Eye-Tracking & Behavior Analytics Case Study

Using Eye-Tracking to Improve the Discoverability, Readability, and Learnability of the Cooper Hewitt API Website.

Spring 2024

Written by:

Laiba Sarwar

Project Summary

The Cooper Hewitt API provides its users with access to the data of 215,000 items in their collection, along with information about the people, companies, and other organizations that were associated with them. This project tested how novice and expert API users interact with the Cooper Hewitt API website by conducting a usability study and eye-tracking. We provided several recommendations focused on improving how people locate the API website (discoverability), find API examples (readability), and learn to run a query (learnability).