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: 1622626
• 负责人: Jina Huh-Yoo
• 金额: $ 94.15万
• 依托单位: University of California-San Diego
• 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 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1622626&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.

本项目旨在设计、开发和评估一种名为FRESH （family routine, Education, and sensing Health）的创新家庭日常感知和反馈系统，使家庭能够积极参与预防儿童肥胖和改善家庭健康。我们使用现成的移动设备（例如，平板电脑个人电脑（PC），智能手机）的音频，运动和光传感器开发不显眼的传感系统。我们的系统集成了一个现成的可穿戴身体活动检测设备，可以检测孩子的屏幕观看时间、家庭晚餐动态、睡眠质量和持续时间以及身体活动水平。这款平板电脑将通过虚拟宠物和盛开的花朵或正在生长的植物等视觉隐喻来显示收集到的传感器数据。家庭日常生活的改善将通过虚拟宠物和视觉隐喻来体现，这些虚拟宠物和视觉隐喻将全天在家庭活动的周边出现（例如，显示在客厅、父母的智能手机主屏幕上）。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发展出来的科学。总的来说，我们的项目开发了新的临床支助方法和范例，使所有家庭成员和家庭社区参与改善儿童和家庭健康。本项目的目标是设计和评估FRESH系统，该系统可以自动感知家庭日常生活，并提供激励性反馈，帮助家庭改善日常生活，预防儿童肥胖。家庭习惯，如睡眠、看屏幕、家庭聚餐和体育活动，是儿童肥胖的关键预测因素。虽然许多移动医疗设备侧重于激励个人追求健康行为，但正在探索采用基于家庭和传感器的方法的系统。没有任何现有的技术能够感知到家庭惯例对儿童肥胖至关重要。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。该项目的技术优点包括：(1)开发和评估用于监测家庭日常活动的不显眼的传感技术；(2)形式化地评估FRESH系统中设计视觉和文本反馈；(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。