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Emotion-Adaptive Advertisement

Animation on Blender, Programming on Flash, 2012  

This final year project served as a basis for a presentation at 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (2013) in Geneva, Switzerland. The publication can be viewed here.

How do we relate emotional responses of a viewer to an advertisement? Could we provide a live feedback to the advertisement so that it would adapt to the emotional state of the viewer?

This final year project proposed a way to:

  1. Measure the effectiveness of an advertisement based on Mehrabian's emotion scale (Valence, Arousal, Dominance)

  2. Interpret brain waves as emotional states

  3. Provide live emotional state feedback to an advertisement animation via Emotiv, an EEG-headset.

  4. Algorithmically engineer the animation to achieve the optimal emotional response from a viewer

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