DeepEye

It was a great honor to present DeepEye to the community of eye-tracking researchers at ETRA2024!

🔍 Exciting Preliminary Findings from Our Latest Consumer Decision-Making Study! We're thrilled to share an update from DeepEye's recent collaboration with VU Behavioral Lab, where DeepEye's cutting-edge webcam eye-tracking technology was used to study consumer behaviors in inclusive shopping environments (together with Laurens Stuurman, Yerong Zhang, Jiska Eelen, Iina Ikonen, Francesca Sotgiu, Marketing with Purpose @ VU Amsterdam) Study Overview: With over 200 participants measured in just 3 weeks, our focus was on understanding how consumer attention varies across different model sizes in online shopping. Here's what we found in our (very) initial analysis: Attention Dynamics: Female shoppers were observed to spend significantly less time fixating on larger models (sizes L and XL) compared to smaller models (sizes M and S). Early Fixation: Interestingly, XL models tend to attract attention earlier in the viewing process, despite less overall time spent fixating on them. These findings seem to suggest that while larger models initially attract attention, consumers devote more cognitive processing to smaller models. Why This Matters: The ability to rapidly analyze and derive meaningful insights from large-scale eye-tracking data showcases the potential of DeepEye technology in real-world applications. This speed and efficiency in data processing enable us to understand consumer behavior more dynamically and in greater detail than ever before. Stay tuned for more in-depth analyses as we continue to explore this rich dataset and uncover deeper consumer insights. 🌐 Follow DeepEye for updates on how our technology is making eye-tracking research quicker and more insightful.

🌟 Exciting Update from DeepEye and VU Behavioral Lab Collaboration! 🌟 In just three weeks, our collaboration has propelled forward with impressive results: 1. Rapid Development and Data Collection: Leveraging DeepEye technology, we swiftly programmed the experiment for Yerong Zhang's study and gathered data from over 200 participants, transforming a standard computer lab into a state-of-the-art eye-tracking facility. 2. Conference Submission: Our findings are compelling; we've already submitted an abstract to a renowned conference (stay tuned for further updates). 3. 📊 DeepEye's Benchmarks: Here are the benchmarks you've been curious about: Accuracy: 1 cm (0.88 degrees) Precision: 0.68 cm (0.56 degrees) These measurements, taken from 212 participants at a screen distance of approximately 70 cm without the use of a chinrest, where 1 cm converts to about 0.82 degrees of visual angle. These benchmarks place DeepEye on par with high-end laboratory eye-trackers. 🔍 Interested in a Pilot? At the heart of DeepEye is its ability to collect eye-tracking data quickly and on a large scale. If you're considering integrating eye-tracking technology into your research or product testing, don't hesitate to reach out. We’re excited to explore how DeepEye can support your needs. Feel free to DM me or send an email to artem@deepeye.nl for more information. Laurens Stuurman Jiska Eelen NWO (Dutch Research Council) #DeepEye #Eyetracking #WebcamEyeTracking FOLLOW US FOR MORE UPDATES!