Trying to gauge peoples level of interest, attention and overall engagement with content (be it programming or advertising) has traditionally been the realm of surveys and panels.
Answering surveys can be notoriously biased with the respondent either answering how they 'think' they should answer questions, being influenced by the questions themselves or other factors such as recall affecting responses.
Affectiva Facial recognition research allows the gauging viewers expressions, tracking 22 points around the face mouth eyes nose to then use machine learning techniques to train the software to tell the difference between happiness and sadness.
Using a simple webcam combined with Mindreader software observation of peoples expressions allows audience engagement to be tracked and measured.
try it here : link
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