Visualizing and assessing navigation in hypertext

McEneaney, John E.

doi:10.1145/294469.294487

Cited by 22 publications

(16 citation statements)

References 26 publications

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“…Revealing the complex interactions of navigational decision making and comprehension, however, will require objective, reliable, and empirically significant navigational metrics that go beyond the largely informal and indirect measures that have traditionally been used. The purpose of this paper is to describe a study that replicates and extends earlier work that defines and validates two objective navigational metrics [5]. Results of this study confirm the empirical significance of these metrics, support the reliability of their relationship to hypertext comprehension, and provide indirect support for a model of reading comprehension that postulates greater demands on higher-level processing in hypertext compared to traditional print.…”

supporting

confidence: 56%

Navigational correlates of comprehension in hypertext

McEneaney

2000

Proceedings of the Eleventh ACM on Hypertext and Hypermedia

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Despite a substantial literature on problems related to user navigation, we know remarkably little about the relationship between navigational strategies and successful use of hypertext. Revealing the complex interactions of navigational decision making and comprehension, however, will require objective, reliable, and empirically significant navigational metrics that go beyond the largely informal and indirect measures that have traditionally been used. The purpose of this paper is to describe a study that replicates and extends earlier work that defines and validates two objective navigational metrics [5]. Results of this study confirm the empirical significance of these metrics, support the reliability of their relationship to hypertext comprehension, and provide indirect support for a model of reading comprehension that postulates greater demands on higher-level processing in hypertext compared to traditional print.

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supporting

confidence: 56%

Navigational correlates of comprehension in hypertext

McEneaney

2000

Proceedings of the Eleventh ACM on Hypertext and Hypermedia

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“…Testing for hypotheses 1 and 2 drew upon McEneaney's (1999McEneaney's ( , 2001 path navigation parameters in computing the key path metrics of compactness and stratum. The first step in his model is to create a path matrix representing frequencies of node transitions during a browsing session from each node in the path to each other node in the path.…”

Section: Data Analysis Proceduresmentioning

confidence: 99%

Dynamic and spatial representation of web movements and navigational patterns through the use of navigational paths as data

Laxman

2010

Instr Sci

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Solving real-world problems is an effective learning activity that promotes meaningful learning in formal educational settings. Problems can be classified as being either well structured or ill structured. Internet information search approaches have an influential role to play in the successful performance of problem solving. A better understanding of how students differentially model information search strategies and movements in tackling well-and ill-structured problems is essential for creating engaging problemsolving environments for students. Static measures, such as the number of accessed nodes or links, or the number of times particular web browser function buttons are clicked, are limited in their ability to analyze attributes of information search patterns. A more dynamic and spatial representation of web movements and navigational patterns can be realized through the use of navigational paths as data. The two path-specific structural metrics that can be used to assess network-based navigational paths in relation to the structuredness of the problem-solving task are compactness and stratum. These metrics are, respectively, the indicators of the connectedness and linearity of network-based structures defining students' online navigational visitations during the problem-solving sessions. This study explored the relevance and utility of these two metrics in analyzing the navigational movements of learners in seeking out electronic information to accomplish successful problem solving. The outcome findings of this study show that well-and ill-structured problems demand different cognitive and information seeking navigational approaches. The differing values of the two path metrics in analyzing the search movements organized by students in attending to well-and ill-structured problems were a direct result of the contrasting patterns of navigational path movements. The search patterns associated with well-structured problem solving tended to be more linear and less connected, whereas those related to ill-structured problem solving were more distributed and inter-connected.

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“…Although to a lesser extent, graph theoretic methods have also been applied to the user navigation paths through web sites. Some interesting results include the observation that more successful users navigate sites in a non-linear manner [10] and that the time spent on a web page is a good indicator of the user's interest in the page [12]. In earlier research we found that more focused patterns of page revisits indicated that users knew about and were better able to use the site structure -and that these patterns can be captured in measures [6,7].…”

Section: Related Workmentioning

confidence: 99%

Interactive web usage mining with the navigation visualizer

Herder

Weinreich

2005

CHI '05 Extended Abstracts on Human Factors in Computing Systems

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Web usage mining, the analysis of user navigation paths through web sites, is a common technique for evaluating site designs or adaptive hypermedia techniques. However, often it is hard to relate aggregated clusters or measures to actual user navigation behavior. By contrast, basic graph-based visualizations of user navigation paths are easier to interpret, but it is difficult to find effective views that convey all the required information. In this paper we present the Navigation Visualizer, a web usage analysis tool that combines the two approaches. The Navigation Visualizer makes use of the rich data set that is collected by the Scone proxy-based web enhancement framework and facilitates dynamic selection of the data and interactive exploration with various layout mechanisms, color codings and markers. Several aggregated measures can be calculated and exported to statistical and data mining packages.

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Visualizing and assessing navigation in hypertext

Cited by 22 publications

References 26 publications

Navigational correlates of comprehension in hypertext

Navigational correlates of comprehension in hypertext

Dynamic and spatial representation of web movements and navigational patterns through the use of navigational paths as data

Interactive web usage mining with the navigation visualizer

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