Nezih Younsi
Papers
1
Total Citations
3
H-Index
1
About
Nezih Younsi is a researcher at the intersection of human-computer interaction, social robotics, and adaptive agent systems. His work focuses on designing socially intelligent agents that can perceive and respond to human motivational states in real time, bridging the gap between static AI and dynamic, context-aware interaction. His most-cited paper, "Modiff-8 to Better Motivate: Live Adaptive Human-Socially Interactive Agent Interaction" (2025, 3 citations), introduces a novel framework for live adaptation in human-agent exchanges, demonstrating how agents can modulate their behavior to sustain user engagement and motivation. This contribution is particularly notable for its emphasis on real-time, bidirectional feedback—a departure from traditional one-way interaction models. While early in its citation trajectory, Younsi’s work is gaining traction for its practical implications in education, therapy, and collaborative robotics, where sustained human motivation is critical. His research underscores a shift toward more empathetic, responsive AI systems, positioning him as an emerging voice in the design of socially aware autonomous agents.
Research Focus
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Top Papers
- 1