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

人们在重复执行相同的动作序列时会形成惯例。毒品通过释放人们提供了巨大的好处？他们的注意力，让他们执行他们的日常任务，而不是不断思考每一件小事，他们必须做的。当人们必须偏离他们的日常生活时，问题开始出现。家庭在很大程度上依赖于他们的日常工作来解决工作、学校、家庭和丰富活动的复杂后勤和相互冲突的议程。然而，家庭经常偏离他们的日常生活，当计划发生故障时，他们会觉得自己的生活失去了控制。本研究将开发一个系统，学习家庭成员的日常活动，并利用该模型的计划系统，以生成未来的推测性计划。 该系统还将预测与预定偏差的冲突，并检测计划何时开始失败，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沿着他们的计划偏差和一个小的提醒应用程序，帮助人们制定他们的计划，并在计划失败时支持他们，将形成评估基础系统的基础。这项研究在机器学习和规划技术的新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，这项研究提供了智能，无处不在的计算技术如何影响家庭的见解？控制感和生活质量。拟议的工作有可能通过减少因计划和惯例中断而造成的压力，大大改善数百万家庭的生活质量。减轻压力可以提高婚姻质量、养育质量以及儿童的身心健康。我们将让本科生和研究生参与我们的研究，并将我们的研究结果纳入我们关于无处不在的计算，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非科学为重点的学生科学和暴露科学为重点的学生设计的调查方法。

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.