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

SCH：INT：合作研究：家庭健康的低调感知和动机反馈

• 批准号: 1622659
• 负责人: Xiaoming Liu
• 金额: $ 87.92万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1622659&HistoricalAwards=false
• 关键词: SCH; INT; Collaborative; Research; Unobtrusive

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.

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，使家庭能够积极参与预防儿童肥胖和改善家庭健康。我们使用来自现成的移动的设备（例如，平板个人计算机（PC）、智能手机）。与现成的可穿戴身体活动检测设备集成，我们的系统将检测屏幕观看时间，家庭晚餐动态，睡眠质量和持续时间以及儿童的身体活动水平。平板电脑将通过虚拟宠物和视觉隐喻（如盛开的花朵或生长的植物）显示收集的传感器数据。家庭朝着改进的日常生活的进展将通过虚拟宠物和视觉隐喻来反映，这些虚拟宠物和视觉隐喻将在家庭全天活动的外围可用（例如，显示在客厅、父母的智能手机主屏幕）。家庭将收到自动反馈和建议，以改善他们的日常生活。家庭成员也会看到其他家庭与他们相比是如何做的，以获得鼓励和见解。我们计划在夏季让K-12学生参与我们项目的演示，增加科学研究的动力，并提高周围社区对家庭健康的认识。我们的技术将在项目完成后作为开源共享，以便更广泛地传播和发展我们从项目中开发的科学。总的来说，我们的项目开发了新的临床支持方法和模式，使所有家庭成员和家庭社区参与改善儿童和家庭健康。该项目的目标是设计和评估FRESH系统，该系统自动感知家庭日常生活，并提供激励反馈，以帮助家庭改善日常生活，预防儿童肥胖。家庭惯例，如睡眠，看屏幕，家庭晚餐和体育活动，是儿童肥胖的关键预测因素。虽然许多移动的健康设备专注于激励个人追求健康的行为，但采用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对儿童肥胖至关重要的家庭习惯。通过传感器数据驱动的视觉和文本反馈，FRESH为儿童、家庭和社区提供了一种参与家庭健康的方式。该项目的技术优势包括：（1）开发和评估用于监测家庭日常生活的非侵入式传感技术;（2）形成性地评估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。