HCC: Small: Learning Routines to Support People's Activities

HCC：小型：支持人们活动的学习程序

• 批准号: 1017429
• 负责人: Anind Dey
• 金额: $ 49.96万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017429&HistoricalAwards=false
• 关键词: HCC; Small; Learning; Routines; Support

People construct routines as they repeatedly perform the same sequence of actions. Routines provide a huge benefit by freeing people?s attention, allowing them to carry out their daily tasks without constantly thinking about every little thing they must do. Problems begin to arise when people must deviate from their routines. Families rely heavily on their routines to address the complex logistics and conflicting agendas of work, school, family, and enrichment activities. However, families often deviate from their routines, and when breakdowns in the plans occur, they feel their lives are out of control.This research will develop a system that learns the routine movements of family members, and a planning system that leverages this model in order to generate a speculative plan for future days. The system will also predict conflicts with scheduled deviations and detect when plans begin to breakdown, such as when someone forgets to deviate from a routine. A calendar interface that displays the routine movements of family members along with their scheduled deviations and a small set of reminder applications that help people enact their plans and that support them when plans breakdown will form the basis for evaluating the underlying systems. This research is transformative in the novel integration of machine learning and planning techniques, and its application to a real-world and complex problem. Finally, this research provides insights on how intelligent, ubiquitous computing technology influences families? feelings of control and their quality of life. The proposed work has the potential to significantly improve the quality of life for millions of families by reducing stress caused from breakdowns in plans and routines. Lowering stress can improve the quality of marriages, the quality of parenting, and the physical and mental health of children. We will involve undergraduate and graduate students in our research and will incorporate our findings into our courses on ubiquitous computing, interaction design, and on smart homes. We expect that our focus on a social problem will attract non-science-focused students to science and expose science-focused students to design methods of inquiry.

当人们重复执行相同的动作序列时，他们就会形成惯例。例行公事通过解放人们提供了巨大的好处？让他们能够专注于自己的日常工作，而不用总是想着每一件必须要做的小事。当人们不得不偏离他们的常规时，问题就开始出现了。家庭在很大程度上依赖于他们的日常生活来处理工作、学校、家庭和丰富活动之间复杂的后勤和相互冲突的议程。然而，家庭经常偏离他们的常规，当计划发生故障时，他们觉得自己的生活失控了。这项研究将开发一个系统来学习家庭成员的日常活动，以及一个计划系统，利用这个模型来为未来的日子产生一个投机性的计划。该系统还将预测与计划偏差的冲突，并检测计划何时开始崩溃，例如当有人忘记偏离常规时。一个日历界面，显示家庭成员的日常活动以及他们的计划偏差，以及一小组提醒应用程序，帮助人们制定他们的计划，并在计划失败时支持他们，这将形成评估底层系统的基础。这项研究在机器学习和规划技术的新颖集成及其在现实世界和复杂问题中的应用方面具有变革性。最后，本研究提供了关于智能、普适计算技术如何影响家庭的见解。控制感和生活质量。这项提议的工作有可能通过减少因计划和日常事务中断而造成的压力，显著改善数百万家庭的生活质量。减轻压力可以改善婚姻质量、养育子女的质量以及孩子的身心健康。我们将让本科生和研究生参与我们的研究，并将我们的发现纳入我们关于普惠计算、交互设计和智能家居的课程中。我们希望我们对社会问题的关注将吸引不关注科学的学生关注科学，并让关注科学的学生了解探究的设计方法。