Hyowon Lee

Clarity Centre for Sensor Web Technologies, Dublin City University

Papers

Total Citations

H-Index

About

Hyowon Lee is a researcher whose work sits at the fascinating intersection of human memory, robotics, and human-computer interaction. His key research areas include lifelike robotic cognition, digital memory systems, and the modeling of human-like forgetting in artificial agents. Lee's most notable contribution is the "iForgot" model, first introduced in 2010, which proposes a framework for robotic memory that deliberately incorporates forgetting—a feature often overlooked in artificial intelligence. By basing this model on human digital memory patterns, Lee argues that for robots to appear truly life-like and to interact naturally with people, they must not only remember but also forget in a human-like manner. While his citation counts (7 and 3 for his two most-cited papers) are modest, the conceptual impact of "iForgot" is significant, challenging the field to reconsider what "intelligence" means in social robotics. Lee's work is a compelling reminder that imperfection, in the form of forgetting, may be essential for creating machines that feel genuinely relatable and human.