The Attention Insight algorithm is trained on approximately 30800 images from eye-tracking studies.
The image datasets we use are both open-source and proprietary.
Data set statistics:
(a) Participant attention duration: 4 seconds (b) Average gender distribution: 58% women and 42% of men (c) Average participant age distribution: varies from 7 years old to about 60+ years old.
However, most participants fall into the 21–30 age bracket.
Attention Insight visual attention predictions are ~90% accurate for web images, and ~94% accurate for all other images. In addition, the accuracy of Attention Insight algorithm results was determined by comparing it to MIT’s data set containing images with eye tracking data.
In order to compare eye tracking results with our algorithm results, Area under the curve (AUC Judd) metric was used, currently the main metric in MIT saliency benchmark
The Attention Insight attention prediction model is based on deep learning and can automatically detect visual attention shifts that can be used as a substitution for eye-tracking studies.
Finally, to use the Attention Insight platform, users do not need to collect additional data since an AI algorithm uses previously recorded data from eye tracking studies and generates attention heatmaps in seconds.
Real Eye Tracking vs Predictive Eye Tracking
Eye Tracking
Predictive Eye Tracking
Eye Tracking
Predictive Eye Tracking
Eye Tracking
Predictive Eye Tracking
Eye Tracking
Predictive Eye Tracking
Eye Tracking
Predictive Eye Tracking
Features
Attention Heatmaps
Instantly create AI heatmaps with the most eye-catching parts of your design. AI heatmaps are a visual representation of data that helps you determine whether users view and observe certain elements.
Percentage of Attention
Define an Area of Interest (AOI) that you want to test. In no time, get an exact percentage of attention that object receives.
Clarity score
Measure the clarity of your design and compare against competing designs in the same category.
Focus Map
Make sure that users see the most critical elements of your designs.
Attention Report
See your design analysis explained in detail with Attention Insight Report Feature.
Comparison
Compare your designs and see which solutions will perform better
Video Heatmaps
Boost your Video Ad performance by applying heatmaps to its analysis. AI video heatmaps represent concentration of attention in a video that is being played.
You read it right. No need to upload it frame by frame, just play the video and analyse the heatmaps provided.
Video heatmaps feature is available upon request. The test is performed by Attention Insight team.