Shaul Ashkenazi

Papers

Total Citations

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About

Shaul Ashkenazi is a researcher at the intersection of human-robot interaction, social robotics, and migration studies. His work focuses on designing robotic systems that can assist vulnerable populations, particularly refugees and asylum seekers, in navigating complex bureaucratic processes in new countries. Ashkenazi’s most cited paper, "Goes to the Heart: Speaking the User's Native Language" (2024, 4 citations), introduces a foundational approach to developing a social robot that works alongside human support workers to help new arrivals in the UK. This research addresses critical challenges in cross-cultural communication and trust-building between robots and non-native speakers. By targeting language barriers and emotional resonance, Ashkenazi’s work contributes to the growing field of socially assistive robotics for humanitarian contexts. His research has implications for designing inclusive technologies that empower marginalized communities, bridging gaps in access to essential services. Though early in his career, Ashkenazi’s focus on real-world applications of robotics for social good positions him as a promising voice in human-centered AI and migration technology.