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Research and reports
Evaluating and building trust in AI experiences with eye tracking
AI-driven interfaces are transforming the way users make decisions. Trust forms in moments that happen before a click, tap, or conversion. This guide shows how eye tracking helps teams understand what users notice, how they process information, and where uncertainty appears in AI experiences.
What you will learn:
How attention shapes trust in AI-driven UX
Where users hesitate, disengage, or lose confidence
How eye tracking complements analytics and predictive modeling
How real-world teams applied eye tracking to improve AI experiences
Who this guide is for:
UX designers, researchers, marketers, and product teams working on AI-powered experiences.
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Read time
45 mins
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Expand your knowledge of AI and eye tracking
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company
Tobii and artificial intelligence
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blog
AI: Actual Intelligence!
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blog
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Capturing human data using eye tracking in the era of AI matters because we need to dig deep into how someone sees reality, how their conscious and unconscious minds create it.