SCH: INT: Collaborative Research: Unobtrusive Sensing and Motivational Feedback for Family Wellness

该项目旨在设计、开发和评估一种名为FRESH(家庭常规、教育和感知健康)的创新家庭常规感知和反馈系统，该系统使家庭能够积极参与预防儿童肥胖和改善家庭健康。我们使用现成的移动设备(例如，平板个人电脑(PC)、智能手机)上的音频、运动和光传感器来开发不显眼的传感系统。集成了现成的可穿戴式体力活动检测设备，我们的系统将检测孩子的屏幕观看时长、家庭聚餐动态、睡眠质量和时长以及身体活动水平。平板电脑将通过虚拟宠物和视觉隐喻(如盛开的鲜花或正在生长的植物)来显示收集到的传感器数据。家庭在改善日常生活方面的进展将通过虚拟宠物和视觉隐喻反映出来，这些隐喻将出现在家庭全天活动的外围(例如，显示在起居室、父母的智能手机主屏幕上)。家庭将收到自动反馈和改善日常生活的建议。家庭成员还将看到其他家庭与他们相比表现如何，以获得鼓励和洞察力。我们计划在暑期邀请K-12学生参与我们项目的演示，增加科研动力，并向周围社区提高家庭健康意识。我们的技术将在项目完成后作为开放源码共享，以更广泛地传播和发展我们从项目中发展出来的科学。总体而言，我们的项目开发了新的临床支持方法和范例，让所有家庭成员和家庭社区参与到改善儿童和家庭健康的工作中来。该项目的目标是设计和评估Fresh系统，该系统自动感知家庭常规并提供激励反馈，以帮助家庭改善预防儿童肥胖症的日常生活。家庭日常生活，如睡眠、看屏幕、家庭晚餐和体育活动，都是儿童肥胖的关键预测因素。虽然许多移动健康设备专注于激励个人追求健康行为，但采取基于家庭和传感器的方法的系统一直处于探索之中。现有的技术还没有检测到家庭惯例对儿童肥胖症至关重要。Fresh通过日常生活中传感器数据驱动的视觉和文本反馈，为儿童、家庭和社区提供了一种参与家庭健康的吸引人的方式。该项目的技术优点包括：(1)开发和评估用于监测家庭日常生活的非侵入性传感技术；(2)形式化地评估在Fresh系统中设计的视觉和文本反馈；(3)评估系统部署的可行性和可接受性。为了实现这一目标，我们将使用参与式设计、访谈、日记、实地研究、实验和用户日志分析。

This project is to design, develop, and evaluate an innovative family routine sensing and feedback system called FRESH (Family Routine, Education, and Sensing Health), which empowers families to actively engage in preventing child obesity and improving family wellness. We develop unobtrusive sensing system using audio, motion, and light sensors from off-the-shelf mobile devices (e.g., Tablet personal computer (PC), smartphone). Integrated with an off-the-shelf wearable physical activity detection device, our system will detect screen viewing duration, family dinner dynamic, sleep quality and duration, and physical activity level of the child. The tablet PC will display collected sensor data through virtual pet and visual metaphors such as a blossoming flower or a growing plant. The family's progress toward improved routine will be reflected through the virtual pet and visual metaphors, which will be available in the periphery of the family's activities throughout the day (e.g., displayed in the living room, parents' smartphone home screen). Families will receive automated feedback and suggestions for improving their routine. Family members will also see how other families are doing compared to them for encouragement and insights. We plan to engage K-12 students during summer to play with the demonstration of our project, increase motivation for scientific research, and increase awareness of family wellness to the surrounding communities. Our technology will be shared as an open-source after the completion of the project for broader dissemination and development of the science we have developed from our project. Overall, our project develops new methods and paradigms of clinical support that engage all family members and a community of families in improving child and family health.The goal of this project is to design and evaluate the FRESH system, which automatically senses family routine and gives motivational feedback to help families improve daily routines for child obesity prevention. Family routines, such as sleep, screen viewing, family dinner, and physical activity, are critical predictors of child obesity. While many mobile health devices focused on motivating individuals to pursue healthy behaviors, systems that take a family- and sensor-based approach have been under explored. No existing technologies sense family routines critical to child obesity. With visual and textual feedback driven by sensor data on routines, FRESH offers an engaging way for the children, the family, and the community to involve in family wellness. The technical merits of the project includes: (1) Develop and evaluate unobtrusive sensing technology for monitoring family routines; (2) Formatively assess designing visual and textual feedback in the FRESH system; (3) Evaluate the feasibility and acceptability of the system deployment. To fulfill the objective, we will use participatory design, interviews, diaries, field studies, experiments, and user log analysis.