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Human–Web Interactions

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Emergent Web Intelligence: Advanced Information Retrieval

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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Abstract

Investigation of human behavior in electronic environments is rapidly gaining eminent position in web research. The driving forces of this endeavor originate from both commercial and scientific spheres. The commercial sector is eagerly exploring the human web behavior characteristics for amplifying and expanding the revenue generating possibilities. Novel trends in web development, as well as internet business models, unavoidably incorporate the elements of human–web interactions. The scientific inquiry into human web behavior is fundamentally oriented toward exploring, analyzing, understanding, modeling, and applying the findings.

Early conceptions of human web behavior essentially assumed a random nature of human actions. The recent findings, however, revealed that human behavior in electronic environments exhibits bursts of activity followed by longer inactivity periods. This is being attributed to the conceptual prioritization of cognitive processes. We tend to divide our web interactions into segments of tasks having varying complexities. The presented perspective on the human–web interactions reflects this fundamental nature of our web behavior. The segmentation of human web interactions enables us to observe and elucidate several pertinent behavioral aspects. We can observe how users form elemental and complex browsing patterns, how their behavior habituates, and how they utilize the web navigation space. Human web navigation displays significant long tail characteristics in all analyzed topological aspects. A novel model that accurately captures it has been presented. Results of human–web interaction research have been applied to advanced systems improving our experience in web environments.

Future web will be increasingly user-conscious and user-centered. The human–web interaction research will play a primary role in this endeavor. Engineering challenges for the future web will lead to numerous scientific and commercial opportunities. Communities of academics and practitioners will greatly benefit from the human web behavior findings. Reaching the future potentials and ambitious goals, however, will demand broader interdisciplinary orientation and collaboration.

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Author information

Authors and Affiliations

  1. National Institute of Advanced Industrial Science and Technology (AIST), 2-3-26 Aomi, Koto-ku, Tokyo, 135-0064, Japan

    Peter Géczy, Noriaki Izumi, Shotaro Akaho & Kôiti Hasida

Authors
  1. Peter Géczy
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  2. Noriaki Izumi
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  3. Shotaro Akaho
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  4. Kôiti Hasida
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Editor information

Editors and Affiliations

  1. Fac. Sciences Mirande, Université de Bourgogne, Dijon CX, France

    Richard Chbeir

  2. INSA de Lyon, avenue Jean Capelle 7, Villeurbanne CX, 69621, France

    Youakim Badr

  3. Technology, Norwegian University of Science &, O.S. Bragstads plass 2E, Trondheim, 7491, Norway

    Ajith Abraham

  4. College of Business & Administration, Kuwait University, Safat, Kuwait

    Aboul-Ella Hassanien

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Géczy, P., Izumi, N., Akaho, S., Hasida, K. (2010). Human–Web Interactions. In: Chbeir, R., Badr, Y., Abraham, A., Hassanien, AE. (eds) Emergent Web Intelligence: Advanced Information Retrieval. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84996-074-8_8

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  • DOI: https://doi.org/10.1007/978-1-84996-074-8_8

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