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Relationships between work task types, complexity and dwell time of information resources

机译:工作任务类型,信息资源的复杂性和停留时间之间的关系

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Information seeking research often reports about types of information resources, ways of acquiring them and opinions on their importance in various professions. Based on self-reporting, these findings are affected by human memory and rationalisation. This article proposes a new way of studying information resource use – based on dwell time in the context provided by concrete work tasks. We use log data of 21 information workers from six organisations to analyse how work task complexity is connected to the time used in various information resources; how task complexity is connected to information resource use in different task types. Unlike traditionally, our findings consist of objective data on which resource types are used, and for how long, in work tasks of varying complexity and type. For example, the findings suggest that growing work task complexity increases the dwell time in local personal computer (PC) resources; these resources are especially popular in intellectual tasks. Such findings help understand factors affecting information resource use. Likewise, they help focus attention on most time-consuming aspects of task-based information interaction when developing support for work.
机译:信息搜索研究通常会报告有关信息资源的类型,获取方式以及对它们在各个专业中的重要性的看法。基于自我报告,这些发现会受到人类记忆和合理化的影响。本文提出了一种研究信息资源使用的新方法-基于具体工作任务提供的停留时间。我们使用来自六个组织的21名信息工作者的日志数据来分析工作任务的复杂性如何与各种信息资源中使用的时间相关联;如何将任务复杂性与不同任务类型中的信息资源使用联系起来。与传统上不同,我们的发现包括客观数据,这些数据涉及复杂程度和类型各异的工作任务中使用的资源类型以及使用时间。例如,研究结果表明,工作任务的复杂性不断提高,增加了本地个人计算机(PC)资源的停留时间;这些资源在智力任务中特别受欢迎。这些发现有助于了解影响信息资源使用的因素。同样,它们在开发对工作的支持时有助于将注意力集中在基于任务的信息交互的最耗时的方面。

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