What is GazeRecorder?

GazeRecorder offers a suite of tools centered around webcam-based eye tracking technology. It enables users to monitor and analyze visual attention without requiring specialized hardware. By leveraging standard webcams on desktops, laptops, or mobile devices, the platform employs advanced image processing, machine learning algorithms, and deep neural networks to accurately determine where users are looking in real-time or through recorded sessions. This technology facilitates a deeper understanding of user experience (UX) and consumer behavior.

The platform provides actionable insights through various analytical features, including gaze heatmaps, screen recordings, and gaze point tracking. It allows for remote usability research, enabling businesses to test websites, mockups, advertisements, packaging designs, and videos with participants globally. GazeRecorder supports quantitative and qualitative research, offering features like Areas of Interest (AOI) analysis and A/B testing to help optimize designs, improve ad effectiveness, and enhance overall user engagement based on concrete visual attention data.

Features

Webcam Eye Tracking: Utilizes standard webcams for eye tracking on desktops, laptops, and mobile devices.
Heatmap Generation: Creates visual heatmaps showing areas of highest visual attention.
Session Recording: Records user sessions, including screen activity and gaze points.
Remote Testing: Allows participants to join studies remotely using their own devices.
Areas of Interest (AOI) Analysis: Provides quantitative data on attention paid to specific design elements.
A/B Testing Support: Enables testing of different design variations to compare performance.
Real-time Gaze Tracking: Offers live monitoring of user gaze.
Multi-person Tracking: Capable of recognizing and tracking multiple individuals in the same frame.
AI-Powered Analysis: Employs AI and machine learning for accurate gaze prediction.

Use Cases

Website UX Testing: Analyze user navigation, engagement, and identify usability issues.
Advertising Effectiveness Analysis: Measure visual impact and attention on ad creatives.
Packaging & Shelf Testing: Optimize product design visibility and appeal in simulated retail environments.
Market Research: Understand consumer behavior and visual preferences.
Design Optimization: Evaluate and improve mockups, layouts, and digital interfaces based on attention data.
Conversion Rate Optimization: Identify if key elements like CTAs are noticed.
Academic Research: Conduct studies on visual perception, attention, and human-computer interaction.

FAQs

How does GazeRecorder's webcam eye-tracking work?

It uses image processing, machine learning algorithms, and deep neural networks to analyze images from a standard webcam, predicting the user's gaze location on the screen.
Do I need special hardware to use GazeRecorder?

No, GazeRecorder works with standard webcams found on most PCs, laptops, and the front-facing cameras on mobile devices.
Can GazeRecorder track more than one person at a time?

Yes, the underlying GazeCloud technology is capable of recognizing and tracking multiple people within the same camera frame.
What kind of insights can I get from GazeRecorder?

You can get insights through gaze heatmaps, gaze point recordings, session replays, and quantitative analysis of Areas of Interest (AOIs) to understand user attention and behavior.
Is it possible to conduct tests remotely with participants?

Yes, the platform supports remote testing, allowing participants to take part in studies using their own devices from anywhere.