Design a Trust-Calibration UI for a Domestic Assistive Robot
Overview
What this challenge is about.
Design a Trust-Calibration UI for a Domestic Assistive Robot. Intermediate challenge in design. Designing real products under real constraints, earn a blockc...
The Brief
What you'll do, and what you'll demonstrate.
Design and validate a trust-calibration interaction layer that helps older adults delegate the right tasks to an assistive robot.
This is not a design exercise. It is the work a product designer does between a brief and a shipped interface. That distinction matters to every hiring manager who has seen candidates redesign Spotify's homepage and none who have worked under real product constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design interaction patterns that calibrate user trust in physical AI
- Run iterative paper-prototype studies with older-adult participants
- Apply inclusive-design heuristics to embodied AI interfaces
- Translate qualitative findings into a rollout recommendation
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Human-Robot Interaction
Master · Applied Ai
Strong alignment
This challenge maps to Human-Robot Interaction at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Trust Calibration
Apply trust calibration to solve real industry problems and demonstrate production-level capability.
- Human Robot Interaction
Apply human robot interaction to solve real industry problems and demonstrate production-level capability.
- Interaction Design
Apply interaction design to solve real industry problems and demonstrate production-level capability.
- User Study
Apply user study to solve real industry problems and demonstrate production-level capability.
- Inclusive Design
Apply inclusive design to solve real industry problems and demonstrate production-level capability.
- Figma Prototyping
Apply figma prototyping to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Designer
Designing for trust calibration on an embodied AI is the work AI product designers do at any consumer-robotics company.
This challenge sharpens
- trust-calibration
- interaction-design
- figma-prototyping
AI Safety Researcher
Iterative evaluation of an interaction layer for over- and under-trust failure modes mirrors the safety researcher's daily work on deployed AI.
This challenge sharpens
- trust-calibration
- user-study
- human-robot-interaction
AI Product Manager
Owning the rollout recommendation backed by qualitative evidence is core AI PM work at consumer-AI startups.
This challenge sharpens
- user-study
- interaction-design
- inclusive-design