Emotion-based Interactive Storytelling

Data analytics and Machine Learning are applied as tools to create stories combining content creation, emotional curves, sentiment analysis, and video synthesis. Capable of making assumptions based on past and real-time collected data, this technology can predict future emotional responses and generate storytelling based on behavioral responses.

Spectators and listeners are exposed to an AI-powered camera and skin-conductivity sensors that process, analyze, learn, and make assumptions at a scale and depth of detail impossible for individual human analysts. The data gathered routes back into the software, and the narrative of a game or a story changes based on the user's emotional inputs.

The software provides storylines, such as characters, plots, relationships, and scenarios, that adapt to how audiences feel and desire. By computationally predicting the emotional response to a narrative segment, this system can influence both the storyline and keep the user on a dynamic curve of interactions. This solution can be applied for learning and entertainment purposes as well as therapeutic programs.