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Using AI-Enhanced Social Robots to Improve Children's Healthcare Experiences

使用人工智能增强的社交机器人改善儿童的医疗保健体验

基本信息

批准号：
ES/T012986/1
负责人：
Mary Ellen Foster
金额：
$ 64.68万
依托单位：
University of Glasgow
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FT012986%2F1
关键词：
Using AI Enhanced Social Robots

项目摘要

Children experience pain and distress in clinical settings every day, and the negative consequences of unaddressed pain can be both short-term (e.g. fear, distress, inability to perform procedures) and long-term (e.g. needle phobia, anxiety). In a series of small, innovative studies by project team members, a Nao humanoid robot has been used to deliver cognitive-behavioural therapy-based interventions during needle-based procedures. The results of these early studies have been positive, showing high acceptance among the target population as well as promising initial clinical results. However, these studies were all hindered by a critical technical limitation: in all cases, the robot was remotely operated and employed purely scripted behaviour with limited AI support, diminishing the flexibility and robustness of its behaviour as well as its potential to offer personalised, adaptive procedural support to children. In this project, we aim to address this limitation by developing and evaluating a clinically relevant and responsive AI-enhanced social robot. We believe that interaction with a robust, adaptive, socially intelligent robot can effectively distract children during painful clinical procedures, thereby reducing pain and distress.

儿童每天都在临床环境中经历疼痛和痛苦，未解决的疼痛的负面后果可能是短期的（例如恐惧，痛苦，无法执行程序）和长期的（例如针头恐惧症，焦虑）。在项目团队成员进行的一系列小型创新研究中，Nao人形机器人已被用于在基于针的程序中提供基于认知行为治疗的干预。这些早期研究的结果是积极的，显示了目标人群的高度接受度以及有希望的初步临床结果。然而，这些研究都受到一个关键技术限制的阻碍：在所有情况下，机器人都是远程操作的，并且在有限的人工智能支持下采用纯粹的脚本行为，降低了其行为的灵活性和鲁棒性，以及为儿童提供个性化，自适应程序支持的潜力。在本项目中，我们的目标是通过开发和评估临床相关且响应灵敏的人工智能增强社交机器人来解决这一限制。我们相信，与一个强大的，自适应的，社会智能机器人的互动可以有效地分散儿童在痛苦的临床程序，从而减少疼痛和痛苦。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Using AI Planning for Managing Affective States in Social Robotics

使用人工智能规划来管理社交机器人中的情感状态

DOI：
10.1145/3610978.3640744
发表时间：
2024
期刊：
影响因子：
0
作者：
Lindsay A
通讯作者：
Lindsay A

77 Qualitative Needs Assessment of Child and Caregiver Perspectives to Inform Design of an Artificial Intelligence-enhanced Social Robot to Improve Paediatric Emergency Care

77 对儿童和护理人员观点进行定性需求评估，为人工智能增强型社交机器人的设计提供信息，以改善儿科紧急护理

DOI：
10.1093/pch/pxad055.077
发表时间：
2023
期刊：
Paediatrics & Child Health
影响因子：
1.9
作者：
Hudson S
通讯作者：
Hudson S

Exploring the needs of children and caregivers to inform design of an artificial intelligence-enhanced social robot in the pediatric emergency department.

DOI：
10.1017/cts.2023.608
发表时间：
2023
期刊：
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE
影响因子：
2.6
作者：
Nishat, Fareha;Hudson, Summer;Panesar, Prabdeep;Ali, Samina;Litwin, Sasha;Zeller, Frauke;Candelaria, Patricia;Foster, Mary Ellen;Stinson, Jennifer
通讯作者：
Stinson, Jennifer

Co-design of a Social Robot for Distraction in the Paediatric Emergency Department

儿科急诊科分散注意力社交机器人的协同设计