White papers, publications, and the early research this field was built on. Where the depth of the work shows.
Wearable eye trackers all produce a gaze point. The differences that matter show up later, when you try to turn that gaze point into a result somebody will accept.
Putting gaze in a world model puts human attention into the machine's own frame.
Visit our Frequently Asked Questions page.
A series on how measured human gaze can contribute to machines that learn, act, and work with people.
Eye tracking where the reader is a machine. Why human gaze is the missing signal in Physical AI data, and how it reaches a machine's world model.
How to use 3D gaze to capture human attention for robot training. What gaze adds to robot learning, and how to record it in the robot's coordinates.
Selected research using Argus and ASL systems.
Applications in action, on the Argus Science YouTube channel.
Manuals, specifications, and technical notes in the Download Center.
Open SDK with worked examples for real-time integration.
Coverage in national media, and video of the systems at work.
Eye tracking did not begin with cameras on glasses. Selected papers from our team and the ASL lineage, including work on how accuracy itself should be measured.
The Research and Technology Organization (RTO) of NATO
Early aerospace human-factors instrumentation.
Joshua Borah
Joshua Borah
Behavior Research Methods & Instrumentation
Leave us a note and we will send each new paper in the series as it is released.
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