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How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
April 2, 2024, 7:48 p.m. | Zhonghao Shi, Ellen Landrum, Amy O' Connell, Mina Kian, Leticia Pinto-Alva, Kaleen Shrestha, Xiaoyuan Zhu, Maja J Matari\'c
cs.CV updates on arXiv.org arxiv.org
Abstract: Socially assistive robots (SARs) have shown great success in providing personalized cognitive-affective support for user populations with special needs such as older adults, children with autism spectrum disorder (ASD), and individuals with mental health challenges. The large body of work on SAR demonstrates its potential to provide at-home support that complements clinic-based interventions delivered by mental health professionals, making these interventions more effective and accessible. However, there are still several major technical challenges that hinder …
abstract arxiv autism challenges children cognitive cs.cl cs.cv cs.hc cs.ro health human language language models large language large language models mental health personalized robot robots spectrum success support survey type work
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