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首页> 外文会议>Proceedings of the 77th ASISamp;T annual meeting, Connecting collections, cultures, and communities >Multi-Aspect Information Use Task Performance: The Roles of Topic Knowledge, Task Structure, and Task Stage
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Multi-Aspect Information Use Task Performance: The Roles of Topic Knowledge, Task Structure, and Task Stage

机译：多方面信息使用任务绩效：主题知识，任务结构和任务阶段的作用

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摘要

Information search, quite often, is not an isolated activity,rnbut is accompanied by the use of the located information torngenerate some outcome. Frequently seen are “complex”rntasks that consist of multiple aspects and can be dividedrninto sub-tasks and/or finished in multiple sessions. Thisrnpaper explores how search systems may help users withrntheir multi-aspect tasks by examining whether, and howrnuser knowledge and task structure play roles in leading tornbetter work task performance. A 3-session lab experimentrnwas conducted with 24 participants, each coming 3 times tornwork on 3 subtasks of a general task, couched either as thern“parallel” or the “dependent” structure type. The overallrntask was to write a report on the general topic, with interimrndocuments produced for each subtask. Results show thatrnusers’ previous knowledge of task topics positivelyrncorrelated with task performance, but the evolving and thernexit knowledge did not. Neither task session nor taskrnstructure significantly affected session task performance.rnHowever, there was a tendency that those users withrndifferent levels of task knowledge performed differently inrndifferent tasks: higher knowledge users tended to performrnbetter in the parallel task than in the dependent; lowerrnknowledge users tended to perform better in the dependentrntask than in the parallel. These results can possibly bernexplained by users’ searching and writing behaviors. Ourrnfindings help understand factors influencing informationrnuse task performance, and have implications on designingrnpersonalized systems that support information use taskrnaccomplishment.
机译：信息搜索通常不是孤立的活动，而是伴随着使用定位的信息来产生一些结果的。经常看到的是由多个方面组成的“复杂”任务，可以将其划分为子任务和/或在多个会话中完成。本文探讨了搜索系统如何通过检查用户的知识和任务结构是否以及如何在导致更好的工作任务绩效中发挥作用来帮助用户完成其多方面的任务。进行了3个实验的实验，共有24位参与者，每位参与者分别完成3次常规任务的3个子任务的撕裂工作，以“平行”或“依赖”结构类型进行。总体任务是编写有关一般主题的报告，并为每个子任务生成临时文档。结果表明，用户以前对任务主题的了解与任务绩效成正相关，而不断发展的知识和退出的知识则没有。任务会话和任务结构都没有显着影响会话任务的性能。但是，存在一种趋势，即那些具有不同知识水平的用户执行不同的任务：具有较高知识的用户在并行任务中的表现往往比在从属任务中的表现更好。知识水平较低的用户在依存任务中的表现往往要好于并行任务。用户的搜索和书写行为可能会解释这些结果。我们的发现有助于理解影响信息使用任务性能的因素，并且对设计支持信息使用任务完成的个性化系统有影响。

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