A faceted approach to conceptualizing tasks in information seeking

被引:227
作者
Li, Yuelin [1 ]
Belkin, Nicholas J. [2 ]
机构
[1] Univ So Mississippi, Sch Lib & Informat Sci, Hattiesburg, MS 39401 USA
[2] Rutgers State Univ, Sch Commun Informat & Lib Studies, New Brunswick, NJ 08901 USA
关键词
Work task; Search task; Task classification; Information-seeking behavior; Information search behavior;
D O I
10.1016/j.ipm.2008.07.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The nature of the task that leads a person to engage in information interaction, as well as of information seeking and searching tasks, have been shown to influence individuals' information behavior. Classifying tasks in a domain has been viewed as a departure point of studies on the relationship between tasks and human information behavior. However, previous task classification schemes either classify tasks with respect to the requirements of specific studies or merely classify a certain category of task. Such approaches do not lead to a holistic picture of task since a task involves different aspects. Therefore, the present study aims to develop a faceted classification of task, which can incorporate work tasks and information search tasks into the same classification scheme and characterize tasks in such a way as to help people make predictions of information behavior. For this purpose, previous task classification schemes and their underlying facets are reviewed and discussed. Analysis identifies essential facets and categorizes them into Generic facets of task and Common attributes of task. Generic facets of task include Source of task, Task doer, Time, Action, Product, and Goal. Common attributes of task includes Task characteristics and User's perception of task. Corresponding sub-facets and values are identified as well. In this fashion, a faceted classification of task is established which could be used to describe users' work tasks and information search tasks. This faceted classification provides a framework to further explore the relationships among work tasks, search tasks, and interactive information retrieval and advance adaptive IR systems design. Published by Elsevier Ltd.
引用
收藏
页码:1822 / 1837
页数:16
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