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We conducted an eye-tracking study where 30 participants performed searches on the web. We measured their topical knowledge before and after each task. Their eye-fixations were labelled as "reading" or "scanning". The series of reading…

Human-Computer Interaction · Computer Science 2019-08-16 Nilavra Bhattacharya , Jacek Gwizdka

Web search is among the most ubiquitous online activities, commonly used to acquire new knowledge and to satisfy learning-related objectives through informational search sessions. The importance of learning as an outcome of web search has…

Human-Computer Interaction · Computer Science 2018-06-29 Ran Yu , Ujwal Gadiraju , Stefan Dietze

Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives. In this context, informational search missions with an intention to obtain knowledge pertaining to a topic are prominent. The…

Human-Computer Interaction · Computer Science 2018-05-03 Ran Yu , Ujwal Gadiraju , Peter Holtz , Markus Rokicki , Philipp Kemkes , Stefan Dietze

In informal learning scenarios the popularity of multimedia content, such as video tutorials or lectures, has significantly increased. Yet, the users' interactions, navigation behavior, and consequently learning outcome, have not been…

Web is often used for finding information and with a learning intention. In this thesis, we propose a study to investigate the process of learning online across varying cognitive learning levels using crowd-sourced participants. Our aim was…

Human-Computer Interaction · Computer Science 2019-09-12 Rishita Kalyani

Information search has become essential for learning and knowledge acquisition, offering broad access to information and learning resources. The visual complexity of web pages is known to influence search behavior, with previous work…

Information Retrieval · Computer Science 2025-01-10 Wolfgang Gritz , Anett Hoppe , Ralph Ewerth

Search systems are increasingly used for gaining knowledge through accessing relevant resources from a vast volume of content. However, search systems provide only limited support to users in knowledge acquisition contexts. Specifically,…

Information Retrieval · Computer Science 2022-04-26 Yasin Ghafourian

The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a…

Information Retrieval · Computer Science 2012-08-14 Sudarshan Nandy , Partha Pratim Sarkar , Achintya Das

The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a…

Machine Learning · Computer Science 2012-08-15 Sudarshan Nandy , Partha Pratim Sarkar , Achintya Das

This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform a sequence, or chain, of queries with a similar information…

Machine Learning · Computer Science 2007-05-23 Filip Radlinski , Thorsten Joachims

Understanding how novices acquire and hone visual search skills is crucial for developing and optimizing training methods across domains. Network analysis methods can be used to analyze graph representations of visual expertise. This study…

Human-Computer Interaction · Computer Science 2025-07-28 Pingjing Yang , Jennifer Cromley , Jana Diesner

Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years. As a result of the vast amount of available learning resources, intelligent retrieval and…

Information Retrieval · Computer Science 2022-12-14 Christian Otto , Markos Stamatakis , Anett Hoppe , Ralph Ewerth

Search systems are often focused on providing relevant results for the "now", assuming both corpora and user needs that focus on the present. However, many corpora today reflect significant longitudinal collections ranging from 20 years of…

Computation and Language · Computer Science 2017-08-01 Guy D. Rosin , Eytan Adar , Kira Radinsky

Context information in search sessions has proven to be useful for capturing user search intent. Existing studies explored user behavior sequences in sessions in different ways to enhance query suggestion or document ranking. However, a…

Information Retrieval · Computer Science 2021-08-25 Yutao Zhu , Jian-Yun Nie , Zhicheng Dou , Zhengyi Ma , Xinyu Zhang , Pan Du , Xiaochen Zuo , Hao Jiang

Knowledge tracing aims to model students' past answer sequences to track the change in their knowledge acquisition during exercise activities and to predict their future learning performance. Most existing approaches ignore the fact that…

Machine Learning · Computer Science 2023-02-07 Yuqi Yue , Xiaoqing Sun , Weidong Ji , Zengxiang Yin , Chenghong Sun

In this work, we analyze how human gaze during reading comprehension is conditioned on the given reading comprehension question, and whether this signal can be beneficial for machine reading comprehension. To this end, we collect a new…

Computation and Language · Computer Science 2020-10-16 Jonathan Malmaud , Roger Levy , Yevgeni Berzak

The interplay between text and visualization is gaining importance for media where traditional text is enriched by visual elements to improve readability and emphasize facts. In two controlled eye-tracking experiments ($N=12$), we approach…

Human-Computer Interaction · Computer Science 2024-04-09 Franziska Huth , Maurice Koch , Miriam Awad , Daniel Weiskopf , Kuno Kurzhals

Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models to recognize reading behaviors, they often rely on…

A growing number of universities worldwide use various forms of online and blended learning as part of their academic curricula. Furthermore, the recent changes caused by the COVID-19 pandemic have led to a drastic increase in importance…

Machine Learning · Computer Science 2022-09-05 Galina Deeva , Johannes De Smedt , Cecilia Saint-Pierre , Richard Weber , Jochen De Weerdt

People use search engines to find answers to questions related to their health, finances, or other socially relevant issues. However, most users are unaware that search results are considerably influenced by search engine marketing (SEM).…

Information Retrieval · Computer Science 2023-01-25 Sebastian Schultheiß
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