HCC: Small: Designing and Understanding Technology Mediated Reflection to Improve Well-Being

这是一项结合了医学信息学、人机交互和行为科学的多学科研究计划，旨在探索有效的以用户为中心的技术中介反思(TMR)以促进心理健康。它将设计、开发和评估一类全新的以用户为中心的TMR系统，从而创造出也将有更广泛应用的方法。目前，人们在进行TMR时遇到了记忆和依从性问题。然而，这些问题可以通过计算干预来解决，使用移动工具以用户为中心的TMR来捕获关于个人事件的数据，并支持对这些事件的情绪反应的反映。这些移动增强工具将通过轻量级、用户定制和上下文感知来克服独立反射的关键限制，并将支持对积极和消极事件的自适应提醒。新奇的可视化也应该提高人们的能力？S推断情绪行为的一般模式，以促进长期的行为改变。这项研究使用来自先前社会科学的预测，当用户提醒自己积极的事件，适应性地处理负面的过去经历，并改变对事件的长期行为模式时，测试TMR改善幸福感的有效性。然后，这项研究将为社会科学和心理学贡献基本的新科学知识，部分原因是收集的关于现实生活经历中记忆状态的数据超出了学术实验室的可能测量范围。此外，该项目将开发技术来分析对同一事件的回忆如何随着时间的推移而变化。这将允许开发关于记忆、情绪和幸福感之间关系的新的心理学和临床模型。相当一部分人一生中至少经历一次严重的抑郁发作，焦虑等其他问题也很常见，但许多人对传统治疗方式反应不佳，这些问题的确切界限也界定不清。有效的TMR可以通过提供新的工具和实验平台来解决这些紧迫的问题，这将使TMR干预措施能够进行严格的测试，满足在精神卫生保健领域进行颠覆性干预的呼声。目前一些治疗形式的一个局限性可能是，利益不能很好地从受助者的办公室转移到受助者的日常生活中，而移动TMR可能会弥合这一差距。用移动设备撰写的日记还可以促进对历史事件的更正式描述，从而促进公民科学的出现，在公民科学中，普通用户与其他学者和社会科学家合作，完成有价值的项目，体验终身学习的丰富。该项目还将在人机交互、医学信息学和心理学的跨学科领域培训本科生和研究生。

This is a multidisciplinary research program combining medical informatics, human-computer interaction and behavioral science exploring effective user-centric technology mediated reflection (TMR) to promote psychological well-being. It will design, develop and evaluate a radically new class of user-centric TMR system, thereby creating methods that will have much wider applications as well. People currently experience problems of memory and compliance in carrying out TMR. However these problems are addressable by computational intervention using mobile tools for user-centric TMR to capture data about personal events and support reflection about emotional reactions to those events. These mobile augmentation tools will overcome critical limitations of unaided reflection, by being lightweight, user tailored and context-aware, and they will support adaptive reminding about positive and negative events. Novel visualizations should also improve people?s ability to infer general patterns in emotional behavior in order to promote long-term behavior change. Using predictions derived from prior social science, this research will test the efficacy of TMR for improved well-being when users remind themselves about positive events, adaptively deal with negative past experiences, and modify long-term behavioral patterns in response to events. The research will then contribute fundamental new scientific knowledge to the social and psychological sciences, in part because collection of data about memory states during real life experiences goes beyond what it is possible to measure within the confines of academic laboratories. In addition, the project will develop techniques to analyze how reminiscences about the same event change over time. This will allow the development of new psychological and clinical models concerning the relations between memory, emotions and well-being. A significant fraction of the population experiences a major depressive episode at least once in their life, and other problems such as anxiety are also common, yet many people respond poorly to conventional forms of treatment, and the exact boundaries of these problems are poorly defined. Effective TMR can address these pressing problems, by providing new tools and an experimental platform that will enable the rigorous testing of TMR interventions, addressing calls for disruptive interventions in mental healthcare. It may be that one limitation of some current forms of treatment is that the benefits do not transfer well from the help-giver's office to the client's daily life, and mobile TMR may bridge that gap. Diaries composed with mobile devices can also contribute to more formal accounts of historical events, thereby facilitating the emergence of citizen science in which ordinary users collaborate with each other scholars and social scientists, to complete valuable projects and experience the enrichment of life-long learning. This project will also train undergraduates and graduate students in an interdisciplinary area of human computer interaction, medical informatics, and psychology.