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Research Eye Tracking Usability

MET Museum Eye Tracking Study

Improving how users find and consume content on the Metropolitan Museum of Art website through a 10-session eye tracking study — uncovering navigation pain points and delivering 10 actionable design recommendations.

Role
UX Researcher · Moderator · Analyst
Team
Raunak Jangid, Kyle Kisicki, Chris Denney, Xiujie Bi
Duration
4 weeks · Fall 2021
Tools
Tobii Pro X2 · Tobii Pro Lab · Excel
MET Eye Tracking Study Cover
01 — Context

Understanding the Problem

Being one of the most celebrated museums on the planet, the MET attracts millions of visitors from across the globe. For those who can't visit in person, the MET website serves as a vital resource to view and interact with the art collection. We partnered with the MET to conduct an eye tracking study on their website and improve the ways in which users discover and consume content.

During our first client meeting, the MET team provided a comprehensive document detailing focus areas, pages under consideration, topics of inquiry, and the user groups of interest. Keeping the timeline in mind, we focused on two major sections: Close Look Articles and The Collection Experience.

The team working with the Tobii tool
02 — Research

Methods & Participants

Given the complexity of inviting unaffiliated participants to campus, we recruited from within the Pratt community. To avoid overlap, we coordinated with other research teams so no participant tested with multiple groups.

We recruited 10 participants: 7 graduates, 2 undergraduates, and 1 unaffiliated participant. All were frequent museum visitors with at least a generalist interest in art.

Method 01
Tobii Pro X2 eye tracking hardware with Tobii Pro Lab for gaze replay analysis, AOI, TOI, heatmaps, and fixation points.
Method 02
System Usability Scale (SUS) and pre/post-test questionnaires to capture subjective usability ratings.
Method 03
Retrospective Think Aloud (RTA) to uncover user mental models and surface latent pain points post-session.

Tasks

  • Explore a Close Look article as users naturally would
  • Browse the MET Art Collection page and learn about an artwork of interest
  • Search for a Picasso graphite Cubism artwork using collection filters
03 — Analysis

Analyzing Gaze Data

We started analysis by reviewing gaze replays and RTA recordings to capture relevant insights. To validate initial findings we cross-referenced with TOI, AOI, heatmaps, and SUS scores.

78.3
Mean SUS Score
77.5
Usability Score
81.3
Learnability Score
10
Sessions Conducted

The MET website scored in the 80–84 percentile range based on its SUS score. What these numbers reveal is that new users can quickly understand how to interact with the website — learnability is a genuine strength. However, the gap between learnability and usability signals friction once users go deeper.

04 — Findings

Key Recommendations

Close Look Articles

The correlation between text and image — where the image zoomed to highlight the detail being described — was universally praised. Participants appreciated the guided perspective.

"It was interesting how when the text was referencing a part of the piece… it would kind of zoom in on that. It's not like you have to look for it, they're already showing it to you."

— Participant A

Finding: Long scroll kills momentum. After spending time on a close-look page, participants felt disoriented and wanted an exit route. The absence of navigation options forced them to scroll all the way to the bottom.

"I moved my head here because I was tired of reading. I probably would have paused here had I not been doing this for you guys, and it just felt like a lot of scrolling at this point."

— Participant O
Navigation menu recommendation
Recommendation: Add in-article navigation menu to let users jump to sections

The Collection Experience

Users followed a consistent pattern of searching by keyword then using filters to narrow results. The intricate filter system was well-received — but the filter layout created significant confusion.

"I didn't notice graphite was there. I would imagine going down alphabetically instead of across."

— Participant A

Finding: F-pattern reading vs. horizontal filter layout. The heatmap revealed a vertical F-shape reading pattern while filters were arranged horizontally. In the 3rd task, all participants struggled to find the correct material filter — only 50% discovered the search bar within the filters.

Heatmap showing F-pattern reading
Heatmap showing users scanning vertically while filters are ordered horizontally
Filter recommendation
Recommendation: Alphabetical groupings with anchor tags for efficient filter navigation
05 — Outcome

Impact & Takeaways

The client presentation went extremely well. The MET team was particularly interested in learning that users spent significantly more time reading on close look articles than expected. All 10 recommendations resonated as actionable and practical.

Rec 01
Add in-article navigation to close look pages — allowing users to jump between sections and exit without scrolling to the bottom.
Rec 02
Declutter the close look landing page — reduce micro-interactions that falsely signal interactivity to users.
Rec 03
Reorganize collection filters alphabetically with anchor tags — aligning with the vertical F-pattern reading behavior observed in gaze data.
Rec 04
Expand filter categories to include more artist-based options, enabling student researchers to better narrow results.
Rec 05
Reverse chronological order in Exhibition Date on artwork pages — most recent entries should appear at top.
Rec 06+
5 additional recommendations covering image navigation buttons, zoom affordances, search tolerance for typos, and scroll signifiers.

This project gave me deep appreciation for the power of objective gaze data in validating (or challenging) assumptions. The disconnect between what users say and where their eyes actually go is striking — and eye tracking makes that gap visible in a way no other method can.