Wael Ghazzawi

Papers

Total Citations

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About

Wael Ghazzawi is a researcher whose work sits at the intersection of human-robot interaction, natural language processing, and culturally-aware computing. His most influential contribution is the development and study of "Hala," a bilingual (Arabic and English) culturally-sensitive robot receptionist deployed at Carnegie Mellon University in Qatar. Through a series of highly cited papers (totaling over 48 citations), Ghazzawi analyzed Hala’s dialogue patterns, comparing them to a monolingual English robot ("Tank") at CMU’s Pittsburgh campus. This comparative work revealed critical insights into how cultural context and language shape human-robot communication, demonstrating that robots must adapt not only linguistically but also socially to different user populations. Ghazzawi’s research has been foundational in showing that effective human-robot interaction requires more than simple translation—it demands deep cultural sensitivity. His findings have implications for designing robots for diverse, multilingual environments, making him a key figure in the emerging field of cross-cultural robotics. This work remains a touchstone for researchers building socially intelligent agents for the Middle East and beyond.