Community Based Robot Design for Classrooms with Mixed Visual Abilities Children

要旨

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.

著者
Isabel Neto
University of Lisbon , Lisbon, Portugal
Hugo Nicolau
Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
Ana Paiva
University of Lisbon, Lisbon, Portugal
DOI

10.1145/3411764.3445135

論文URL

https://doi.org/10.1145/3411764.3445135

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Access for People with Visual Impairment

[B] Paper Room 01, 2021-05-13 01:00:00~2021-05-13 03:00:00 / [C] Paper Room 01, 2021-05-13 09:00:00~2021-05-13 11:00:00 / [A] Paper Room 01, 2021-05-12 17:00:00~2021-05-12 19:00:00
Paper Room 01
11 件の発表
2021-05-13 01:00:00
2021-05-13 03:00:00
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