Attention Measurement
Based on real people's data, computer vision algorithms measure the level and duration of attention.
Attention measurement metrics
Attention measurement becomes even more powerful when combined with an emotional reaction analysis. Three main metrics help assess audience attention and emotional engagement.
Attention Level
Measures the average amount of attention while viewing a content.
Attention Span
How long a viewer keeps attention on your content before the first moment of distraction.
Engagement
The emotions invoked based on facial expressions measurement.
How it works
Artificial Intelligence algorithms, more specifically Computer Vision algorithms, enable the analysis of the attentive and emotional response of the target. Using a webcam, the algorithm analyzes the target audience’s response to a certain piece of content based on several elements.
Elements to track attention
Facial Micro-Expressions
Uses action units to measure six primary emotions easily measurable through facial expressions
Head Movements
Improves accuracy of attention levels by tracking the position of the person’s head, eyelids, and eye gaze
ATTENTION MEASUREMENT CASE STUDY
RAI Pubblicità uses attention and emotion analysis
With attention and emotion measurement technology, RAI analyzed engagement metrics to identify the optimal time for commercial breaks before losing the audience to other distractions.
See attention measurement in action
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