Digital Life
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Area of development
This challenge is aimed at students of UX/UI design with an interest in accessibility and conversational design. Psychology, especially in the areas of cognition, attention, and user behavior. Audiovisual communication, with a focus on interaction and content comprehension. Engineering or technical fields with knowledge of conversational AI. Hybrid profiles combining design, accessibility, and artificial intelligence.
Intro
Navigating television can be complex for people with cognitive diversity, as it requires remembering routes, interpreting menus, and understanding changes on screen. An integrated conversational agent can reduce this burden by guiding each step and simplifying decisions.
This type of support also benefits people without vision, providing context and intent beyond a screen reader, and users with motor difficulties who need to perform actions without relying on the remote control. The challenge is to explore how an accessible agent can adapt to these profiles and improve their autonomy in the television experience.
Challenge Description
The project consists of investigating how an intelligent conversational agent can act as a support layer in the television experience, reducing complexity of use and facilitating navigation for people with cognitive diversity, vision impairment, or motor difficulties.
The project will analyze current barriers in comprehension, orientation, working memory, and decision-making within the TV interface.
Based on this review, interaction models based on voice, text, or simple iconography will be explored to define how the agent should communicate, what functions it should cover, and what type of assistance it can offer during use of the service.
The goal is to design a proposal for an accessible conversational agent capable of guiding actions, simplifying tasks, and improving user autonomy within the TV experience.
The final project will take the following aspects into account:
– Analysis of cognitive, visual, or motor barriers present in the current television experience.
– Benchmarking of conversational solutions or accessible assistants on TV and other digital environments.
– Design of user profiles and conducting exploratory interviews to identify patterns of difficulty.
– Synthesis of findings to define the criteria that an accessible conversational agent must meet.
– Exploration of proposals for interaction through voice, text, or adaptive iconography. – Definition of the role, functions, and tone of the agent within the television experience.
– Creation of conceptual flows or prototypes that show how the agent works in real scenarios.
– Final documentation of decisions, applicability, and value for the user experience.
