Skip to main content

Exploring User Mobile Shopping Activities Based on Characteristic of Eye-Tracking

  • Conference paper
  • First Online:
Human Centered Computing (HCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9567))

Included in the following conference series:

Abstract

This study aims to investigate user visual attention level in their mobile shopping activities based on our eye-tracking experiment, which may potentially contribute to the development in mobile commerce website design. We found that the distribution of products information in a page may have a great impact on visual search behavior and reaction time. Reaction time is normally at a minimum when target element is put on the top left. Conversely, it tends to increase when target element is put on the bottom right. Moreover, visual attention focus between computer based web pages and mobile ones is also different based on our research in characteristics of eye-tracking. Previous study has reported that user focus is mostly on higher position entries in a search engine result page, however in our research, users concern the items displayed at the central area more than the top. This is probably because that the size of a mobile shopping page is not as big as a computer based web page, also with more limited information. This finding may be a hint to enhance mobile commerce website design.

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 EPUB and 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

References

  1. The 35th survey report from CNNIC: Personal Application of Internet. http://tech.sina.com.cn/i/2015-02-03/doc-iawzunex9713411.shtml

  2. Granka, L.A.: Eye-tracking analysis of user behavior in WWW search. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 478–479 (2004)

    Google Scholar 

  3. Silverstein, C., Henzinger, M., Marais, J., Moricz, M.: Analysis of a very large AltaVista query log. Technical report, Hewlett Packard Laboratories, Number SRC-TN 1998-014, 19 October 1998

    Google Scholar 

  4. Hotchkiss, G., Alston, S., Edwards, G.: Eye tracking study (2006). Accessed 18 Jan 2010

    Google Scholar 

  5. Nielsen, J.: F-Shaped pattern for reading Web content (2006). Accessed 18 Jan 2010

    Google Scholar 

  6. Smith, C.L., Kantor, P.B.: User adaptation: good results from poor systems. In: Proceedings SIGIR 2008, pp. 147–154 (2008)

    Google Scholar 

  7. Joachims, T., Granka, L., Pan, B., Hembrooke, H., Gay, G.: Accurately interpreting clickthrough data as implicit feedback. In: Proceedings SIGIR 2005, pp. 154–161 (2005)

    Google Scholar 

  8. Cutrell, E., Guan, Z.: What are you looking for? An eye-tracking study of information usage in web search. In: Proceedings CHI 2007, pp. 407–416 (2007)

    Google Scholar 

  9. Georg, B., Susan, D., Edward, C.: 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, pp. 42–49 (2010)

    Google Scholar 

  10. Steinbrück, U., Schaumburg, H., Duda, S., Krüger, T.: A picture says more than a thousand words -photographs as trust builders in e-commerce websites. In: Short Talk: User Studies – Lessons for HCI, pp. 748–749 (2002)

    Google Scholar 

  11. Buscher, G., Cutrell, E., Morris, M.R.: What do you see when you’re surfing? Using eye tracking to predict salient regions of web pages. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 21–30 (2009)

    Google Scholar 

  12. Henderson, J.M.: Human gaze control during real-world scene perception. Trends Cogn. Sci. 7(11), 498–504 (2003)

    Article  Google Scholar 

  13. Goldberg, J.H., Stimson, M.J., Lewenstein, M., Scott, N., Wichansky, A.M.: Eye tracking in web search tasks: design implications. In: Proceedings of the 2002 Symposium on Eye Tracking Research & Applications, pp. 51–58 (2002)

    Google Scholar 

  14. Djamasbi, S., Siegel, M., Tullis, T.: Generation Y, web design, and eye tracking. Int. J. Hum. Comput. Stud. 68(5), 307–323 (2010)

    Article  Google Scholar 

  15. Ling, J., van Schaik, P.: The effect of text and background colour on visual search of web pages. Displays 23, 223–230 (2002)

    Article  Google Scholar 

  16. Mi, L., Ning, Z., Shengfu, L.V.: A study about the characteristics of visual search on web pages. J. Front. Comput. Sci. Technol. 3, 649–655 (2009)

    Google Scholar 

  17. Djamasbi, S., Tullis, T., Hsu, J., Mazuera, E., Osberg, K., Bosch, J.: Gender preferences in web design: usability testing through eye tracking. In: Proceedings of the 13th Americas Conference on Information Systems, pp. 1–8 (2007)

    Google Scholar 

Download references

Acknowledgement

This work was supported by the National Basic Research Program of China (973 Program) (No.2014CB744600), the National Natural Science Foundation of China (grant No.60973138, grant No.61003240), the International Cooperation Project of Ministry of Science and Technology (No.2013DFA11140), the National Basic Research Program of China (973 Program) (No.2011CB711000).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Hu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhu, J. et al. (2016). Exploring User Mobile Shopping Activities Based on Characteristic of Eye-Tracking. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31854-7_50

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31853-0

  • Online ISBN: 978-3-319-31854-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics