ABSTRACT
This paper describes an outline of the doctoral thesis work concerning adaptation policies towards quality of experience (QoE) in performance-aware adaptive multimedia e-learning systems. QoE is considered to be mainly affected by the psychological concept of flow and learning-related factors. In turn, for multimedia systems, these factors can be heavily influenced by quality of service (QoS). In an ideal world, QoS would not be an issue and content optimally tailored to a user's needs could always be perfectly delivered. Unfortunately, delivery conditions are not always ideal, and it may be infeasible to deliver certain multimedia content such as high quality video while maintaining an acceptable QoS. The goal of this research is to balance the constraints imposed by QoS restrictions with the requirements of flow and learning in order to produce the highest possible QoE for the learner using an adaptive multimedia system.
- Graf, S., Lin, T., Jeffrey, L., Kinshuk 2006. An Explanatory Study of the Relationship Between Learning Styles and Cognitive Traits. In EC-TEL 2006, LNCS, Nejdl, W., Tochtermann, K., Eds. vol. 4227, pp. 470--475. Springer, Heidelberg Google ScholarDigital Library
- Novak, T., Hoffmann, D., Yung, Y.-F. 2000. Measuring the Customer Experience in Online Environments: A Structural Modeling Approach. In Marketing Science, Volume 19 Google ScholarDigital Library
- Moebs, S., McManis, J., "A Learner, is a Learner, is a User, is a Customer - So what exactly do you mean by Quality of Experience?" In Proceedings AH 2008 Workshop Technologies for Mobile and Wireless Adaptive Elearning Environments, 2008, in pressGoogle Scholar
- Siller, M., Woods, J. 2006. Using an agent based platform to map quality of service to experience in conventional and active networks. In IEE Proceedings Communications, vol. 153, n6, pp.828--840.Google ScholarCross Ref
- Csikszentmihalyi, M. 1991. Flow: The Psychology of Optimal Experience. Harper PerennialGoogle Scholar
- Novak, T. P, Hoffman, D. L. 1997. Measuring the flow experience among Web users. Interval Research Corporation. Retrieved at 01 June 2008 from http://www2000.ogsm.vanderbilt.edu/Google Scholar
- Skadberg, Y. X., Kimmel, J. R. 2004. Visitors' flow experience while browsing a Web site: its measurement, contributing factors and consequences. In Computers in Human Behavior, vol. 20, pp. 403--422, Elsevier, NetherlandsGoogle Scholar
- De Marez, L., de Moor, K. 2007. The Challenge of User- and QoE-centric Research and Product Development in Today's ICT-Environment. Observatorio (OBS*) Journal 3, 1--22Google Scholar
- Mayer, R. E. 2003. The Promise of Multimedia Learning: Using the Same Instructional Design Methods Across Different Media. In Learning and Instruction 13, pp. 125--139.Google ScholarCross Ref
- Paivio, A. 1986. Mental representations: a dual coding approach. Oxford. England: Oxford University Press.Google Scholar
- Ghinea, G. Magoulas, G. D. Siamitros, C. 2005. Multicriteria decision making for enhanced perception-based multimedia communication. In IEEE Transactions on Systems, Man and Cybernetics, Part A, vol. 35, 6 pp. 855--866. DOI: 10.1109/TSMCA.2005.851281 Google ScholarDigital Library
- Halasz, F. G., Schwartz, M. 1990. The Dexter Hypertext Reference Model. In Communications of ACM.Google Scholar
- De Bra, P., Houben, G.-J., Wu, H. 1999. AHAM: a Dexter-based reference model for adaptive hypermedia. In Proceedings of the tenth ACM Conference on Hypertext and hypermedia, pp. 147--156. ACM, New York. Google ScholarDigital Library
- Koch, N., Wirsing, M. 2002. The Munich Reference Model for Adaptive Hypermedia Applications. In Adaptive Hypermedia and Adaptive Web-Based Systems, LNCS 2347, pp. 213--222. Google ScholarDigital Library
- Houben, G.-J., Aroyo, L., De Bra, P., Dicheva, D. 2005. Adaptation Engineering in Adaptive Concept-based Systems. In Adaptable and Adaptive Hypermedia Systems, In Chen, S. Y., Magoulas, G. D. Eds. IRM PressGoogle Scholar
- Turoff, M., Linstone, H. A. 2002. The Delphi Method - Techniques and Applications. Retrieved March 29, 2006 from http://www.is.njit.edu/pubs/delphibook/Google Scholar
- Christensen, T. C., et al. 2003. A Practical Guide to Experience-Sampling Procedures. In Journal of Happiness Studies, pp. 53--78. Springer, Netherlands.Google Scholar
Index Terms
- A learner, is a learner, is a user, is a customer: QoS-based experience-aware adaptation
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