Perceived enjoyment and ease of use strongest predict acceptance of social robots for EFL speaking among Chinese primary students, with social attributes enhancing enjoyment.
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Twelve semistructured interviews yield twelve knowledge-based design requirements for tutoring generative social robots, grouped into self-knowledge, user-knowledge, and context-knowledge categories.
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A sequential explanatory mixed-methods study on the acceptance of a social robot for EFL speaking practice among Chinese primary school students: Insights from the Computers Are Social Actors (CASA) paradigm
Perceived enjoyment and ease of use strongest predict acceptance of social robots for EFL speaking among Chinese primary students, with social attributes enhancing enjoyment.
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Knowledge-Based Design Requirements for Generative Social Robots in Higher Education
Twelve semistructured interviews yield twelve knowledge-based design requirements for tutoring generative social robots, grouped into self-knowledge, user-knowledge, and context-knowledge categories.