Search Interfaces and Learning about Controversial Topics

L. Salmerón
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引用次数: 1

Abstract

Search engine results pages (SERPs) are a frequent gateway to Internet content. Prior research has extensively documented strong effects of SERPs (e.g. rank order or the spatial distribution of the results) on users' attention to and selection of particular Web pages [1,2]. In the context of Web search, a common user behavior is the 'top link' or 'Google trust' heuristic, that is, the inspection and selection of only the first few search results presented by the search engine, without evaluating all other search results available. This heuristic behavior allows users to find information in an efficient way, as search engines tend to provide relevant documents on top of the list, especially when it comes to simple facts. But just relying on the top results of the SERP to access information may not be as efficient when users search for learning purposes about controversial topics, such as climate change, for at least two reasons. First, users can be easily mislead by, for example, commercially biased Web Pages located on top of the SERP [3,4]. Second, by looking at just few hits users miss the opportunity to use SERP information to reflect on the relationships between available web pages, an essential step when learning about controversial topics [5]. An emerging research line is currently exploring the role of SERPs in supporting users from different student populations to search the Internet for learning purposes. Based on a synthesis of existing research, in this talk I will argue that SERPs' design can influence users' perceptions and learning of controversial topics, to the extent that design can counteract the effects of 'top link' heuristic [5,6,7]. In addition, I will show that SERP effects are moderated by users (e.g. prior knowledge) [4,8] and task's characteristics (e.g. task complexity) [3]. Finally, I will present results from a recent short intervention study designed to support users' systematic exploration of SERPs when learning about a controversial topic.
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搜索界面和学习有争议的话题
搜索引擎结果页面(serp)是访问Internet内容的常用门户。先前的研究已经广泛地记录了serp(例如排名顺序或结果的空间分布)对用户对特定网页的关注和选择的强烈影响[1,2]。在Web搜索的上下文中,常见的用户行为是“顶部链接”或“谷歌信任”启发式,即只检查和选择搜索引擎提供的前几个搜索结果,而不评估所有其他可用的搜索结果。这种启发式行为允许用户以一种有效的方式查找信息,因为搜索引擎倾向于在列表顶部提供相关文档,特别是在涉及简单事实时。但是,当用户搜索有争议的话题(如气候变化)时,仅仅依靠搜索引擎搜索结果的顶部结果来获取信息可能不那么有效,原因至少有两个。首先,用户很容易被例如位于SERP顶部的带有商业偏见的网页所误导[3,4]。其次,用户只看了几个点击,就错过了使用SERP信息来反映可用网页之间关系的机会,这是了解有争议话题b[5]的重要步骤。一个新兴的研究路线正在探索serp在支持来自不同学生群体的用户为学习目的而搜索互联网方面的作用。基于对现有研究的综合,在本次演讲中,我将论证serp的设计可以影响用户对有争议话题的感知和学习,在某种程度上,设计可以抵消“顶部链接”启发式的影响[5,6,7]。此外,我将证明SERP效应受到用户(如先验知识)[4,8]和任务特征(如任务复杂性)[3]的调节。最后,我将介绍最近一项短期干预研究的结果,该研究旨在支持用户在了解有争议的话题时系统地探索serp。
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Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality Metacognitive Judgments in Searching as Learning (SAL) Tasks: Insights on (Mis-) Calibration, Multimedia Usage, and Confidence Search Interfaces and Learning about Controversial Topics Proceedings of the 1st International Workshop on Search as Learning with Multimedia Information
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