Understand how people interact with technology
Human factors

Understand how people interact with technology

Understand how people direct attention, make decisions, and interact with AI and intelligent systems. Eye tracking adds objective human behavior data to research into AI interfaces, automation, machines, and robots. 

Reveal the human perspective 

Technology can record inputs, responses, system events, and task outcomes. Eye tracking adds the human perspective by revealing where people direct their visual attention throughout an interaction. 

Investigate what people notice, search for, monitor, revisit, or overlook as they make decisions, operate systems, and engage with technology. 

Reveal the human perspective 
In practice

Study interaction as it happens 

Use eye tracking to reveal how visual attention changes as people interpret information, operate systems, and respond to technology. 

Tobii Glasses X used in Driving simulator

Understand trust, attention, and decisions 

Investigate what people notice, search for, revisit, or overlook as they interpret information, assess changing situations, and make decisions during a task.

Training and skills assessment

Study interaction with intelligent systems 

Reveal how attention shifts between interfaces, machines, robots, tasks, and the surrounding environment as people monitor systems, respond to information, and interact with technology.

Applications

Applications

Explore human interaction with intelligent systems

Discover how eye tracking reveals attention, behavior, and interaction across AI-driven interfaces, intelligent machines, and robotic systems. 

Research insights

research insights

Turn human insight into better technology

Understand how attention shifts between people, tasks, and automated systems to design smoother handovers and more effective human-technology collaboration.

  • Improve usability

    Identify what attracts attention, what gets missed, and where users struggle to find important information to create clearer, more intuitive interfaces.

  • Support better decisions

    See what information people consider or overlook before making a choice to improve how critical information is presented and understood.

  • Reduce workload

    Identify when interfaces, tasks, or automation place excessive demands on users and use those insights to simplify interactions and reduce cognitive load.

  • Decrease risk

    Discover when critical information is missed or attention is directed elsewhere to help improve situational awareness and design safer systems.

  • Enable smoother coordination

    Understand how attention shifts between people, tasks, and automated systems to design smoother handovers and more effective human-technology collaboration.

  • Optimize training

    Compare how experts and less experienced users approach the same task to identify effective strategies and improve training and skill development.

Use cases

use cases

See how researchers are shaping human-technology interaction

Our technology

Our technology

Eye tracking for different ways of working

Choose the eye tracking setup and tools that fit your research, from controlled screen-based studies to natural interaction with intelligent systems in real-world environments.

Screen-based eye tracking 
Screen-based eye tracking 
Screen-based eye tracking 
Screen-based eye tracking 

For controlled studies of AI interfaces, dashboards, decision-support systems, simulations, and visual stimuli. 

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Eye tracking glasses
Eye tracking glasses
Eye tracking glasses
Eye tracking glasses

For studying interaction with machines, robots, physical environments, and systems while participants move naturally. 

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Eye tracking software
Eye tracking software
Eye tracking software
Eye tracking software

For studying interaction with machines, robots, physical environments, and systems while participants move naturally. 

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Developer tools 
Developer tools 
Developer tools 
Developer tools 

Access eye tracking data programmatically for custom experiments, intelligent applications, multimodal research, and integration with wider research environments. 

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Bring human insight into your research

Discover how eye tracking can help you understand attention, behavior, and interaction across AI, machines, and robotics.

FAQs

Quick answers

Discover more about eye tracking human-AI research

Learn how eye tracking can support research into attention, decision-making, and behavior across AI, human-machine, and human-robot interaction.

Resources & community

Resources & community

Everything you need to get started

Free training, open-source tools, and direct support, designed to get you from unboxing to publishable results as fast as possible.

  • Tobii Academy

    Free online learning platform with structured courses covering every stage of eye tracking research, from fundamental concepts to advanced analysis techniques.

    → Eye tracking fundamentals and methodology

    → Experiment design best practices

    → Tobii Pro Lab software training

    → Data analysis and interpretation

    → Certification tracks

  • Open-source research tools

    50+ community-curated tools, experiment scripts, and integration libraries across the full eye tracking workflow. PsychoPy, MATLAB, Python, LSL, and more.

    Curated catalogue

    PsychoPy integration

    Tobii GitHub

  • Tobii Connect support portal

    Knowledge base, firmware updates, troubleshooting guides, and direct support from Tobii's technical team. Your first stop for any hardware or software question.

    → Product setup and troubleshooting guides

    → Firmware and software downloads

    → Data quality methodology documentation

    → Direct ticket support for registered products

    → Sample projects and demo recordings