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Integration of Collective Knowledge in Fuzzy Models Supporting Web Design Process

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6923))

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Abstract

The process of applications design focused on the Internet is usually based on continuous optimization and analysis of response from web users. The knowledge acquired from the target environment improves this process and can be used in design space modeling. This paper proposes an approach for fuzzy modeling of interactive objects’ structure to determine the dependencies and provide the additional input towards increasing website effectiveness.

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References

  1. Birgelen, M., Martin, G.M., Dolen, W.M.: Effectiveness of Corporate Employment Web Sites: How Content and Form Influence Intentions to Apply. International Journal of Manpower 29(8), 731–751 (2008)

    Article  Google Scholar 

  2. Burke, M., Hornof, A., Nilsen, E., Gorman, N.: High-Cost Banner Blindness: Ads Increase Perceived Workload, Hinder Visual Search, and are Forgotten. ACM Transactions on Computer-Human Interaction 12(4), 423–445 (2005)

    Article  Google Scholar 

  3. Dai, X., Qin, Y., Lingxiao, M.L., Juster, N.: A Knowledge-Based Design Advisory System for Collaborative Design for Micromanufacturing. The International Journal of Advanced Manufacturing Technology 47(9), 973–979 (2010)

    Article  Google Scholar 

  4. Green, D., Pearson, J.M.: Development of a Web Site Usability Instrument Based on ISO-9241-11. The Journal of Computer Information Systems 47(1), 66–72 (2006)

    Google Scholar 

  5. Halpin, H.: Foundations of a Philosophy of Collective Intelligence. In: Guerin, F., Vasconcelos, W.W. (eds.) AISB Convention: Communication, Interaction and Social Intelligence, AISB, pp. 12–19. University of Aberdeen, UK (2008)

    Google Scholar 

  6. Hassan, S., Li, F.: Evaluating the Usability and Content Usefulness of Web Sites: A Benchmarking Approach. Journal of Electronic Commerce in Organizations 3(2), 46–67 (2005)

    Article  Google Scholar 

  7. Jang, J.S.R.: ANFIS: Adaptive-Network-Based Fuzzy Inference Systems. IEEE Transactions on Systems, Man and Cybernetics 23(3), 665–685 (1993)

    Article  Google Scholar 

  8. Kelly, S.: Determining Effectiveness of Websites by Refining Transaction-Oriented Views through Supervised Competitive Clustering. Web Effectiveness Research Group, Research report, The University of Georgia (2008)

    Google Scholar 

  9. Lang, A., Potter, R.F., Bolls, P.: Where Psychophsiology Meets the Media. In: Bryant, J., Oliver, M.B. (eds.) Media Effects: Advances in Theory and Research, pp. 185–206. Taylor & Francis, Abington (2008)

    Google Scholar 

  10. Lin, Y.-C., Yeh, C.-H.: User-centered interface design of social websites. In: Yang, C.C., Chen, H., Chau, M., Chang, K., Lang, S.-D., Chen, P.S., Hsieh, R., Zeng, D., Wang, F.-Y., Carley, K.M., Mao, W., Zhan, J. (eds.) ISI Workshops 2008. LNCS, vol. 5075, pp. 366–376. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Lindgaard, G., Fernandes, G., Dudek, C., Brown, J.: Attention Web Designers: You Have 50 Milliseconds to Make a Good First Impression. Behavior and Information Technology 25(2), 115–126 (2006)

    Article  Google Scholar 

  12. Lópeza, I., Ruiz, S.: Explaining Website Effectiveness: The Hedonic–Utilitarian Dual Mediation Hypothesis. Electronic Commerce Research and Applications 10(1), 49–58 (2011)

    Article  Google Scholar 

  13. Maher, M.L., Paulini, M., Murty, P.: Scaling up: From Individual Design to Collaborative Design to Collective Design. In: Gero, J.S. (ed.) Design Computing and Cognition, DCC 2010, pp. 581–600. Springer, Heidelberg (2010)

    Google Scholar 

  14. Malone, T.W., Laubacher, R., Dellarocas, C.N.: Harnessing Crowds: Mapping the Genome of Collective Intelligence. MIT Sloan Research. No. 4732-09 (2009)

    Google Scholar 

  15. Mamdani, E.H.: Applications of Fuzzy Set Theory to Control Systems: A Survey. In: Gupta, M.M., Saridis, G.N., Gaines, B.R. (eds.) Fuzzy Automata and Decision Processes, pp. 77–88. North-Holland, Amsterdam (1977)

    Google Scholar 

  16. Mohamed, T.I., Hamdollah, M., O’Brien, P.T.R.: Analysis and Design of e-Commerce Applications on the Web: A Case Study of OO Techniques and Notations. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2003. LNCS, vol. 2738, pp. 315–327. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  17. Nikolopoulos, S., Chatzilari, E., Giannakidou, E., Papadopoulos, S., Kompatsiaris, I., Vakali, A.: Leveraging Massive User Contributions for Knowledge Extraction. In: Bessis, N., Xhafa, F. (eds.) Next Generation Data Technologies for Collective Computational Intelligence. Studies in Computational Intelligence, Springer, Heidelberg (2011)

    Google Scholar 

  18. O’Reilly, T.: What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software, http://oreilly.com/web2/archive/what-is-web-20.html

  19. Pearrow, M.: Web Site Usability Handbook. Charles River Media, Rockland (2000)

    Google Scholar 

  20. Petty, R.E., Wegener, D.T.: The Elaboration Likelihood Model: Current Status and Controversies. In: Chaiken, S., Trope, Y. (eds.) Dual Process Theories in Social Psychology, pp. 41–72. Guilford Press, New York (1999)

    Google Scholar 

  21. Piegat, A.: Fuzzy Modeling and Control. Physica, Heildelberg (2001)

    Book  MATH  Google Scholar 

  22. Preece, J., Shneiderman, B.: The Reader-to-Leader Framework: Motivating Technology-Mediated Social Participation. AIS Transactions on Human-Computer Interaction 1(1), 13–32 (2009)

    Google Scholar 

  23. Sanders, L.: Collective Creativity. LOOP: AIGA Journal of Interaction Design Education 6, 14–26 (2002)

    Google Scholar 

  24. Schlosser, A.E., White, T.B., Lloyd, S.M.: Converting Web Site Visitors into Buyers: How Web Site Investment Increases Consumer Trusting Beliefs and Online Purchase Intentions. Journal of Marketing 70(2), 133–148 (2006)

    Article  Google Scholar 

  25. Sears, A., Jacko, J.: Human-Computer Interaction Handbook. CRC Press, New York (2007)

    Book  Google Scholar 

  26. Spinuzzi, C.: The methodology of participatory design. Technical Communication 52(5), 163–174 (2005)

    Google Scholar 

  27. Tarafdar, M., Zhang, J.: Analysis of Critical Website Characteristics: A Cross-Category Study of Successful Websites. The Journal of Computer Information Systems 46(2), 14–24 (2005)

    Google Scholar 

  28. Udo, G.J., Marquis, G.P.: Factors Affecting e-Commerce Web Site Effectiveness. The Journal of Computer Information Systems 42(2), 10–16 (2001)

    Google Scholar 

  29. Vredenburg, K., Isensee, S., Righi, C.: User-Centered Design. Prentice Hall, New York (2002)

    Google Scholar 

  30. Welch, E.W., Pandey, P.: Multiple Measures of Website Effectiveness and their Association with Service Quality in Health and Human Service Agencies. In: Proceedings of the 40th Hawaii International Conference on System Sciences, pp. 115–135 (2007)

    Google Scholar 

  31. Xuan, F.Z., Du, H.: Knowledge-Intensive Collaborative Design Modeling and Support. Computer In Industry 57(1), 56–71 (2006)

    Article  Google Scholar 

  32. Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

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Jankowski, J. (2011). Integration of Collective Knowledge in Fuzzy Models Supporting Web Design Process. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_40

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  • DOI: https://doi.org/10.1007/978-3-642-23938-0_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23937-3

  • Online ISBN: 978-3-642-23938-0

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