跨越1.03亿次应用事件的数字碎片化与生成式人工智能使用

中文摘要 AI 辅助

知识工作者每天在应用程序之间切换数千次，在所谓的数字碎片化过程中，近十分之一的工作时间用于在数字应用程序之间切换。这种碎片化是否反映了员工是谁、在哪里工作或当天的工作状态，仍是一个悬而未决的问题。我们分析了来自八个主要雇佣知识工作者（如法律、金融服务）的组织的1017名员工每秒记录的1.03亿次应用事件。个体员工内部碎片化的日常变化占数字碎片化变化的44.6%，略高于员工之间稳定的个体差异（35.8%），远高于组织之间的差异（19.6%）。碎片化在工作周上升，在周末和节假日后重置。通信应用程序的高于典型使用与更碎片化的工作同时出现。生成式人工智能的使用也发生在更碎片化的日子，但在人工智能使用后的时间段内，应用程序使用的范围更窄、时间更长且更可预测。这些发现确定工作日是理解和干预数字碎片化的关键层面，并表明人工智能可能有助于构建碎片化工作，而不仅仅是加剧它。

英文摘要

Knowledge workers switch between applications thousands of times per day, spending nearly a tenth of the work year transitioning between digital applications in a process called digital fragmentation. Whether this fragmentation reflects who an employee is, where they work, or what kind of day they are having, has remained an open question. We analyzed 103 million application events recorded second-by-second from 1,017 employees across eight organizations that largely employ knowledge workers (e.g., law, financial services). Day-to-day variation in fragmentation within individual employees accounted for 44.6% of the variation in digital fragmentation, slightly exceeding stable individual differences between employees (35.8%), and far exceeding variation between organizations (19.6%). Fragmentation rose over the work week and reset after weekends and holidays. Higher-than-typical use of communication applications coincided with more fragmented work. Generative AI use also occurred on more fragmented days, but the period following AI use was marked by narrower, longer, and more predictable application use. These findings identify the workday as a key level for understanding and intervening on digital fragmentation and suggest that AI may help structure fragmented work rather than merely intensify it.

发表机构

• Artificial Intelligence Institute, Harvard Business School（哈佛商学院人工智能研究所）
• Negotiation, Organizations and Markets Unit, Harvard Business School（哈佛商学院谈判、组织与市场单位）

机构由 AI 辅助整理，请以论文原文为准。