Combining eye-tracking technologies with web usage mining for identifying Website Keyobjects

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 5-6, 2013, Pages 1469-1478

  Velásquez, Juan D ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Eye tracking; Web mining; Website Keyobjects

Indexed keywords

COMPUTER SCREENS; EYE TRACKERS; EYE-TRACKING; OCULAR MOVEMENTS; POINT OF VIEWS; WEB MINING; WEB MINING ALGORITHMS; WEB USAGE MINING;

ALGORITHMS; DATA HANDLING; DATA MINING; SURVEYS; TRACKING (POSITION);

WEBSITES;

EID: 84876906164     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.01.003     Document Type: Article

References (30)

1. Ali-Hasan, N.F.; Harrington, E.J.; Richman, J.B.; 2008. Best practices for eye tracking of television and video user experiences. In: Proceeding of the First International Conference on Designing Interactive User Experiences for TV and Video. UXTV '08. ACM, New York, NY, USA, pp. 5-8.
2. A. Bulling, J. Ward, H. Gellersen, and G. Tröster Eye movement analysis for activity recognition using electrooculography IEEE Trans. Pattern Anal. Mach. Intell. 33 4 2011 741 753
3. Buscher, G.; Cutrell, E.; Morris, M.R.; 2009. What do you see when you're surfing? using eye tracking to predict salient regions of web pages. In: Proceeding of the CHI 2009. ACM, New York, NY, USA, pp. 21-30.
4. Buscher, G.; Dunais, S. T Cutrell, E.; Morris, M.R.; 2010. The good, the bad, and the random: an eye-tracking study of ad quality in web search. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York, NY, USA, pp. 42-49.
5. G. Chang, M. Healey, J. McHugh, and J. Wang Mining the World Wide Web 2001 Kluwer
6. A. Duchowski Eye Tracking Methodology Theory and Practice 2003 Springer Verlag
7. Dujovne, L.E.; Velásquez, J.D.; 2009. Design and implementation of a methodology for identifying website keyobjects. In: Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I. KES '09. Springer-Verlag, Berlin, Heidelberg, pp. 301-308.
8. O. Etzioni The world-wide web quagmire or gold mine? Commun. ACM 39 November 1996 65 68
9. S. Frintrop, R. Erich, and H.I. Christensen Computational visual attention systems and their cognitive foundations a survey ACM Trans. Appl. Percept. 7 January 2010 6:1 6:39
10. D. Hoffman, and T. Novak A new marketing paradigm for electronic commerce Info. Soc. 13 1 1997 43 54
11. K. Holmqvist, N. Nyström, R. Andersson, R. Dewhurst, H. Jarodzka, and J. Van de Weijer Eye Tracking A Comprehensive Guide to Methods and Measures 2011 Oxford University Press
12. C. Jay, D. Lunn, E. Michailidou, S. Harper, and Y. Yesilada End user evaluations S. Harper, Y. Yesilada, Web Accessibility 2008 Springer London, UK 107 126
13. Kaufman, A.E.; Bandopadhay, A.; Shaviv, B.D.; 1993. An eye tracking computer user interface. In: Proceedings of the IEEE 1993 Symposium on Research Frontiers in Virtual Reality. IEEE, pp. 120-121.
14. R. Kosala, and H. Blockeel Web mining research a survey ACM SIGKDD Explor. Newsl. 2 1 2000 1 15
15. S. Lee, W. Lee, and P. Stout A comparison of objective characteristics and user perception of web sites J. Interact. Advert. 4 2 2004 61 75
16. Michailidou, E.; Harper, S.; Bechhofer, S.; 2008. Visual complexity and aesthetic perception of web pages. In: Proceedings of the 26th Annual ACM International Conference on Design of Communication. SIGDOC '08. ACM, New York, NY, USA, pp. 215-224.
17. C. Morimoto, D. Koons, A. Amir, and M. Flickner Pupil detection and tracking using multiple light sources Image Vision Comput. 18 4 2000 331 335
18. J. Nielsen Usability Engineering 2004 Academic Press San Diego, CA, USA
19. J. Nielsen, and K. Pernice Eyetracking Web Usability 2009 New Riders Pub
20. T. Novak, D. Hoffman, and Y. Yung Measuring the customer experience in online environments a structural modeling approach Market. Sci. 19 1 2000 22 42
21. S.K. Pal, V. Talwar, and P. Mitra Web mining in soft computing framework relevance, state of the art and future directions IEEE Trans. Neural Networks 13 5 2002 1163 1177
22. Poole, A.; Ball, L.; 2005. Eye tracking in human-computer interaction and usability research: current status and future prospects. In: Encyclopedia of Human Computer Interaction, pp. 211-219.
23. Roberts, D.; Shelhamer, M.; Wong, A.; 2008. A new wireless search-coil system. In: Proceedings of the 2008 Symposium on Eye Tracking Research & Applications. ACM, pp. 197-204.
24. J.N. Van der Geest, and M.A. Frens Recording eye movements with video-oculography and scleral search coils a direct comparison of two methods J. Neurosci. Methods 114 2 2002 185 195
25. J.D. Velásquez Web site keywords a methodology for improving gradually the web site text content Intell. Data Anal. 15 4 2011 327 348
26. Velásquez, J.D.; 2012. Improvement of a methodology for website keyobject identification through the application of eye-tracking technologies. In: Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops. BI 2012. IEEE Computer Society, pp. 59-63.
27. J.D. Velásquez, L.E. Dujovne, and G. L'Huillier Extracting significant website key objects a semantic web mining approach Eng. Appl. Artif. Intell. 24 8 2011 1532 1541
28. J.D. Velásquez, and L.C. Jain Advanced Techniques in Web Intelligence - Part 1 first ed. 2010 Springer Publishing Company Incorporated
29. J.D. Velásquez, and V. Palade Adaptive Web Sites A Knowledge Extraction from Web Data Approach 2008 IOS Press
30. J.D. Velásquez, S. Ríos, A. Bassi, H. Yasuda, and T. Aoki Towards the identification of keywords in the web site text content a methodological approach Int. J. Web Inf. Syst. 1 1 2005 11 15