A Neural Architecture for Detecting User Confusion in Eye-tracking Data

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This 8-minute talk presents a neural architecture for detecting user confusion from eye-tracking data. It teaches a specific technical method applicable to HCI research and cognitive systems.

What you'll learn

A 8-minute video from UBC Computer Science: “A Neural Architecture for Detecting User Confusion in Eye-tracking Data”.

Programming & CS Science & Math

Video by UBC Computer Science, played through YouTube's embedded player.

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