Enhance Museum Visits
Role: Research, Ideate, Branding, User Experience Design, User Interface Design
Team: Collaborated with Vivian Lee, Hannah Ekman, Tong Zhang
Created: April 2018
An Artificial Intelligent tool that analyzes existing surveillance footage to improve spatial planning. With Fish Eyes, museum personnel across departments, curatorial, visitor services, marketing, and security, strategically experiment with future spatial layouts to improve safety, audience targeting, and engagement.
FishEyes was created during an AI/UI design jam sponsored by Parsons School of Design, Verizon, and NYC Media Lab. After a 3-days hackathon, with over 30 submissions, CurAItor(the first name of the project) won "Best in Show".
Website:
FISHEYES.TECH
Our key objectives
Who are the stakeholders?
Marketing
Name & Age: David, 58
Title: Director of Engagement
Role: Marketing, Communication, and Budgeting
What matters to him?
Revenue, attendance, media presence, and donors.
What does he need?
To drive revenue, a diverse audience, and build membership.
Curator
Name & Age: Lisa, 46
Title: Chief Curator
Role: Exhibits, layout planning
What matters to her?
Narrative, engagement, raising funding, and overall visitor experience.
What does she need?
To build, catalog, and manage comprehensive exhibits that educate and engage a large audience range.
Security & IT
Visitor Services
Name & Age: Anne, 36
Title: Chief Experience Officer
Role: Audience studies, exhibit planning, education curriculum
What matters to her?
Audience engagement, retention rate, safety
What does she need?
To plan exhibits that ensure safety, as well as reducing cognitive load to allow most content retention.
Name & Age: Jeffrey, 56
Title: Technical Officer
Role: Security, IT
What matters to him?
What matters to him: Security of visitors and the museum, operating efficiency, maintenance level
What does he need?
High-quality systems that are manageable and meet code safety and regulations.
Ideation
Through research, museums' spatial planning is a collaborative job between curatorial, security, visitor services, education, collections, and exhibition designers.
We found data points that are beneficial for stakeholders. Therefore, Fish Eyes will track data such as age, pictures of art pieces taken, time spent in rooms, and walking paths from visitors, the AI will be able to collect, analyze and predict successful design trends and patterns for future exhibits.
The data is collected and made available to curators in two ways:
1. Comprehensive dashboard full of rich insights from room to room.
2. AR, where curators can experience the user's journey and visualize success through a heat map and pertinent notes throughout the exhibits.
Paper Prototype
Hi-fidelity User Interface
Prototype
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