Algorithms for Quantifying Human Behavioral Dynamics from Smartphone Sensor Data

从智能手机传感器数据量化人类行为动力学的算法

• 批准号: RGPIN-2015-06318
• 负责人: Stanley, Kevin
• 金额: $ 1.31万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634472
• 关键词: Algorithms; Quantifying; Human; Behavioral; Dynamics

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.

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事情推动了物理和虚拟基础设施中的放置和算法。这些行为的影响超越了计算机科学，延伸到土木工程和建筑（我们在哪里，我们如何在空间中移动？），公共卫生领域（我们与谁接触了多久？），甚至是社会科学（空间如何调节流动性？）。这些行为中的许多行为都与我们在哪里、我们和谁在一起以及我们在做什么有关。了解人们在哪里以及他们与谁在一起，可以帮助建模者更好地了解空间的使用或疾病的传播，无线网络设计师希望提供更好的响应服务，甚至社交机器人也可以了解他们何时何地可能遇到特定的人。