Facial Coding enables the user to calculate the below Insights:
Attention: Attention metric in Affect Lab measures the volume of attention respondents paid to the stimuli and also the quality of attention which indicates how long an audience was capable of maintaining continuous attention. Attention score increases as respondents are more focussed on the screen in continuous manner and the score decreases as respondents are showing signs of frequent distractions
Engagement: Engagement metric in Affect Lab measures the overall emotional reaction by the respondents to the task and/or stimuli measured using Daniel Kahneman's peak-to-end rule. The Engagement with the stimuli is determined by the emotions evoked at its peak and at the end.
Positive Emotions: The sum of happy and surprise emotions depicted by the respondent when they watch any stimuli.
Negative Emotions: The sum of sad and anger emotions depicted by the respondent when they watch any stimuli.
The different emotions which are captured by our facial coding which includes:
Happy, Sad, Surprise, Anger, Neutral, Detached.