Usability Study on Mobile Web Pre-Fetching

Sarina Sulaiman, Nadia Lokman, Nur Syahela Hussien

Abstract


Web pre-fetching is a technique that can increase the speed of web loading process. It refers to the operation of fetching information from remote web servers even before it is requested. This research approves a web pre-fetching method that is capable to decrease user-perceived latency in web browsing for mobile environment, in which it is essential as mobile devices have several limitations compared to normal desktop PC. Advanced Keystroke Level Model (KLM) technique was used where it predicted the interaction time of user with Mobile Web Pre-Fetching (MWeP) prototype and it is validated through the statistical method of single factor controlled experiments where user testing was done. Facebook was chosen as the case study where the usability evaluation based on advanced KLM technique supported that user access time with MWeP prototype decreased considerably while the usability evaluation through user testing implied that the mobile web pre-fetching prototype was satisfactory to user in terms of learnability, efficiency of use, memorability, error frequency and satisfaction. This research indicated that the utilisation of web pre-fetching is recommended in mobile environment as it effectively decreases user interaction time during web browsing that enhances user’s overall browsing experience. Based on advanced KLM technique, the total access time for mobile application with MWeP method decreased than those without MWeP.

Keywords


Advanced Keystroke Level Model; Mobile Web Pre-Fetching; Mobile Environment; Usability Study;

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References


S. Teltscher, E. Magpantay, , I. Vallejo, L. Kreuzenbeck, D. Korka, V. Gray, and D. Olaya, Measuring the Information Society. Geneva: International Telecoms Union, 2013.

S. Sulaiman, S.M. Shamsuddin, and A. Abraham, “Rough neuro-PSO web caching and XML pre-fetching for accessing Facebook from mobile environment,” in World Congress on Nature and Biologically Inspired Computing, 2009, pp. 884-889.

D. Lymberopoulos, O. Riva, K. Strauss, A. Mittal, and A. Ntoulas, “PocketWeb: Instant web browsing for mobile devices,” in ASPLOS XVII Proceedings of the Seventeenth International Conference on Architectural Support for Programming Languages and Operating Systems, 2012, pp. 1-12.

J. A.K. Sharma, and A. Goel, “A Framework for prefetching relevant web pages using Predictive Prefetching Engine (PPE),” IJCSI International Journal of Computer Science, vol. 7, no. 6, pp. 1-9, 2010.

R. Suryawanshi, and A. Savyanavar, “Web caching and XML prefetching for accessing social sites from mobile environment,” International Journal of P2P Network Trends and Technology, vol. 2, no. 1, pp. 38-41, 2012.

Y. Jiang, and L. Kleinrock, “Web pre-fetching in a mobile environment,” IEEE Personal Communications, vol. 5, no. 5, pp. 25- 34, 1998.

S. Sulaiman, S.M. Shamsuddin, A. Abraham, and S. Sulaiman, “Intelligent mobile web pre-fetching (IMWeP) using XML technology,” in 6th IEEE International Conference on Next Generation Web Services Practices, 2010, pp. 475-480.

D. Kieras, “Using the keystroke-level model to estimate execution times,” in The Computer Science and Engineering Handbook, A.B. Tucker, Ed. CRC Press, Boca Raton, 1993.

P. Holleis, F. Otto, H. Hubmann and A. Schmidt, “Keystroke-level model for advanced mobile phone interaction,” in CHI '07 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2007, pp. 1505-1514.

J. Nielsen, “Usability 101: Introduction to Usability”, 2012. [Online]. Available at https://www.nngroup.com/articles/usability-101- introduction-to-usability/

J. Nielsen, “How Many Test Users in a Usability Study”, 2012. [Online]. Available at https://www.nngroup.com/articles/how-manytest-users/


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ISSN: 2180-1843

eISSN: 2289-8131