CAREER: HCC: Advancing Personal Wellbeing through Everyday Meaningful Self-Tracking Experiences

在美国，像数字计步器、食物日志应用程序和情绪监测应用程序这样的自我跟踪技术构成了一个近200亿美元的产业，超过40%的美国成年人使用过一半的初级保健提供者推荐的技术。然而，人们往往无法从这些技术收集的健康和福祉数据中受益。一个原因是，人们发现这些技术的设计忽略了他们日常生活的现实，就他们可以实际承担的事情和他们可用的资源而言。为了帮助研究人员和行业更好地将自我跟踪技术的设计与人们的现实相结合，该项目将深入了解自我跟踪技术如何支持更有意义的参与，以帮助人们改善他们的健康。在意义理论的基础上，研究团队将设计、创建和部署三个新颖的应用程序，以解决个人信息学中尚未充分研究的意义的三个方面：连通性、共鸣和重要性。第一个是一个web应用程序，用于在表盘上创建可定制的身体活动数据表示，以促进人们的价值观、兴趣和数据之间更深层次的个人联系。研究小组将进一步在一个高中暑期项目中利用这个网络应用程序，向学生介绍计算机、设计和自我跟踪等方面的知识。第二个是一个公共数字显示屏，显示家庭共享的饮食经历，以增强家庭成员之间的联系和共鸣。第三个涉及心理健康治疗中使用的有效量表的注释工具，允许人们交流他们收集的数据的重要性，作为他们治疗的一部分。根据人们对这些方法的生活经验，研究小组将综合这些研究的结果，创建一个经验验证的框架，描述如何设计有意义的自我跟踪互动。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Self-tracking technologies like digital pedometers, food journaling apps, and mood-monitoring apps make up a nearly $20 billion industry in the U.S., with over 40% of U.S. adults having used one and half of primary care providers recommending one. However, people often fail to benefit from the health and wellbeing data collected from these technologies. One reason is that people find the design of these technologies ignores the realities of their everyday lives, in terms of what they can realistically undertake and what resources they have available to them. To help researchers and industry better align the design of self-tracking technology with people's realities, this project will establish deeper understanding of how self-tracking technology can support more meaningful engagement to help people improve their wellbeing.Grounded in theories of meaningfulness, the research team will design, create, and deploy three novel applications that address three aspects of meaningfulness that are understudied in personal informatics: connectedness, resonance, and significance. The first is a webapp for creating customizable representations of physical activity data on watch faces, to promote deeper personal connection between people's values, interests, and their data. The research team will further utilize the webapp in a high school summer program for historically underrepresented groups in computing to introduce students to computing, design, and self-tracking around wellbeing. The second is a communal digital display surfacing shared eating experiences in families, to enhance bonding and resonance among family members. The third involves annotation tools for validated scales used in mental health treatment, to allow people to communicate the significance of the data they collect as part of their care. Informed by people's lived experiences with these approaches, the research team will synthesize the results of these studies to create an empirically validated framework describing how to design meaningful self-tracking interactions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.