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About

Vladislav Maraev is a leading researcher at the intersection of human-robot interaction (HRI), computational linguistics, and conversation analysis. His work centers on understanding and modeling the nuanced dynamics of communication breakdowns, particularly how robots can detect, manage, and recover from conversational troubles and failures. Maraev’s major contribution lies in bridging the gap between technical dialogue system design and the empirical study of human conversational repair. His highly cited workshop report, "Working with troubles and failures in conversation between humans and robots," brought together roboticists, HRI researchers, and conversation analysts to establish a shared framework for studying miscommunication. This interdisciplinary approach has shaped a new research agenda, influencing how dialogue systems are built to handle real-world interactional challenges. With over 6 citations on this foundational work, Maraev’s impact is growing as the field recognizes the critical need for robust, socially aware robots. His achievements include organizing key interdisciplinary workshops and advancing the theoretical and practical understanding of failure recovery in spoken dialogue, making his research essential for anyone building conversational agents that must navigate the messy reality of human communication.