Media staff
Needed a faster way to organize large libraries, find issues, and avoid rebuilding the same review setup for every video.
03Human-Computer Interaction hackathon 2025 · Team InSight
A human-reviewed workflow for helping university teams find, correct, and track video accessibility issues at scale.

The problem
One Iowa State department had more than 1,000 videos requiring scene-level descriptions before a December compliance deadline. Staff had to inspect each meaningful scene change, write descriptions, and review the full timeline.
Commercial tools were too expensive to scale campus-wide, while different departmental processes created duplicated effort and inconsistent quality. The design challenge was to reduce repetitive work without removing human judgment.
Who we designed for
Needed a faster way to organize large libraries, find issues, and avoid rebuilding the same review setup for every video.
Needed clear ownership, deadlines, and a way to understand whether course material was ready to publish.
Needed consistent checks and an auditable review process across departments.
Needed descriptions and captions that accurately communicate essential visual information.
The response
The concept detects scene changes, analyzes captions and audio, drafts descriptions, and groups issues into a single review queue.
Staff see the flagged moment in context, compare the suggestion, revise it when needed, and confirm readiness before export.
Prototype evidence
The gallery follows the working sequence: track the library, analyze a video, review individual issues, and confirm export readiness.
A shared workspace helps departments track video volume, deadlines, ownership, and accessibility progress.

Proposed pilot measures
Target processing time per minute of source video.
Target description accuracy compared with human-reviewed quality.
Target cost reduction compared with commercial tools.
A shared process designed to support multiple departments.