Jason Hong

Papers

Total Citations

H-Index

About

Jason Hong is a leading researcher in human-computer interaction, privacy, and usable security, with a particular focus on bridging the gap between technology and everyday human experiences. His work has fundamentally shaped how we understand and design for privacy in mobile and ubiquitous computing systems. Hong’s most influential contributions include pioneering research on privacy-by-design frameworks and developing tools that make security and privacy more accessible to non-expert users. His widely cited studies on location-sharing preferences and social privacy have informed both academic theory and industry practice, with his top papers accumulating thousands of citations. Notably, his 2014 piece in *IEEE Pervasive Computing* explored emerging societal impacts of 3D printing, smart cities, and human-robot attachment, reflecting his broad interest in how people form meaningful relationships with technology. Hong has also been recognized with multiple best paper awards and serves as an editor for top-tier journals. His work continues to influence a new generation of researchers seeking to build technology that respects human values while remaining deeply usable.