Harnessing biometric insights and AI to create effective media. By analyzing unconscious responses to content, we empower social justice organizations to craft impactful narratives through data-driven storytelling.
ABOUT THE PROJECT
The lab not only captures the brain and body’s unconscious response to media and technology but also uses machine learning to adapt content based ...
Our goal is to find out which combination of narrative ingredients is most appealing and galvanizing to specific target audiences, enabling social justice organizations ...
The output is a series of data visualization tools that help users analyze the captured data.
TOOLS
The Limbic Lab consists of two components: a narrative engine and a media machine. While a subject is viewing or interacting with media content, the narrative engine takes in and syncs real-time data from brain waves, biophysical data, as well as eye-tracking and facial expressions.
Besides capturing real-time biometric data, the narrative engine also stores story coding and survey data into a database for correlation mapping and predictive modeling to offer a more comprehensive view of the non-conscious aspects of empathetic engagement, attitudinal and behavior change. It uses open-source hardware and software that NGOs, cultural and educational organizations can afford and adapt for their own purposes.
The Limbic Lab's other component, the media machine, will assess how media elicits an emotional and physiological response, then pulls scenes from a content library targeted to person-specific media DNA.
Heidi Boisvert