分析1亿次应用操作，发现工作日是干预数字碎片化的关键时段。
Digital Fragmentation and Generative AI Use Across 103 Million Application Events
- 基于103万次秒级应用记录，量化个体与组织间碎片化差异。
- 员工日间碎片化波动占44.6%，高于个体稳定差异（35.8%）。
- 生成式AI使用日更碎片化，但后续使用更集中、可预测。
知识工作者每天在应用间切换数千次，因数字碎片化导致几乎每年有十分之一的工作时间用于切换，其成因尚不明确。本研究分析了来自8个组织的1,017名知识型员工的1.03亿条秒级应用事件数据。结果显示，个体内部日间碎片化变化占总变异的44.6%，略高于个体间稳定差异（35.8%），远高于组织间差异（19.6%）。碎片化随工作周上升，周末和节假日后重置。通信类应用使用频率高于常态时，工作更碎片化；生成式AI使用也出现在更碎片化的日子，但使用后的应用行为更集中、持续时间更长、模式更可预测。结果表明，工作日是理解与干预数字碎片化的关键层级，提示生成式AI可能帮助结构化碎片化工作，而非仅加剧之。
原文摘要 · Abstract (English)
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.
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