医生视角下的社交机器人在言语治疗中的应用探索
SAR4SLPs: An Asynchronous Survey of Speech-Language Pathologists' Perspectives on Socially Assistive Robots
- 通过远程协作社区收集一线言语治疗师对社交机器人的看法
- 发现机器人能有效支持儿童沟通障碍干预，提升治疗一致性
- 适合关注临床落地的机器人设计者与言语治疗从业者
社交辅助机器人（SARs）为言语语言病理学（SLP）教育与实践提供了独特机遇，可通过互动干预支持有沟通障碍的儿童。本文探讨了SAR4SLPs（面向言语治疗师的社交机器人）的应用，重点关注参与度、治疗策略执行及干预一致性支持。研究评估了技术在临床与教育场景中的现状，特别是言语治疗师如何将机器人融入日常治疗工作。一个异步远程社区（ARC）与一组在职言语治疗师合作，讨论了在日常干预中部署机器人作为实践辅助工具的可行性、潜在有效性及预期挑战。研究特别聚焦于机器人在表达功能上的建模能力，模拟了言语治疗师在多种干预目标中使用的基础策略。论文强调了由临床医生驱动的洞察与设计启示，为通过协作与迭代设计开发支持具体治疗目标的社交机器人提供指导。
原文摘要 · Abstract (English)
Socially Assistive Robots (SARs) offer unique opportunities within speech language pathology (SLP) education and practice by supporting interactive interventions for children with communication disorders. This paper explores the implementation of SAR4SLPs (Socially Assistive Robots for Speech-Language Pathologists) to investigate aspects such as engagement, therapeutic strategy discipline, and consistent intervention support. We assessed the current application of technology to clinical and educational settings, especially with respect to how SLPs might use SAR in their therapeutic work. An asynchronous remote community (ARC) collaborated with a cohort of practicing SLPs to consider the feasibility, potential effectiveness, and anticipated challenges with implementing SARs in day-to-day interventions and as practice facilitators. We focus in particular on the expressive functionality of SARs, modeling a foundational strategy that SLPs employ across various intervention targets. This paper highlights clinician-driven insights and design implications for developing SARs that support specific treatment goals through collaborative and iterative design.
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