International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
권호 표지
DOI QR코드

DOI QR Code

Cognitive Factors in Adaptive Information Access

  • Park, Minsoo (Department of Data Science, School of ICT Convergence, Kangnam University)
  • Received : 2018.12.04
  • Accepted : 2018.12.10
  • Published : 2018.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The main purpose of this study is to understand how cognitive factors influence the way people interact with information/information systems, by conducting comprehensive and in-depth literature reviews and a theoretical synthesis of related research. Adaptive systems have been built around an individual user's characteristics, such as interests, preferences, knowledge and goals. Individual differences in the ability to use new information and communication technology have been an important issue in all fields. Performance differences in utilizing new information and communication technology are sufficiently predictable that we can begin to coordinate them. Therefore, it is necessary to understand cognitive mechanisms to explain differences between individuals as well as the levels of performance. The theoretical synthesis from this study can be applied to design intelligent (i.e., human friendly) systems in our everyday lives. Further research should explore optimization design for user, by integrating user's individual traits (such as emotion and intent) and system modules to improve the interactions of human-system in data-driven environments.

Keywords

References

  1. G. Marchionini, Information Seeking in Electronic Environments, Cambridge University Press, 1995.
  2. S. Y. Chen, "A cognitive model for non-linear learning in hypermedia programmes," British Journal of Educational Technology, Vol. 33, No. 4, pp. 449-460, 2002. https://doi.org/10.1111/1467-8535.00281
  3. C. L. Borgman, "All users of information retrieval systems are not created equal: An exploration into individual differences," Information Processing & Management, Vol. 25, pp. 237-252, 1989. https://doi.org/10.1016/0306-4573(89)90042-3
  4. R. Riding and I. Cheema, "Cognitive styles: an overview and integration," Educational Psychology, Vol. 11, pp. 193- 216, 1991. https://doi.org/10.1080/0144341910110301
  5. R. Riding and S. Rayner, Cognitive styles and learning strategies: Understanding style differences in learning and behavior, David Fulton Publisher, 1998.
  6. H .A. Witkin, C. A. Moore, D. R. Goodenough and P. W. Cox, 'Field-dependent and field-independent cognitive styles and their educational implications," Review of Educational Research, Vol. 47, No. 1, pp. 1-64, 1977. https://doi.org/10.3102/00346543047001001
  7. G. Pask, "A fresh look at cognition and the individual," International Journal of Man-Machine Studies, Vol. 4, pp. 211-216, 1972. https://doi.org/10.1016/S0020-7373(72)80002-6
  8. Y. Miyata and D. A. Norman, User-centered design, Lawrence Erlbaum, 1986.
  9. S. Y. Chen and R. D. Macredie, "Cognitive styles and hypermedia navigation: development of a learning model," Journal of the American Society for Information Science and Technology, Vol. 53, No. 1, pp. 3-15, 2002. https://doi.org/10.1002/asi.10023
  10. A. Dufresne and S. Turcotte, in Artificial intelligence in education knowledge and media learning system, Edited B. Boulay and R. Mizoguchi, Amsterdam IOS Press, pp. 287-293, 1997.
  11. N. Ford, D. Miller and N. Moss, "The role of individual differences in Internet searching: An empirical study," Journal of the American Society for Information Science and Technology, Vol. 52, No. 12, pp. 1049-1066, 2001. https://doi.org/10.1002/asi.1165
  12. P. Wang, W. B. Hawk, and C. Tenopir, "Users' interaction with World Wide Web resources: an exploratory study using a holistic approach," Information Processing and Management, Vol. 36, pp. 229-251, 2000. https://doi.org/10.1016/S0306-4573(99)00059-X
  13. R. A. Palmquist and K. S. Kim, "Cognitive style and on-line database search experience as predictors of Web search performance," Journal of the American Society for Information Science and Technology, Vol. 51, No. 6, pp. 558-566, 2000. https://doi.org/10.1002/(SICI)1097-4571(2000)51:6<558::AID-ASI7>3.0.CO;2-9
  14. K. S. Kim and B. Allen, "Cognitive and Task Influences on Web Searching Behavior," Journal of the American Society for Information Science and Technology, Vol. 53, No. 2, pp. 109-119, 2002. https://doi.org/10.1002/asi.10014
  15. O. Conlan, V. P. Wade, M. Gargan, and C. Bruen, "Multimodel, metadata driven approach to adaptive hypermedia services for personalized e-learning," in Proceedings of 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems, May 29-31, Malaga, Spain, 2002.
  16. C. Bruen. "A development framework for re-useable learning resources for different learning styles and requirements", in Proceedings of World Conference on E-Learning, E-Learn, 2002.
  17. P. Brusilovsky, "Adaptive hypermedia," User Modeling and User-Adapted Interaction, Vol. 11, pp. 87-110, 2001. https://doi.org/10.1023/A:1011143116306
  18. P. De Bra. "Design issues in adaptive hypermedia application development," in Proceedings of the 2nd Workshop on Adaptive Systems and User Modeling on the World Wide Web, Toronto, Canada. 1999.
  19. S. Y. Chen, "A flexible interface design for Web directories to accommodate different cognitive styles," Journal of the American Society for Information Science and Technology, Vol. 56, No. 1, pp. 70-83, 2005. https://doi.org/10.1002/asi.20103
  20. N. Stash, A. Cristea and P. De Bra. "Authoring of learning styles in adaptive hypermedia: Problems and solutions," in Proceedings of The Thirteenth International World Wide Web Conference, WWW 2004, May 17-22, New York, USA, 2004.
  21. N. Stash, and P. De Bra, "Incorporating cognitive styles in AHA!," in Proceedings of the IASTED International Conference Web-Based Education, February 16-18, Innsbruck, Austria, 2004.
  22. E. Triantafillou and A. Pomportis, "AES-CS: Adaptive educational system based on cognitive styles," in Proceedings of Workshop on Adaptive Systems for Web-Based Education at the 2nd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'2002), May 28, Malaga, Spain, 2002.
  23. R. J. Spiro, R. J. Feltovich, M. J. Jacobson and R. L. Coulson, "Cognitive flexibility, constructivism and hypertext: Random access instruction for advanced knowledge acquisition in ill structured domains," Educational Technology, Vol. 31, pp. 24-33, 1991.
  24. P. Brusilovsky, "Methods and techniques of adaptive hypermedia," User Modeling and User Adapted Interaction, Vol. 6, pp. 87-129, 1996. https://doi.org/10.1007/BF00143964
  25. T. Giouvanakis, K. Tarabanis, D. Bousiou and H. Samaras. "Exploring the strengths and limitations of learning styles towards the design of an adaptive webbased instructional system," in Proceedings of EDMEDIA' 2002, June 24-29, Denver, USA, 2002.
  26. M. Graff. "Learning from hypertext and the analyst-intuition dimension of cognitive style," in Proceedings of World Conference on E-Learning, E-Learn 2002, October 15-19, Montreal, Canada, 2002.
  27. M. Laroussi and M. Benahmed. "Providing an adaptive learning through the Web case of CAMELEON: Computer Aided MEdium for LEarning on Networks," in Proceedings of CALISCE'98, 4th International conference on Computer Aided Learning and Instruction in Science and Engineering, June 15-17, Göteborg, Sweden, 1998.
  28. R. M. Felder and L. K. Silverman, "Learning and teaching styles in engineering education," Journal of Engineering Education, Vol. 78, No. 7, pp 674-681, 1988.
  29. N. A. Beacham, A. C. Elliott, J. L. Alty and A. Al-Sharrah, "Media combinations and learning styles: A dual coding approach," in Proceedings of ED-MEDIA'2002, June 24-29; Denver, USA, 2002.
  30. M. Park, "Human multiple information task behavior on the Web," Aslib Journal of Information Management, Vol. 67, No. 2, pp. 118-135, 2015. https://doi.org/10.1108/AJIM-12-2013-0154
  31. M. Park, "Multi-dimensional analysis of dynamic human-information interaction," Information Research, Vol. 18, No. 1, 566, 2013.
  32. M. Park, "SEO for an Open Access scholarly information system to improve user experience," Information Discovery and Delivery, Vol. 46, No. 2, pp. 77-82, 2018. https://doi.org/10.1108/IDD-08-2017-0060
  33. S. Gaou and A. Bekkari, "The optimization of search engines to improve the ranking to detect user's intent," Advanced Information Technology, Services and Systems: Lecture Notes in Networks and Systems, Vol. 25, Springer, 2018.
  34. B. Swapna and T. Anuradha, "Achieving Higher Ranking toWebpages through Search Engine Optimization," In Proceedings of International Conference on Computational Intelligence and Data Engineering: Lecture Notes on Data Engineering and Communications Technologies, Vol. 9, Springer, 2018.