Amama Mahmood

Papers

Total Citations

H-Index

About

Amama Mahmood is a rising researcher in human-robot interaction (HRI), with a focus on making conversational robots more robust and socially aware. Her work centers on two critical challenges: error detection in human-robot conversations and the design of polite, interruption-aware robotic systems. In her highly cited 2025 paper "Interruption Handling for Conversational Robots," Mahmood explores how robots can manage conversational turn-taking, a key step toward more natural and respectful interactions. She is also a driving force behind the "ERR@HRI 2.0 Challenge," which tackles the multimodal detection of errors and failures in LLM-powered robots—addressing issues like misunderstanding user intent, premature interruptions, and response failures. Though early in her career, her contributions are already shaping the next generation of socially intelligent robots. Her work is essential reading for anyone interested in the intersection of large language models, conversational AI, and real-world HRI.