VACO：面向ADHD儿童专注力的治疗性与激励性虚拟机器人代理的多视角开发
VACO: a Multi-perspective Development of a Therapeutic and Motivational Virtual Robotic Agent for Concentration for children with ADHD
AI总结：
本文提出VACO虚拟机器人代理，通过激励性注意力训练帮助ADHD儿童提高专注力，并采用家长调查、临床医生反馈和最终用户可行性测试三种参与式方法进行多视角开发。
摘要：
在这项工作中，我们提出了（i）一种新颖的方法，说明人工智能如何通过虚拟机器人代理进行激励性注意力训练，从而在治疗中帮助患有注意缺陷多动障碍（ADHD）的儿童提高专注力，以及（ii）一个将不同利益相关者及其视角纳入其中的开发过程。为此，我们提出了三种参与式方法来纳入不同利益相关者的视角。研究一在德国对家长进行了一项在线调查，目的是确定他们是否会使用软件来促进孩子的注意力，哪些因素会影响他们使用该软件的态度，以及该软件需要满足哪些要求。约一半的家长愿意使用软件来促进注意力。为了使软件开发尽可能贴近实践，其中一名开发人员参加了ADHD强化培训，目的是测试哪些要素在技术上是可行的。随后，向临床医生展示了第一个原型（研究二），以进行进一步调整。与最终用户一起进行了首次可行性测试（研究三），以检查系统是否能够运行，以及儿童和青少年是否能够使用它。如果系统能够适应从业者和最终用户的需求，注意力表现软件将为ADHD的治疗提供多种机会。这一开发过程需要大量时间和紧密的跨学科合作。
英文摘要：
In this work, we present (i) a novel approach how artificial intelligence can support in the therapy for better concentration of children with Attention Deficit Hyperactivity Disorder (ADHD) through motivational attention training with a virtual robotic agent and (ii) a development process in which different stakeholders are included with their perspectives. Therefore, we present three participative approaches to include the perspectives of different stakeholders. An online survey (Study I) was conducted with parents in Germany with the aim of ascertaining whether they would use software to promote their children's attention, what influences their attitude towards using it, and what requirements it would have to meet. About half of the parents would be willing to use software to promote attention. To develop the software as close to practice as possible, one of the developers took part in an intensive training for ADHD with the aim of testing which of the elements are technically feasible. Afterward, a first prototype was presented to clinicians (Study II) to make further adjustments. A first feasibility test (Study III) was conducted with the end users to check if the system works and if children and adolescents can use it. Attentional performance software offers multiple opportunities in the treatment of ADHD if the system is adapted to the needs of the practitioner and end user. This development process requires a lot of time and close interdisciplinary collaboration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
