Community Based Robot Design for Classrooms with Mixed Visual Abilities Children
Isabel Neto, Hugo Nicolau, Ana Paiva
Abstract
Visually impaired children (VI) face challenges in collaborative learning in classrooms. Robots have the potential to support inclusive classroom experiences by leveraging their physicality, bespoke social behaviors, sensors, and multimodal feedback. However, the design of social robots for mixed-visual abilities classrooms remains mostly unexplored. This paper presents a four-month-long community-based design process where we engaged with a school community. We provide insights into the barriers experienced by children and how social robots can address them. We also report on a participatory design activity with mixed-visual abilities children, highlighting the expected roles, attitudes, and physical characteristics of robots. Findings contextualize social robots within inclusive classroom settings as a holistic solution that can interact anywhere when needed and suggest a broader view of inclusion beyond disability. These include children’s personality traits, technology access, and mastery of school subjects. We finish by providing reflections on the community-based design process.
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Install the CLIlune papers fulltext 954d372a-9aa0-4cfa-a022-4b8eb33b42d2Cited by top-tier papers8
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