CHS: Large: Collaborative Research: Participatory Design and Evaluation of Socially Assistive Robots for Use in Mental Health Services in Clinics and Patient Homes

CHS：大型：协作研究：用于诊所和患者家庭心理健康服务的社交辅助机器人的参与式设计和评估

• 批准号: 1900883
• 负责人: Megan Richardson
• 金额: $ 58.82万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1900883&HistoricalAwards=false
• 关键词: CHS; Large; Collaborative; Research; Participatory

A significant concern in the United States relates to mental health disorders, especially depression; the National Institute of Mental Health (NIMH) has estimated that 17.3 million adults aged 18 or older (7.1% of the adult population in the U.S.) had at least one major depressive episode in 2017. The primary goal of this project is to enable patients and clinicians working together with researchers to design a socially assistive robot to provide support for, and as an intervention to alleviate the symptoms of, depression. The robot, Therabot, currently takes the form of a dog and is intended to serve as a pet-like companion. The project will allow both patients and clinicians to customize the capabilities and behaviors of the robot in order to improve patient health and well-being. The effectiveness of the modified robots will be evaluated in clinical settings and by means of longer-term use in patient homes. Project outcomes will include advances in healthcare robotics and improvements in human-robot interaction, thanks to a combination of onboard sensors that provide additional information to clinicians along with artificial intelligence to customize the interactions of the robot with the patient. This activity is also expected to transform mental healthcare interventions, and to reduce healthcare costs for mental health concerns by allowing many patients to remain in their homes longer with the aid of their assistive support robot. This research topic is of interest to a diversity of students, as well as clinical practitioners, and will promote educational training and opportunities in the areas of science, technology, engineering, and mathematics.This project will employ Participatory Design (PD) methods to develop an adaptable socially assistive robot platform by extending the features and capabilities of Therabot. Appropriate therapeutic interventions will be identified and their effectiveness evaluated using this platform to address the needs of individuals diagnosed with depression. The main research contributions are to apply PD methods to socially assistive robots for mental health with particular focus on bridging therapy in clinical and home settings, to further the technical development of adaptable robotic systems, and to provide an extension to the Interactive Social Engagement Architecture and Toolkit for long-term interaction outside of the laboratory. The project will develop PD activities to expand the design of Therabot which, unlike off-the-shelf systems, can be amended to suit the changing needs and preferences of diverse patients and clinicians over time.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在美国，一个重要的问题是心理健康障碍，尤其是抑郁症。美国国家心理健康研究所 (NIMH) 估计，2017 年有 1730 万 18 岁或以上的成年人（占美国成年人口的 7.1%）至少经历过一次重度抑郁症。该项目的主要目标是让患者能够临床医生与研究人员合作设计一款社交辅助机器人，为抑郁症提供支持并作为缓解抑郁症状的干预措施。这款名为 Therabot 的机器人目前采用狗的形式，旨在作为宠物般的伴侣。该项目将允许患者和临床医生定制机器人的功能和行为，以改善患者的健康和福祉。改进后的机器人的有效性将在临床环境中以及通过在患者家中长期使用来进行评估。项目成果将包括医疗保健机器人技术的进步和人机交互的改进，这要归功于为临床医生提供额外信息的机载传感器与人工智能的结合，以定制机器人与患者的交互。这项活动预计还将改变心理医疗干预措施，并通过让许多患者在辅助支持机器人的帮助下更长时间地呆在家里，从而降低心理健康问题的医疗费用。该研究课题引起了不同学生和临床从业者的兴趣，并将促进科学、技术、工程和数学领域的教育培训和机会。该项目将采用参与式设计（PD）方法来开发通过扩展 Therabot 的特性和功能，打造一个适应性强的社交辅助机器人平台。 将使用该平台确定适当的治疗干预措施并评估其有效性，以满足被诊断患有抑郁症的个人的需求。主要研究贡献是将 PD 方法应用于用于心理健康的社交辅助机器人，特别关注临床和家庭环境中的桥接治疗，进一步发展适应性机器人系统的技术开发，并提供交互式社交参与架构和用于实验室外长期互动的工具包。该项目将开展 PD 活动，以扩展 Therabot 的设计，与现成的系统不同，Therabot 可以进行修改，以适应不同患者和临床医生随着时间的推移不断变化的需求和偏好。该奖项反映了 NSF 的法定使命，并被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。

项目成果

What Skin Is Your Robot In?

你的机器人是什么皮肤？

• DOI: 10.1145/3568294.3580137
• 发表时间: 2023
• 期刊: What Skin Is Your Robot In?
• 作者: Collins, Sawyer;Hicks, Daniel;Henkel, Zachary;Baugus Henkel, Kenna;Piatt, Jennifer A.;Bethel, Cindy L.;Sabanovic, Selma
• 通讯作者: Sabanovic, Selma