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:
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Measure the effectiveness of an advertisement based on Mehrabian's emotion scale (Valence, Arousal, Dominance)
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Interpret brain waves as emotional states
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Provide live emotional state feedback to an advertisement animation via Emotiv, an EEG-headset.
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Algorithmically engineer the animation to achieve the optimal emotional response from a viewer
