Humanity and Society
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Are you interested?
If you are a professor or university student and you are interested in participating in the TUTORING program, register your information so that we can start the program.
Who is this challenge aimed at?
This challenge is proposed to students who want to develop their TFG/TFM and who have a background in interaction design, user experience, visual communication, digital product design, accessibility or related disciplines.
It can also be a proposal for students with a background in psychology, communication or humanities with an interest in accessibility, technology and people-centred design.
It is important to have analytical skills, sensitivity to the diversity of users and a proactive attitude to develop research, synthesis and solution proposals.
It is not considered necessary to have advanced technical knowledge, but curiosity to explore the potential of tools such as artificial intelligence applied to design.
Introducción al desafío
The visual complexity, excessive stimuli and non-linear structure of many television interfaces hinder the experience for people with low cognition, such as the elderly, those with neurological damage or mild or moderate intellectual disabilities, who need clearer, more guided and predictable environments.
- This project proposes to explore how artificial intelligence can facilitate a more comprehensible television experience for this profile, generating adapted solutions.
Challenge Proposed
To investigate the most common cognitive barriers in TV environments and explore how artificial intelligence can help to solve them through adaptive design proposals, aimed at improving understanding, navigation and autonomy for people with cognitive diversity.
- Analysis of cognitive accessibility in digital and audiovisual environments.
- Benchmarking of platforms or services, both in television and other digital environments, that have addressed similar challenges.
- Identification of common barriers related to cognitive load, language, navigation or visual hierarchy.
- Study of approaches, with or without a combination of AI-based technologies, that can support the improvement of the experience.
- Synthesis of findings to define criteria for improvement.
- Exploration of solutions that extend the experience without creating parallel flows.
- Creation of adapted flows in conceptual or visual format, documenting decisions and their applicability.
