Differences in the Use of Search Assistance for Tasks of Varying Complexity
Differences in the Use of Search Assistance for Tasks of Varying Complexity
复制标题
DOI：
10.1145/2766462.2767741
复制
发表时间：
2015-08
期刊：
影响因子：
--
通讯作者：
Robert G. Capra;Jaime Arguello;Anita Crescenzi;E. Vardell
中科院分区：
文献类型：
--
作者：
Robert G. Capra;Jaime Arguello;Anita Crescenzi;E. Vardell
在本文中，我们研究了用户如何与搜索辅助工具进行交互，同时完成不同复杂度的任务。我们设计了一个新的工具，称为搜索指南（SG），显示搜索轨迹（查询发出，点击结果，书签页面）从三个以前的用户谁完成了任务。我们报告了一项实验室研究，48名参与者调查了可能影响用户与SG互动的不同因素，以及SG对不同结局指标的影响。参与者被要求为四个不同复杂程度的任务找到并标记页面，并向一半的参与者提供SG。我们收集了日志数据，并进行了回顾性刺激回忆访谈，以了解参与者使用SG。我们的研究结果表明以下趋势。第一，与秘书长的互动对于更复杂的任务来说更大。第二，任务的先验确定性（即，任务是否被认为是定义明确的）有助于预测参与者是否从SG获得书签。第三，与秘书长互动但没有获得书签的参与者比获得书签的参与者和没有互动的参与者感到系统支持较少。最后，我们的访谈的定性分析表明，不同层次的任务复杂性的动机和SG使用的好处的差异。我们的研究结果扩展了先前对搜索辅助工具的研究，并为系统设计提供了见解，以帮助用户完成复杂的搜索任务。
In this paper, we study how users interact with a search assistance tool while completing tasks of varying complexity. We designed a novel tool referred to as the search guide (SG) that displays the search trails (queries issued, results clicked, pages bookmarked) from three previous users who completed the task. We report on a laboratory study with 48 participants that investigates different factors that may influence user interaction with the SG and the effects of the SG on different outcome measures. Participants were asked to find and bookmark pages for four tasks of varying complexity and the SG was made available to half the participants. We collected log data and conducted retrospective stimulated recall interviews to learn about participants' use of the SG. Our results suggest the following trends. First, interaction with the SG was greater for more complex tasks. Second, the a priori determinability of the task (i.e., whether the task was perceived to be well-defined) helped predict whether participants gained a bookmark from the SG. Third, participants who interacted with the SG, but did not gain a bookmark, felt less system support than those who gained a bookmark and those who did not interact. Finally, a qualitative analysis of our interviews suggests differences in motivation and benefits from SG use for different levels of task complexity. Our findings extend prior research on search assistance tools and provide insights for the design of systems to help users with complex search tasks.