RealEye Blog

Discover how Turkish researchers are using RealEye webcam-based eye-tracking technology to explore visual attention across media, psychology, and political campaigns.

The study used RealEye's eye-tracking technology to analyze attentional mechanisms and working memory efficiency across adulthood. It found that attention remains stable with age, while working memory declines.

A study used RealEye eye-tracking to explore how subtitles impact language learning. Findings revealed greater reliance on subtitles without audio, higher cognitive effort for Spanish than Arabic subtitles, and improved comprehension without audio distractions. RealEye enabled detailed insights into subtitle processing and the interplay of auditory and visual inputs.

A study using RealEye eye-tracking explored how Generation Z students engage with educational materials. It found that alternating text and images was most effective for diverse learning preferences, emphasizing the importance of personalizing content to improve engagement and retention in modern education.

We are pleased to announce that our new #InstagramMockups feature is now available at RealEye! Our #InstagramMockups allow you to easily present your designs on smartphones in a lifelike Instagram layout. Whether you're promoting a product, impressing clients, or enhancing your portfolio, this tool ensures your work looks its best!

This study analyzed how consumers engage with promotional and welcome emails from fashion brands. It tracked eye movements to explore which elements of emails capture attention, providing insights for improving email marketing strategies and increasing engagement.

Explore how the number of calibration points affects accuracy on Mobile Devices. We compared four calibration methods: 13-, 22-, 27-, and 39 points, by evaluating their performance across screen areas and participant data quality. The goal is to find a balance between accuracy and calibration complexity for various research needs.

In this study, RealEye was used to track how participants engage with disinformation. The study found that bold headlines, sensational images, and celebrity figures captured the most attention, while critical details like altered logos and suspicious sources were often overlooked. These findings suggest a need for stronger media literacy to help viewers recognize subtle signs of manipulation.

This study uses eye-tracking technology to explore the impact of Artificial Intelligence (AI) and Explainable AI (XAI) on dermatologists' melanoma diagnoses. It focuses on how eye movement patterns reflect their engagement with AI tools.