Once you have built your report you can select from several metrics designed to provide you with the most relevant data for each study.

Switching between metrics:

  1. Select the pie-chart button in the top toolbar above the image tray to display the available metrics. Then, click the metric you desire for your analysis.

Note: once you have selected a metric, use the 'Draw AOI' feature to select the areas you wish to analyse with your selected metric. Use the square function to create a square or rectangle, or use the new polygon feature to create any shape you like.

Probability of Perception (POP)

This metric estimates the percentage of viewers who have their attention drawn to an area of interest or hotspot at first glance. Our brains can process up to 5 distinct objects at any given time therefore it is possible for multiple areas of interest or hotspots to achieve a score of 100%.

Use POP to determine the probability of your audience seeing what you want them to see at first glance. For example, if you have 3 strategically important elements on a webpage you can use POP to ensure they draw the most attention. Similarly, if you’re testing a banner ad, you can use POP to measure the likelihood of viewers seeing that ad within its context.

Share of Attention (SOA)

Share of Attention (SOA) metric estimates how much of the total attention within a scene is attributed to a given hotspot (as a percentage). The sum of all elements in a scene should be 100% (allowing for a small margin of error as we round the scores for each region).

Use SoA when you want to compare the relative performance of multiple elements within a scene.

Location Attention Score (LAS)

This metric provides the average level of saliency for a given element i.e. on a scale from 0-100, how attention grabbing is a certain region?

LAS represents the average heatmap score obtained after dividing the image into equally sized square grids. It is best used to compare the saliency of elements in the background to elements in the foreground. With this data, you can then assess the effectiveness of your areas of interest.


Need more information? Please contact [email protected] or any member of the Dragonfly AI team.

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