企业电子邮件阅读时间的表征
Characterizing Reading Time on Enterprise Emails
摘要：
电子邮件是人们工作和生活中不可或缺的一部分，使他们能够进行通信，搜索，管理任务和存储信息等活动。现代电子邮件客户端向前迈进了一步，通过自动创建提醒、任务或响应来帮助提高用户的生产力。阅读行为可以说是用户与电子邮件进行的大多数（如果不是全部的话）交互中唯一共同的活动。在本文中，我们描述了用户如何阅读他们的企业电子邮件，并揭示了影响阅读时间的各种上下文因素。我们的方法首先基于主要电子邮件平台的阅读事件进行阅读时间分析，然后进行用户研究，为一些发现提供解释。我们确定了多个时间和用户上下文因素与阅读时间。例如，电子邮件阅读时间与用户设备相关：在桌面上，阅读时间在早上增加，中午达到峰值，但在移动设备上，阅读时间在晚上增加，直到午夜。阅读时间也与屏幕尺寸呈负相关。我们建立了用户状态和阅读时间之间的联系：当用户在一天中会议较少和繁忙的时候，他们会花更多的时间阅读电子邮件。此外，我们发现用户也会跨设备重读电子邮件。在跨设备阅读事件中，76%的重读邮件首先在移动设备上访问，然后在桌面上访问。总的来说，我们的研究是第一个在非常大的规模上描述企业电子邮件阅读时间的研究。这些发现为开发更好的指标和用户模型以理解和改善电子邮件交互提供了见解。
英文摘要：
Email is an integral part of people's work and life, enabling them to perform activities such as communicating, searching, managing tasks and storing information. Modern email clients take a step forward and help improve users' productivity by automatically creating reminders, tasks or responses. The act of reading is arguably the only activity that is in common in most -- if not all -- of the interactions that users have with their emails. In this paper, we characterize how users read their enterprise emails, and reveal the various contextual factors that impact reading time. Our approach starts with a reading time analysis based on the reading events from a major email platform, followed by a user study to provide explanations for some discoveries. We identify multiple temporal and user contextual factors that are correlated with reading time. For instance, email reading time is correlated with user devices: on desktop reading time increases through the morning and peaks at noon but on mobile it increases through the evening till midnight. The reading time is also negatively correlated with the screen size. We have established the connection between user status and reading time: users spend more time reading emails when they have fewer meetings and busy hours during the day. In addition, we find that users also reread emails across devices. Among the cross-device reading events, 76% of reread emails are first visited on mobile and then on desktop. Overall, our study is the first to characterize enterprise email reading time on a very large scale. The findings provide insights to develop better metrics and user models for understanding and improving email interactions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
