disorganization, limited time, and an overly broad idea. We overcame this by narrowing the focus and dividing tasks more clearly. Based on feedback, we refined the app’s objective and added a “common situations” feature. The app suggests responses to phrases like “That was fast,” helping users navigate different interpretations.
Information Legitimacy Description
Our team evaluated the legitimacy of information by combining user feedback with reliable sources. We identified recurring patterns from Google Forms and direct feedback, focusing on common difficulties rather than isolated opinions. We validated these insights using empathy tools. Research from organizations such as the World Health Organization, UN Women, National Autistic Society, and the International Labour Organization highlighted social and workplace challenges for autistic women. Based on this, we adopted a clear and direct communication style to reduce ambiguity and improve understanding, ensuring our solution was evidence-based and aligned with real user needs.
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The development of the application considered key ethical principles, especially regarding data privacy, accessibility, and social impact. User-provided information is treated as sensitive data and is only stored with explicit consent, ensuring control and security. The interface was designed with simple, clear, and direct language to accommodate different cognitive needs and promote accessibility. Focusing on autistic women aims to address specific inequalities and barriers in the workplace, while avoiding generalizations and recognizing diverse contexts. To reduce the risk of dependency or misinterpretation, the application presents multiple possible meanings and makes it clear that it does not provide definitive answers. Additionally, efforts are made to minimize biases that could reinforce stereotypes or harm specific groups. In this way, the application supports user autonomy, encouraging conscious use of technology and informed decision-making.
