Towards better measurement of attention and satisfaction in mobile search

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2014, Pages 113-122

  Lagun, Dmitry ^a   Hsieh, Chih Hung ^b   Webster, Dale ^b   Navalpakkam, Vidhya ^b  

^a EMORY UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

Author keywords

Search on mobile phone; User attention and satisfaction; Viewport logging

Indexed keywords

CELLULAR TELEPHONES; INFORMATION RETRIEVAL; INFORMATION SCIENCE; MOBILE DEVICES; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; WEBSITES;

ACCURATE MEASUREMENT; MOBILE SEARCH; RELEVANCE AND SEARCH; SEARCH TASKS; SIMPLE INFORMATIONS; STRONG CORRELATION; USER ATTENTION; WEB SEARCHES;

SEARCH ENGINES;

EID: 84904561281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2609631     Document Type: Conference Paper

References (27)

1. A. Aula, P. Majaranta, and K.-J. Räihä. Eye-tracking reveals the personal styles for search result evaluation. In Proc. of Human-Computer Interaction-INTERACT, pages 1058-1061. Springer, 2005.
2. R. Biedert, A. Dengel, G. Buscher, and A. Vartan. Reading and estimating gaze on smart phones. In Proc. of the Symposium on Eye Tracking Research and Applications, pages 385-388. ACM, 2012.
3. A. Broder. A taxonomy of web search. In ACM SIGIR Forum, pages 3-10. ACM, 2002.
4. G. Buscher, S. T. Dumais, and E. Cutrell. The good, the bad, and the random: an eye-tracking study of ad quality in web search. In Proc. of SIGIR, pages 42-49. ACM, 2010.
5. B. Carterette and R. Jones. Evaluating search engines by modeling the relationship between relevance and clicks. In Proc. of NIPS, pages 217-224, 2007.
6. O. Chapelle and Y. Zhang. A dynamic bayesian network click model for web search ranking. In Proc. of WWW, pages 1-10. ACM, 2009.
7. A. T. Duchowski. Eye tracking methodology: Theory and practice, volume 373. Springer, 2007.
8. S. T. Dumais, G. Buscher, and E. Cutrell. Individual differences in gaze patterns for web search. In Proc. of IIiX, pages 185-194. ACM, 2010.
9. L. A. Granka, T. Joachims, and G. Gay. Eye-tracking analysis of user behavior in WWW search. In Proc. of SIGIR, pages 478-479. ACM, 2004.
10. Z. Guan and E. Cutrell. An eye tracking study of the effect of target rank on web search. In Proc. of SIGCHI, pages 417-420. ACM, 2007.
11. Q. Guo, H. Jin, D. Lagun, S. Yuan, and E. Agichtein. Mining touch interaction data on mobile devices to predict web search result relevance. In Proc. of SIGIR, pages 153-162. ACM, 2013.
12. Q. Guo, S. Yuan, and E. Agichtein. Detecting success in mobile search from interaction. In Proc. of SIGIR, pages 1229-1230. ACM, 2011.
13. J. Huang and A. Diriye. Web user interaction mining from touch-enabled mobile devices. Proc. of HCIR, 2012.
14. J. Huang, R. White, and G. Buscher. User see, user point: gaze and cursor alignment in web search. In Proc. of SIGCHI, pages 1341-1350. ACM, 2012.
15. J. Huang, R. W. White, G. Buscher, and K. Wang. Improving searcher models using mouse cursor activity. In Proc. of SIGIR, pages 195-204. ACM, 2012.
16. K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems (TOIS), 20(4):422-446, 2002.
17. T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay. Accurately interpreting clickthrough data as implicit feedback. In Proc. of SIGIR, pages 154-161. ACM, 2005.
18. M. A. Just and P. A. Carpenter. A theory of reading: From eye fixations to comprehension. Psychological Review, 87:329-354, 1980.
19. M. Kamvar and S. Baluja. A large scale study of wireless search behavior: Google mobile search. In Proc. of SIGCHI, pages 701-709. ACM, 2006.
20. J. Kim, P. Thomas, R. Sankaranarayana, and T. Gedeon. Comparing scanning behaviour in web search on small and large screens. In Proc. of the Australasian Document Computing Symposium, pages 25-30. ACM, 2012.
21. D. Lagun and E. Agichtein. Viewser: enabling large-scale remote user studies of web search examination and interaction. In Proc. of SIGIR, pages 365-374. ACM, 2011.
22. D. Lagun and E. Agichtein. Re-examining search result snippet examination time for relevance estimation. In Proc. of SIGIR, pages 1141-1142. ACM, 2012.
23. L. Lorigo, M. Haridasan, H. Brynjarsdóttir, L. Xia, T. Joachims, G. Gay, L. Granka, F. Pellacini, and B. Pan. Eye tracking and online search: Lessons learned and challenges ahead. Journal of the American Society for Information Science and Technology, 59(7):1041-1052, 2008.
24. V. Navalpakkam, L. Jentzsch, R. Sayres, S. Ravi, A. Ahmed, and A. Smola. Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. In Proc. of WWW, pages 953-964. International World Wide Web Conferences Steering Committee, 2013.
25. RKG Digital Marketing Report, Q2 2013. Retrieved from http://www.rimmkaufman.com/blog/rkg-digital-marketing-report-q2-2013-released/ 10072013/, 2013.
26. Statcounter Global Stats. Retrieved from http://gs.statcounter.com/ #mobile-vs-desktop-ww-monthly-201208-201308, 2014.
27. Tobii X Series Eye Trackers Product Description. Retrieved from http://www.tobii.com/Global/Analysis/Downloads/Product-Descriptions/ Tobii-TX-Product-description.pdf.