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.

翻译：本文提出：(i) 一种通过虚拟机器人代理进行动机性注意力训练，利用人工智能辅助改善注意缺陷多动障碍儿童注意力的创新疗法；(ii) 一个整合不同利益相关者视角的开发流程。为此，我们采用三种参与式方法纳入各利益相关者的观点。首先面向德国父母开展在线调查（研究I），旨在了解他们是否愿意使用软件促进子女注意力发展、影响其使用态度的因素及软件需满足的要求。约半数父母表示愿意使用注意力促进软件。为尽可能贴近实践进行软件开发，一名开发者参加了针对多动症的强化培训，以测试各元素的技术可行性。随后，首个原型向临床医生展示（研究II）以进行进一步调整。最终与终端用户开展首次可行性测试（研究III），检验系统功能及儿童青少年对该系统的使用能力。研究表明，若注意力表现软件能根据从业者和终端用户需求进行适配，将为多动症治疗提供多种可能性。此开发过程需要大量时间投入与紧密的跨学科协作。