Design a Trust-Calibration UI for a Domestic Assistive Robot
Overview
What this challenge is about.
Design trust-calibration interactions for a domestic robot, build and test a prototype, then iterate based on user feedback. Earn your verifiable certificate.
The scenario
The startup (~50 staff) sells the robot at a monthly subscription to families in Japan and Korea; trust mis-calibration is the dominant churn driver in month-2.
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.
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