SCH: Striking a Balance: Trust and Privacy in Using Adolescents' Data for Diabetes Self-Management

我们提出了一种以人为中心的人工胰腺装置(AP)的开发方法 自动为患有1型糖尿病的青少年和年轻人提供胰岛素。建议的方法 将根据规划和部署的实时指标，通过智能推送来增强现有AP设备 持续的活动，认知负荷，以及情绪和压力等心理社会指标。这些建议会有所帮助的 1型糖尿病患者调整饮食、体力活动和胰岛素注射等行为 以使他们的血糖水平维持在一个严格的“正常血糖”范围内，同时 避免与极低和极高血糖水平有关的不良事件。我们推荐的人选- 中心人工胰腺(PCAP)方法将增强现有的控制系统，以反映更多 对用户的生理、认知、心理社会和行为状态及支持的细微理解 用户与辅助设备持续协作管理慢性病的亲身体验。 使用有关生理状态(血糖、心率、体力活动和疾病)的实时数据； 来自用户与设备交互的行为数据；以及认知负荷、压力、注意力的测量 和通过精心设计的简短问卷获得的信任，PCAP将建立全人模型 跟踪心理状态，包括情景意识、认知负荷、注意力和压力，以便 预测未来的行为。决策算法将使用这些模型来确定 轻推的参数，包括内容、重要性和频率。我们的多学科团队也将 研究用于提供这些提示并跟踪用户响应的用户界面的设计 他们。提出了一系列涉及青少年的可行性/临床前使用者研究，以评估 所提出的PCAP系统的正确性、可靠性和有效性。重要的较长期问题 将仔细调查周围的信任和隐私，以便为PCAP的设计提供信息。建议数 多成分认知模型将融合包括人机在内的各种领域的想法 交互、心理学、移动系统、概率建模、推理、学习和控制 特别注重建立有效的患者“轻推”以改善糖尿病自我的经验基础 在不增加工作量或引起对病人病情的过度关注的情况下进行管理。而当 该项目的重点是1型糖尿病的治疗，拟议的基本技术将扩展 用于管理其他慢性疾病，其中可穿戴传感器和移动设备的集成 设备作为多组分干预的一部分，也可以指导采用和维护健康 行为。拟议的研究还将调查用户隐私和道德的重要方面 考虑到像PCAP这样的辅助医疗设备，考虑到这些设备可以推断 用户生活的私密细节。 相关性(请参阅说明)： 项目的总体目标是解决战略的关键需求，以优化连续 血糖监测仪，可以改善1型青少年和年轻人血糖控制的设备 糖尿病，但往往没有习惯到最佳的程度。教育和行为干预策略 在这个项目中，通过尝试改善全人糖尿病自我，与公共健康相关 在努力实现目标血糖控制的人群中进行管理和血糖控制， 降低短期和长期风险

We propose a whole person-centered approach for the development of artificial pancreas devices (AP) that automates insulin delivery for adolescents and young adults with type-1 diabetes. The proposed approach will enhance existing AP devices by means of "smart nudges" based on real-time indicators of planned and ongoing activity, cognitive load, and psychosocial measures like mood and stress. These nudges will help individuals with type 1 diabetes adapt their behaviors such as meals, physical activity and insulin bolusing to the AP device in order to maintain their blood glucose levels inside a tight "euglycemic" range while avoiding adverse events linked to extremely low and high blood glucose levels. Our proposed person- centered artificial pancreas (PCAP) approach will enhance existing control systems to reflect more nuanced understandings of users’ physiological, cognitive, psychosocial, and behavioral states and support users’ lived experiences of managing chronic conditions in continuous collaboration with assistive devices. Using real-time data on the physiological state (blood glucose, heart-rate, physical activity, and illness); behavioral data from user interactions with the device; and measures of cognitive load, stress, attention and trust obtained through carefully designed short questionnaires, PCAP will build whole person models that track mental states including situational awareness, cognitive load, attention, and stress in order to predict future behaviors. These models will be used by a decision-making algorithm to determine the parameters for a nudge, including content, importance and frequency. Our multidiscplinary team will also investigate the design of a user-interface for delivering these nudges and tracking the user response to them. A series of feasibility/preclinical user studies involving adolescents are proposed in order to evaluate the correctness, reliability, and efficacy of the proposed PCAP system. Important longer-term issues surrounding trust and privacy will be carefully investigated to inform the design of PCAP. The proposed multicomponent cognitive models will incorporate ideas from a variety of fields including human–computer interaction, psychology, mobile systems, probabilistic modeling, inference, learning and control, with a particular focus on establishing an empirical basis for effective patient "nudging" to improve diabetes self- management without increasing workload or drawing undue attention to the patient’s condition. While the focus of the project is on the treatment of type-1 diabetes, the proposed fundamental techniques will extend to the management of other chronic conditions where the integration of wearable sensors and mobile devices as part of multicomponent interventions can also guide the adoption and maintenance of healthy behaviors. The proposed research will also investigate important aspects of user privacy and ethical considerations in assistive medical devices like PCAP, given the possibility of these devices to infer intimate private details about their users’ lives. RELEVANCE (See instructions): The overall project goal is to address the critical need for strategies to optimize the use of continuous glucose monitors, devices that can improve glycemic control in adolescents and young adults with type 1 diabetes, but are often not used to optimal degree. The educational and behavioral intervention strategies in this project are relevant to public health by attempting to improve whole person diabetes self- management and glycemic control in a population who struggles to achieve target glycemic control, reducing risk of short- and long-term