用路径分析法分析任务类型

M. Mitsui, C. Shah
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引用次数: 6

摘要

许多过去的研究工作已经检查了可观察的搜索行为、驱动搜索的任务和用户特征(如搜索专业知识和主题熟悉度)之间的关系。这些研究通常着眼于特征之间的两两关系,以表明任务特征或用户特征可以通过浏览行为的差异来区分。最近的工作已经转向从浏览行为中检测和预测任务,但没有额外考虑明显影响浏览的用户或会话特征。在从浏览行为推断任务类型时,应该在多大程度上考虑用户特征和未登录特征?本文通过路径分析的视角考察了这种复杂的关系,表明在未来的任务预测研究中应该考虑这种整体的观点。未来的任务预测工作应该考虑从任务到行为的直接联系,通过其他因素的间接联系,以及影响浏览的其他特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Broad View of Task Type Using Path Analysis
Many past research efforts have examined the relationships between observable search behaviors, the task that drives searching, and user characteristics such as search expertise and topic familiarity. These studies often look at pairwise relationships between characteristics to show that task characteristics or user characteristics can be distinguished by differences in browsing behavior. Recent work has moved toward detecting and predicting task from browsing behavior but has not additionally considered user or session characteristics that clearly affect browsing. To what extent should user characteristics and unlogged traits be considered when inferring task type from browsing behavior? This paper examines this complex relationship through the lens of path analysis, showing that such a holistic view should be considered in future task prediction research. Future task prediction work should consider direct links from task to behavior, indirect links through other factors, and other characteristics that affect browsing.
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