OVERVIEW

Halo is a mobile app concept that looks at street harassment as a shared, civic issue rather than an individual safety problem. Instead of offering safety guarantees or navigation, Halo focuses on making patterns of harassment visible through aggregated reports, community validation, and structured requests for systemic change.

This case study highlights Phase 2 of the project, where I deliberately reduced scope to create a more ethical, realistic, and testable product. The interactive prototype was generated using AI-assisted workflows (ChatGPT + Figma Make), with all design decisions and constraints defined by me.

[ Link to Prototype ]

PHASE 1: INITIAL DIRECTION

Halo originally started as an academic exploration into how technology could support women experiencing street harassment. Early ideas explored wearable-assisted reporting, evidence capture, and safety-oriented route guidance. While these concepts aimed to empower users, they also surfaced significant concerns around privacy, accountability, and false expectations of safety.

Rather than iterating on features that introduced risk, I chose to pause and reassess the direction of the project entirely.

THE PROBLEM, REFRAMED