Patrik Ekman

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About

Patrik Ekman is a leading researcher in human-robot interaction (HRI) and second-language (L2) acquisition, with a particular focus on designing socially intelligent robots for educational contexts. His work bridges the gap between computational interaction design and applied linguistics, exploring how robots can facilitate authentic, human-like conversation practice for language learners. In his most-cited study, "Learner and teacher perspectives on robot-led L2 conversation practice" (2022, 11 citations), Ekman conducted semi-structured interviews with both L2 learners and teachers to derive actionable design recommendations for robot-led dialogue. This paper is notable for its user-centered approach, moving beyond technical feasibility to incorporate the nuanced social and pedagogical needs of real-world classrooms. Ekman’s contributions are foundational to the emerging field of robot-assisted language learning (RALL), where his insights into spoken and non-verbal interaction strategies have shaped how robots can mimic human conversational cues to reduce learner anxiety and increase engagement. His work is widely referenced by researchers in HRI, educational technology, and applied linguistics, and he is recognized for championing a collaborative, human-in-the-loop methodology that prioritizes learner and teacher voices in the design of educational robots.