Sign language learning app
Hora da Libras
ROLE
UX Designer
EXPERTISE
UX/UI Design
YEAR
2025
Teaching Brazilian Sign Language through play and evidence.
Hora da Libras started as an inter-university research project to help children learn Libras as a first language. The first pilot showed communicability breakdowns and uneven task success. I redesigned the product using Semiotic Engineering, treating the interface as a message from designer to user. I validated the changes through MAC (Communicability Evaluation Method) and SUS (System Usability Scale). This case explains how we clarified that message, reduced cognitive load with chunking, and improved usability across core exercises.
I led the full product design process, including discovery, UX strategy, information architecture, UI, prototyping, and research operations. I also set up a shared Notion workspace to manage scope, hypotheses, evidence, releases, and rituals.
Team: 1 designer (me), 2 developers, programming instructors, and a speech‑language pathology specialist team.
Note: This project was done in Portuguese and later translated to English by me.
Challenges
Make the app usable without reading so children learn by watching and doing.
Keep kids oriented at all times with a clear next step and visible progress.
Use short, fun activities with instant feedback to sustain engagement.
Impact
reduction in communicability breakdowns after redesign, making the interface significantly clearer for young deaf users.
SUS scores improved from 72.5 to 84.16 after the redesign, reaching an excellent level.
task completion in redesigned exercises, achieved by all 6 deaf children during usability testing.
Adopted by 2 federal universities (UFRJ & UFF) in their speech therapy programs, confirming real-world educational impact.
Process Overview
We ran a fast, user-centered loop. Semiotic Engineering guided decisions so the interface clearly “speaks” to the child through visuals. I was the sole designer, aligning developers, programming teachers, and speech-language specialists in a shared Notion.
User Persona
To design for the real context of deaf children and their families, I created a primary persona that anchored every decision from IA to microcopy. Bringing Maria to life kept us focused on visual-first interaction, shared devices, and the need for fast, clear feedback. The persona informed the Lean Canvas, guided user stories, and tied research insights to UI choices.
Maria Gomes | 10
Deaf child learning Libras as a first language
2nd grade student
Goals
Needs
Pain Points
User Journey
Maria tries a traditional Libras app made for Portuguese readers. Text onboarding and menu labels force a parent to translate, so she feels it isn’t for her. With Hora da Libras, visual tiles and a short sign video invite action and she starts on Animals.
Conflicting
Trying
Starting
Quitting
Method and Toolkit




Competitor analysis
I conducted a competitor analysis to understand the strengths and weaknesses of existing Libras learning apps, focusing on how they teach signs, support children who can’t read yet, and give feedback. This helped identify opportunities for differentiation within Hora da Libras.
LibrasLab
A Libras practice app where each task shows a signer video and asks for the matching Portuguese word.
✅ Pros:
• Video of a signer on every task, clear framing, large tap targets
• Speed control and a “translate” option help hearing users check understanding
❌ Cons:
• Prompts and options depend on reading Portuguese, which excludes pre-literate children
• Tasks map sign → Portuguese word rather than building Libras as a first language
SENAI Libras
A “sign dictionary” tool and a strong technical reference for hearing learners and vocational contexts, but misaligned with first-language acquisition needs.
✅ Pros:
• Large Libras glossary with search, A–Z index, and filters by domain
• Step-by-step videos for each entry support dictionary lookups
❌ Cons:
• Dictionary, not a learning path; no scaffolded progression or short practice tasks
• 3D characters may miss subtle sign parameters (handshape, movement, orientation, location)
Librário
A Libras card game that uses photos of signs in short, turn-based rounds.
✅ Pros:
• Simple, familiar game loop that motivates play with turn taking and quick wins
• Encourages repetition and visual recall of signs across rounds
❌ Cons:
• UI and cards use Portuguese words and buttons, so pre-literate children need mediation
• Still photos reduce key parameters of the sign; no slow/zoom or movement cues
VLibras
A public tool that translates Portuguese text into Libras with a 3D avatar.
✅ Pros:
• Fast PT-BR to Libras translation with a large sign library
• Useful 3D avatars for hearing users to preview a sign for a Portuguese word or sentence
❌ Cons:
• Built as a translator, not a learning path
• Feedback is absent beyond play or pause, so errors do not teach what to notice
Hora da Libras
By analyzing competitors, we saw that most rely on reading Portuguese, work as dictionaries or translators rather than learning paths, and give little feedback after mistakes. Hora da Libras is built for first-language acquisition by deaf children, with short scaffolded tasks, hints after errors, visible progress and real signer videos.
Solution
Hora da Libras is a visual-first app for deaf children learning Libras as a first language. The interface explains itself without reading, guides one action at a time, and rewards small wins. Content is organized by child-friendly semantic fields, with progress saved so families know what to practice next. The work was guided by Semiotic Engineering and iterated through usability sessions using MAC to locate confusion and SUS to confirm overall ease.
Image Association Onboarding
Unit 1 starts with image-to-image matches so learners grasp the mechanic before any signs. A progress bar tracks each small, usability-tested step, and augmentative visuals clarify Portuguese labels, showing progress and exercise type on the selection screen (single choice or matching).
Handshape Foundations
At the start of Unit 2, the concept of Handshape (Configuração de Mão, CM) is introduced. Activities correlate animals from Unit 1 with their respective handshapes, helping learners notice form before location, and the unit advances through a short, well-scaffolded series of exercises.
Place of Articulation and Chunking
Only after CM do we bring in Place of Articulation (Ponto de Articulação, PA). We apply the chunking method described in the thesis, starting with simpler selections and then moving to matching. This reduces cognitive load while the progress bar continues to signal advancement.
Each completed exercise adds points to the learner’s total. At the end of the video, those points appear in the user’s profile.






























