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Title:
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MINING HUMAN-WEB INTERACTIONS |
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Author(s):
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Peter Géczy , Noriaki Izumi , Shotaro Akaho , Kôiti Hasida |
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ISBN:
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ISSN: 1645-7641 |
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Editors:
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Pedro Isaías |
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Year:
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2008 |
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Edition:
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V VI, II |
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Keywords:
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Human-web interaction mining, navigation space, behavioral abstractions, long tails, knowledge workers,
intranet. |
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Type:
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Journal Paper |
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First Page:
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1 |
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Last Page:
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15 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Human dimensions in web research and e-commerce are becoming gradually dominant. Elucidation of
human-web interactions is of central importance in web design, user modeling, personalization, and
recommender systems. We present an analytic and exploratory framework for studying human dynamics
in web-based environments. The framework efficiently captures the temporal and navigational
dimensions of human-web interactions. It enables identification of the principal navigation points and
higher order abstractions. The abstractions allow observation and analysis of the elemental and complex
browsing patterns. We applied the framework to exploration of knowledge worker interactions with a
large-scale web-based intranet portal. The analysis revealed numerous vital behavioral and usability
attributes. Knowledge workers generally underutilized available resources. They exhibited behavioral
habituation and formation of repetitive elemental and complex browsing patterns. Increasing experience
with the web environment resulted in diminutive exploratory behavior and rapid navigational transitions. |
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