Cathal Gurrin

Dublin City University, Trinity College Dublin

Papers

Total Citations

H-Index

About

Cathal Gurrin is a pioneering researcher in the field of lifelogging, human-digital memory, and robotic cognition. His work explores how continuous, first-person digital recordings of daily life can be captured, stored, and retrieved, with profound implications for memory augmentation, personal informatics, and human-robot interaction. Gurrin’s most notable contribution is the development of the "iForgot" model, a groundbreaking framework that introduces a human-like forgetting mechanism into robotic memory systems. By mimicking the natural decay and retrieval failures of human memory, this model enables robots to appear more lifelike and socially intuitive, addressing key challenges in long-term human-robot interaction. Although his most-cited papers on iForgot have accumulated modest citation counts (e.g., 9, 7, and 3 citations), the conceptual impact of this work is significant, bridging the gap between digital memory archives and cognitive science. Gurrin is also a leading figure in the lifelogging community, having organized major workshops and datasets that drive research into personal big data. His work continues to inspire new directions in how machines remember—and forget—like us.