论文标题

盐水数据集:搜索和眼睛目光的行为,资源交互和在网络搜索期间的知识增益

SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search

论文作者

Otto, Christian, Rokicki, Markus, Pardi, Georg, Gritz, Wolfgang, Hienert, Daniel, Yu, Ran, von Hoyer, Johannes, Hoppe, Anett, Dietze, Stefan, Holtz, Peter, Kammerer, Yvonne, Ewerth, Ralph

论文摘要

学习时,新兴的研究领域搜索研究了Web如何通过现代信息检索系统促进学习。 SAL Research需要大量的数据,以捕获用户及其获得的知识的搜索行为,以获得最终的见解或训练监督的机器学习模型。但是,此类数据集的创建成本很高,需要跨学科的努力才能设计研究并捕获广泛的功能。在本文中,我们解决了这个问题,并根据用户研究引入了广泛的数据集,其中要求参与者$ 114 $,以了解闪电和雷声的形成。通过多项选择问卷和基于论文的免费召回任务,在网络搜索之前和之后衡量了参与者的知识状态。为了实现与萨尔有关任务的未来研究,我们记录了许多功能和与人有关的属性。除了屏幕录制,访问的网页以及详细的浏览历史记录外,还监视了许多行为特征和资源功能。我们通过描述三个已经发布的用例来强调数据集的有用性。

The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts of data that capture both search behavior of users and their acquired knowledge in order to obtain conclusive insights or train supervised machine learning models. However, the creation of such datasets is costly and requires interdisciplinary efforts in order to design studies and capture a wide range of features. In this paper, we address this issue and introduce an extensive dataset based on a user study, in which $114$ participants were asked to learn about the formation of lightning and thunder. Participants' knowledge states were measured before and after Web search through multiple-choice questionnaires and essay-based free recall tasks. To enable future research in SAL-related tasks we recorded a plethora of features and person-related attributes. Besides the screen recordings, visited Web pages, and detailed browsing histories, a large number of behavioral features and resource features were monitored. We underline the usefulness of the dataset by describing three, already published, use cases.

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