Skip to main content

An Eye-Tracking Study of User Behavior in Web Image Search

  • Conference paper
Book cover PRICAI 2014: Trends in Artificial Intelligence (PRICAI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8862))

Included in the following conference series:

Abstract

Studies of Web search have mostly examined user behavior in text search. Recent studies begin to explore user’s Web image search behavior through survey, questionnaire, interview, etc. This study investigates user behavior on a Web image search engine using eye-tracking. The goal is to get insight into how users view search results and whether search task type and results presentation order influence their behavior. We found that search results at certain locations, e.g., the top-center area in a grid layout, were more attractive than others. The search task type significantly influenced user behavior while the results presentation order didn’t. In addition, we looked at the question of why a particular search result was selected, which showed variety of reasons. User behavior researchers and search engine developers can take advantage of these findings in order to create better search experiences to the users.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Batley, S.: Visual Information Retrieval: Browsing Strategies in Pictorial Databases. In: 12th International Online Information Meeting, pp. 373–381. Learned Information Ltd., Oxford (1988)

    Google Scholar 

  2. Buscher, G., Dumais, S., Cutrell, E.: The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search. In: 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 42–49. ACM, New York (2010)

    Google Scholar 

  3. Choi, Y.: Effects of Contextual Factors on Image Searching on the Web. Journal of the American Society for Information Science and Technology 61(10), 2011–2028 (2010)

    Article  Google Scholar 

  4. Choi, Y., Rasmussen, E.M.: Searching for Images: the Analysis of Users’ Queries for Image Retrieval in American History. Journal of the American Society for Information Science and Technology 54(6), 498–511 (2003)

    Article  Google Scholar 

  5. Cunningham, S.J., Masoodian, M.: Looking for a Picture: an Analysis of Everyday Image Information Searching. In: 6th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 198–199. IEEE, New York (2006)

    Google Scholar 

  6. Cutrell, E., Guan, Z.: What Are You Looking For? An Eye-tracking Study of Information Usage in Web Search. In: 25th SIGCHI Conference on Human Factors in Computing Systems, pp. 407–416. ACM, New York (2007)

    Chapter  Google Scholar 

  7. Dumais, S., Buscher, G., Cutrell, E.: Individual Differences in Gaze Patterns for Web Search. In: 3rd Symposium on Information Interaction in Context, pp. 185–194. ACM, New York (2010)

    Google Scholar 

  8. González-Caro, C., Marcos, M.C.: Different Users and Intents: An Eye-tracking Analysis of Web Search. In: 4th ACM International Conference on Web Search and Data Mining, pp. 9–12. ACM, New York (2011)

    Google Scholar 

  9. Goodrum, A., Spink, A.: Image Searching on the Excite Web Search Engine. Information Processing and Management 37(2), 295–311 (2001)

    Article  MATH  Google Scholar 

  10. Granka, L.A., Joachims, T., Gay, G.: Eye-Tracking Analysis of User Behavior in WWW Search. In: 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 478–479. ACM, New York (2004)

    Google Scholar 

  11. Guan, Z., Cutrell, E.: An Eye Tracking Study of the Effect of Target Rank on Web Search. In: 25th SIGCHI Conference on Human Factors in Computing Systems, pp. 417–420. ACM, New York (2007)

    Chapter  Google Scholar 

  12. Hsieh-Yee, I.: Research on Web Search Behavior. Library and Information Science Research 23(2), 167–185 (2001)

    Article  Google Scholar 

  13. Huang, K., Kelly, D.: The Daily Image Information Needs and Seeking Behaivor of Chinese Undergraduate Students. College and Research Libraries 74(3), 243–261 (2013)

    Article  Google Scholar 

  14. Jansen, B.J., Pooch, U.: A Review of Web Searching Studies and a Framework for Future Research. Journal of the American Society for Information Science and Technology 52(3), 235–246 (2001)

    Article  Google Scholar 

  15. Jiang, J., He, D., Allan, J.: Searching, Browsing, and Clicking in a Search Session: Changes in User Behavior by Task and Over Time. In: 37th Annual International ACM SIGIR Conference on Rearch and Development in Information Retrieval, pp. 607–616. ACM, New York (2014)

    Google Scholar 

  16. Jörgensen, C., Jörgensen, P.: Image Querying by Image Professionals. Journal of the American Society for Information Science and Technology 56(12), 1346–1359 (2005)

    Article  Google Scholar 

  17. Klökner, K., Wirschum, N., Jameson, A.: Depth- and Breadth-First Processing of Search Result Lists. In: CHI 2004 Extened Abstracts on Human Factors in Computing Systems, p. 1539. ACM, New York (2004)

    Chapter  Google Scholar 

  18. Lorigo, L., Pan, B., Hembrooke, H., Joachims, T., Granka, L., Gay, G.: The Influence of Task and Gender on Search and Evaluation Behavior Using Google. Information Processing and Management 42(4), 1123–1131 (2006)

    Article  Google Scholar 

  19. Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., Granka, L.: In Google We Trust: Users’ Decisions on Rank, Position, and Relevance. Journal of Computer-Mediated Communication 12(3), 801–823 (2007)

    Article  Google Scholar 

  20. Pu, H.T.: An Analysis of Web Image Queries for Search. Proceedings of the American Society for Information Science and Technology 40(1), 340–348 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Lu, W., Jia, Y. (2014). An Eye-Tracking Study of User Behavior in Web Image Search. In: Pham, DN., Park, SB. (eds) PRICAI 2014: Trends in Artificial Intelligence. PRICAI 2014. Lecture Notes in Computer Science(), vol 8862. Springer, Cham. https://doi.org/10.1007/978-3-319-13560-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13560-1_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13559-5

  • Online ISBN: 978-3-319-13560-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics