Jenna Hong
MIT EECS | Nutanix Undergraduate Research and Innovation Scholar
A Multimodal Memory Augmentation Interface: Unlocking Human Cognition Behind Story Memorability
2018–2019
EECS
- Artificial Intelligence & Machine Learning
- Human-Computer Interaction
Patrick H. Winston
Memory serves a key cognitive function in human story understanding and storytelling, which sets apart human intelligence from that of machines. This project explores the memorability of stories to create an intelligent assistive interface with possible applications in online learning or early intervention for Alzheimer’ s disease. I will be working on building an artificial intelligence system that identifies key features of memorable story events and subsequently predicts episodic memorability from physiological and emotional responses. From there, I hope to contribute to the field of augmented cognition by building an AR environment that allows users to perceptually manipulate their mind palace via audiovisual cues, creating stronger mental associations for new and fading memories.
“I’ m passionate about how technology can enhance our understanding of human intelligence and how we can reverse engineer the mind to create innovative technologies. With SuperUROP, I hope to gain skills in research and communication to answer meaningful questions at the intersection of computer science and cognitive science. I’ d love to complete my project from ideation to publication, with results contributing to further applications of AR in learning and memory.”