<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Eye-Tracking on Jamal Yusuf</title><link>https://jamal.dev/tags/eye-tracking/</link><description>Recent content in Eye-Tracking on Jamal Yusuf</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 24 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jamal.dev/tags/eye-tracking/index.xml" rel="self" type="application/rss+xml"/><item><title>Expert Vision: Cognitive Foundations for Human-AI Collaboration</title><link>https://jamal.dev/writing/expert-vision-ai-augmentation/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://jamal.dev/writing/expert-vision-ai-augmentation/</guid><description>&lt;p&gt;Most AI tooling conversations begin with the model.&lt;/p&gt;
&lt;p&gt;I prefer to begin with the expert.&lt;/p&gt;
&lt;p&gt;Before I ever worked on large-scale backend systems or Generative AI platforms, I spent years building eye-tracking and cognitive systems at LC Technologies. I watched how radiologists, air traffic controllers, competitive gamers, and software engineers actually move their eyes, allocate attention, and make decisions under uncertainty. Later, through the Expert Vision research practice I founded, I formalized this into a framework for capturing, modeling, and transferring expert performance.&lt;/p&gt;</description></item></channel></rss>