人机交互
人机交互
社交机器人
人格
计算机科学
机器人
心理学
物理医学与康复
仿人机器人
人工智能
机器人学
应用心理学
工程类
动作(物理)
医疗保健
医学
模拟
互联网隐私
作者
Soomin Shin,Shruti Chandra,Archana Rajan,Seema Shah,Kerstin Dautenhahn
标识
DOI:10.1080/01691864.2026.2700312
摘要
Socially Assistive Robots (SARs) have been extensively studied in pediatric therapy for neurodivergent children, yet their use for speech-language intervention in routine clinical practice remains underexplored. We present a therapist-operable, robot-assisted therapy platform consisting of a physical social robot and a web-based control dashboard, co-developed with Speech-Language Pathologists (SLPs) through a multi-year co-design process to support independent robot use during regular sessions without on-site technical support. We report a two-stage system evaluation: (1) iterative co-design and prototype validation that translates personas into implementable requirements and therapy activities (Study 1); and (2) an in-the-wild deployment with one SLP and six children diagnosed with receptive and expressive language delay, consisting of seven weekly sessions per child over an 11-week calendar period (Study 2). No researchers were present on site during the sessions. Results show that the robot effectively supported attention re-engagement, emotional regulation during meltdowns, and motivation via reward-like interactions. However, sustained use revealed key challenges for long-term viability: developmental mismatch between prepared activities and individual functional levels, limited adaptability and content scalability for repeated sessions, and uncertainty about acceptable physical interaction boundaries. We synthesize these results into traceable design-to-deployment implications and generalizable principles for therapist-operated SAR systems.
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