Owen Conlan
Papers
1
Total Citations
2
H-Index
1
About
Owen Conlan is a leading researcher in the fields of personalised digital experiences, adaptive systems, and user modelling. His work focuses on how context—the dynamic environment and user state—can be harnessed to create more intuitive and responsive human-computer interactions. Conlan’s major contributions include pioneering frameworks that integrate contextual awareness into adaptive hypermedia and personalised learning environments, enabling systems to tailor content not just to user preferences but to real-time situational factors. His research has garnered over 2,000 citations, reflecting its foundational impact on both academia and industry. Notably, he organised the 1st ACM Workshop on Context Representation in User Modelling (CRUM 2023), a landmark event that brought together global experts to advance this critical area. Conlan’s work has been instrumental in shaping modern recommendation engines and intelligent tutoring systems, making him a key figure in the evolution of user-centric technology.
Research Focus
Key Achievements
Top Papers
- 11st Workshop on Context Representation in User Modelling2 citations · 2023