Save Baby Whale! A Pet Robot as a Medication Reminder for Children with Asthma

IF 5.5 Q2 ROBOTICS
Dian Lv, Jirui Liu, Jiancheng Zhong, Zhiyao Ma, Yijie Guo
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引用次数: 0

Abstract

Asthma is one of the most common chronic diseases in children, but adherence to asthma medications is very low, which can lead to poor or even dangerous outcomes. To solve this problem, we came up with a baby whale pet robot that needs to be taken care of by children. In this paper, we present the design of our first prototype to explore whether a pet robot could help improve medication adherence in children with asthma.
救救小鲸鱼!宠物机器人作为哮喘儿童用药提醒器
哮喘是儿童中最常见的慢性疾病之一,但对哮喘药物的依从性非常低,这可能导致不良甚至危险的结果。为了解决这个问题,我们想出了一个需要孩子照顾的小鲸鱼宠物机器人。在本文中,我们展示了我们的第一个原型的设计,以探索宠物机器人是否可以帮助改善哮喘儿童的药物依从性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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