Robotic Interventions for Learning (ROB-I-LEARN): Examining Social Robotics for Learning Disabilities through Business Model Canvas

A. Arora, Amit Arora, K. Sivakumar, John R. McIntyre
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Abstract

This ROB-I-LEARN research utilizes a versatile framework (e.g., Business Model Canvas or BMC) for robot design and curriculum development aimed at students diagnosed with autism spectrum disorder (ASD). Robotic interventions / human-robot interaction (HRI) field experiments with high school students were conducted as a recommendation or an outcome of the BMC framework and customer discovery interviews. These curriculum-related robotic interventions / interactive scenarios were designed to improve cognitive rehabilitation targeting students with ASD in high schools, thus enabling a higher quality learning environment that corresponds with students' learning requirements to prepare them for future learning and workforce environments.
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学习的机器人干预(robi - learn):通过商业模型画布检查学习障碍的社交机器人
这项robi - learn研究利用了一个通用框架(例如,商业模型画布或BMC)来设计机器人和开发针对被诊断为自闭症谱系障碍(ASD)的学生的课程。机器人干预/人机交互(HRI)现场实验与高中生进行作为建议或结果BMC框架和客户发现访谈。这些与课程相关的机器人干预/互动场景旨在改善高中ASD学生的认知康复,从而为学生的学习需求提供更高质量的学习环境,为他们未来的学习和工作环境做好准备。
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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