Algorithms for Quantifying Human Behavioral Dynamics from Smartphone Sensor Data

计算机和计算机系统并不独立于人类行为。我们所处的位置和我们所做的工作推动了物理和虚拟基础设施中的布局和算法。这些行为的影响从计算机科学延伸到土木工程和建筑(我们在哪里，我们如何在太空中移动？)，公共卫生领域(我们接触了多长时间，与谁接触？)，甚至社会科学(空间如何调节流动性？)。这些行为中的许多都植根于我们所处的位置，我们与谁在一起，以及我们正在做什么。了解人们在哪里以及他们是谁有助于建模人员更好地了解空间的使用或疾病的传播，无线网络设计人员希望提供更好、更具响应性的服务，甚至社交机器人也知道他们可能会在哪里以及何时会见特定的个人。

Computers and computer systems are not independent of human behaviour. Where we are and what we do drives placement and algorithms in both physical and virtual infrastructure. The impact of these behaviours extend beyond computer science to civil engineering and architecture (where we are and how we move through space?), public health fields (for how long and with whom have we been in contact?), and even the social sciences (how is mobility mediated by space?). Many of these behaviours are anchored in where we are, who we are with, and what we are doing. Understanding where people are and who they are with helps modelers who seek to better understand the use of space or the spread of disease, wireless network designers looking to provide better more responsive service, and even social robots understand where and when they might meet specific individuals.