An exploration of web-based monitoring

Kellar, Melanie; Watters, Carolyn; Inkpen, Kori

doi:10.1145/1240624.1240686

Cited by 28 publications

(33 citation statements)

References 21 publications

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“…They used this model to explain peoples' behavior on the web. In this study, we extended this taxonomy to discuss online as well as offline infor- Figure 1: Classification of Information Tasks, adapted from [7]. mation task behavior for expert users.…”

Section: Related Workmentioning

confidence: 99%

“…mation task behavior for expert users. We use the following information tasks categories (adapted from [7,8,9], see Figure 1):…”

Section: Related Workmentioning

confidence: 99%

“…1. Literature: This includes magazines, dictionaries, books, publications, biographies, encyclopedias, journals and reference databases such as RKD library 6 or Picarta 7 . Offline literature remains the most important source for experts because comprehensive knowledge on art, culture and history are usually in books and not yet available in digital form.…”

Section: Where Do Experts Search?mentioning

confidence: 99%

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Understanding cultural heritage experts' information seeking needs

Amin

Ossenbruggen

Hardman

et al. 2008

Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries

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We report on our user study on the information seeking behavior of cultural heritage experts and the sources they use to carry out search tasks. Seventeen experts from nine cultural heritage institutes in the Netherlands were interviewed and asked to answer questionnaires about their daily search activities. The interviews helped us to better understand their search motivations, types, sources and tools. A key finding of our study is that the majority of search tasks involve relatively complex information gathering. This is in contrast to the relatively simple fact-finding oriented support provided by current tools. We describe a number of strategies that experts have developed to overcome the inadequacies of their tools. Finally, based on the analysis, we derive general trends of cultural heritage experts' information seeking needs and discuss our preliminary experiences with potential solutions.

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Section: Related Workmentioning

confidence: 99%

“…mation task behavior for expert users. We use the following information tasks categories (adapted from [7,8,9], see Figure 1):…”

Section: Related Workmentioning

confidence: 99%

Section: Where Do Experts Search?mentioning

confidence: 99%

See 1 more Smart Citation

Understanding cultural heritage experts' information seeking needs

Amin

Ossenbruggen

Hardman

et al. 2008

Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries

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show abstract

“…Another possible research question is to identify reasons why users revisit pages-for example, because of monitoring pages [3,16]-and how this is typically done in a multi-tab browser environment. For supporting such studies and for finding answers to such questions, a visualization tool has to o↵er specific functionalities.…”

Section: Requirement Analysismentioning

confidence: 99%

An Interactive Visualization for Tabbed Browsing Behavior Analysis

Cernea

Truderung

Kerren

et al. 2014

Communications in Computer and Information Science

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Abstract. Web browsers are at the core of online user experience, enabling a wide range of Web applications, like communication, games, entertainment, development, etc. Additionally, given the variety and complexity of online-supported tasks, users have started parallelizing and organizing their online browser sessions by employing multiple browser windows and tabs. However, there are few solutions that support analysts and casual users in detecting and extracting patterns from these parallel browsing histories. In this paper we introduce WebComets, an interactive visualization for exploring multi-session multi-user parallel browsing logs. After highlighting visual and functional aspects of the system, we introduce a motif-based contextual search for enabling the filtering and comparison of user navigation patterns. We further highlight the functionality of WebComets with a use case. Our investigations suggest that parallel browser history visualization can o↵er better insight into user tabbed browsing behavior and support the recognition of online navigation patterns.

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“…It has to embed rich meta-information that could be of interest for the user of WebComets, i.e., for researchers in information retrieval, behavioral sciences and related fields (called tool user or analyst in this paper). Following the study described in (Huang, 2010) Another possible research question is to identify reasons why users revisit pages-for example, because of monitoring pages (Kellar, 2007;Adar, 2008)-and how this is typically done in a multi-tab browser environment. For supporting such studies and for finding answers for such questions, a visualization tool has to offer specific functionalities.…”

Section: Requirement Analysismentioning

confidence: 99%

WebComets: A Tab-Oriented Approach for Browser History Visualization

Cernea¹,

Truderung²,

Kerren³

et al. 2013

Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Inform

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Abstract:Web browsers are our main gateways to the Internet. With their help we read articles, we learn, we listen to music, we share our thoughts and feelings, we write e-mails, or we chat. Current Web browser histories have mostly no visualization capabilities as well as limited options to filter patterns and information. Furthermore, such histories disregard the existence of parallel navigation in multiple browser windows and tabs. But a good understanding of parallel browsing behavior is of critical importance for the casual user and the behavioural analyst, while at the same time having implications in the design of search engines, Web sites and Web browsers. In this paper we present WebComets, an interactive visualization for extended browser histories. Our visualization employs browser histories that capture-among others-the taboriented, parallel nature of Web page navigation. Results presented in this paper suggest that WebComets better supports the analysis and comparison of parallel browsing and corresponding behavior patterns than common browser histories.

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An exploration of web-based monitoring

Cited by 28 publications

References 21 publications

Understanding cultural heritage experts' information seeking needs

Understanding cultural heritage experts' information seeking needs

An Interactive Visualization for Tabbed Browsing Behavior Analysis

WebComets: A Tab-Oriented Approach for Browser History Visualization

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