A diary study of information-intensive work tasks in the modern workplace: Investigating task descriptions and task processes

IF 5.1 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Afeng Wang, Yiming Zhao, Feicheng Ma
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引用次数: 0

Abstract

The work-task-based framework offers a cohesive perspective for understanding workplace information behavior, guiding empirical exploration of information engagement in modern work environments. This study investigates both task descriptions and task processes of information-intensive work tasks through diaries and follow-up interviews to capture authentic user experiences. Data from 52 work tasks across diverse organizations reveal that the most frequent topics include Reference, Business, Science, Society, and Computers, with Intellectual and Decision/Solution product types being predominant. Performers typically begin with moderate or high work task knowledge. On average, each work task involves 2.5 seeking tasks and 5.3 search tasks. Seeking tasks are mainly linked to resolution-oriented information use, while search tasks rely on external sources for factual resolution and verification. Work task topics, product, prior knowledge, subtasks, and duration significantly influence source selection and information use. As work tasks progress, the number of search tasks and clarification use decreases, whereas resolution and verification use increase. These findings refine theoretical models of task-driven information behavior and provide practical insights for designing adaptive information systems and AI tools to better support evolving work task processes and enhance work performance.

现代工作场所信息密集型工作任务的日记研究:调查任务描述和任务过程
基于工作任务的框架为理解工作场所信息行为提供了一个连贯的视角,指导了现代工作环境中信息参与的实证探索。本研究透过日记与追踪访谈,探讨资讯密集型工作任务的任务描述与任务过程,以获取真实的使用者体验。来自不同组织的52项工作任务的数据显示,最常见的主题包括参考、商业、科学、社会和计算机,其中智力和决策/解决方案产品类型占主导地位。执行者通常具有中等或较高的工作任务知识。平均每个工作任务包含2.5个搜索任务和5.3个搜索任务。寻求任务主要与面向解决的信息使用相关联,而搜索任务则依赖于外部资源进行事实解决和验证。工作任务主题、产品、先验知识、子任务和持续时间显著影响信息源选择和信息使用。随着工作任务的进展,搜索任务和澄清使用的数量减少,而解决和验证使用的数量增加。这些发现完善了任务驱动信息行为的理论模型,并为设计自适应信息系统和人工智能工具提供了实践见解,以更好地支持不断发展的工作任务流程并提高工作绩效。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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