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About

Mai Okada is a pioneering researcher in human-robot interaction, with a specialized focus on designing socially intelligent museum guide robots. Her work lies at the intersection of robotics, computer vision, and ethnographic fieldwork, aiming to create robots that can engage visitors in natural, educational dialogues about art exhibits. Her most influential paper, "Revealing Gauguin" (2009, 81 citations), introduces a groundbreaking approach where a robot guide uses interactive technologies to explain museum pieces, drawing on detailed observations of human guides in real gallery settings. This work demonstrates how robots can foster meaningful visitor engagement rather than simply delivering information. Okada’s subsequent studies (2010) further refine this by developing methods for robots to select an answerer from a group of visitors by analyzing gaze responses—a subtle, non-verbal cue that human guides instinctively use. Her research shows that by distributing its gaze strategically, a robot can effectively manage multi-party interactions, making it a more responsive and inclusive conversational partner. Though her citation counts are modest, Okada’s contributions are foundational to the niche field of robotic museum guides, blending technical innovation with deep insights from social science to advance more natural human-robot communication.