Technology: Facial Coding

Facial Coding

Affect Lab’s Proprietary Facial Emotion Recognition Technology

Watch a video and measure the emotions hiding under your facial expressions in real-time

Facial Coding Metrics

Attention

Attention Scores are a measure of attention levels and the quality of attention i.e. the time duration which the audience is offering continuous attention. Attention scores increase as respondents continually focus on the stimuli and decrease as users show signs of frequent distractions.

Engagement

Engagement Scores are a measure of the overall emotional experience of users with the stimuli. It is measured using Daniel Kahneman's peak-to-end rule which determines engagement by the emotions evoked by the stimulus at its peak and at the end.

Emotions

Emotion Scores are a measure of the positive and negative emotions that the stimulus evokes in the audience. We categorize Happy and Surprise as Positive Emotions. Neutral, Detached, Sadness, Contempt, Fear and Anger are categorized as Negative Emotions.
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UNIQUE FACIAL DATA COLLECTED
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CATEGORY SPECIFIC DATA COLLECTED
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MINS OF DATA COLLECTED

How can you use it?

Affect Insights
Affect UX
Affect API

Learn about Facial Coding and its Applications

Experience Affect Lab

Leverage affect lab's proprietary facial coding technology for facial emotion recognition and deliver customer experiences that resonate emotionally