Ugan Yasavur
Papers
1
Total Citations
2
H-Index
1
About
Ugan Yasavur is a researcher at the intersection of artificial intelligence, human-robot interaction, and digital health. His work focuses on developing autonomous conversational agents and embodied robotic systems for delivering behavioral health interventions. In his most cited work, "Humanoid Robots and Spoken Dialog Systems for Brief Health Interventions" (2014), Yasavur pioneered the integration of a fully autonomous NAO humanoid robot with a spoken dialog system designed to administer brief health interventions. The system leverages Markov decision processes (MDPs) and is optimized through reinforcement learning (RL) algorithms trained on real interaction data, enabling adaptive, context-aware conversations. This research represents a significant step toward scalable, automated health coaching and counseling tools. Although his citation count is modest, Yasavur’s work is notable for its early and innovative fusion of robotics, dialog systems, and clinical psychology, laying groundwork for future embodied conversational agents in healthcare. His contributions highlight the potential of socially assistive robots to deliver evidence-based interventions in accessible, engaging ways.
Research Focus
Key Achievements
Top Papers
- 1Humanoid Robots and Spoken Dialog Systems for Brief Health Interventions2 citations · 2014