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Understanding mobile web and mobile search use in today's dynamic mobile landscape

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Published:30 August 2011Publication History

ABSTRACT

The term mobile Web is changing. Mobile is traditionally associated with on-the-move, portable and dynamic. However, with the advent of smartphones, an increasing number of users are accessing the mobile Internet via their phone while in more stationary and familiar settings, like at home or at work. This shift in the meaning of mobile is having a significant effect on mobile Web behavior. Designing great mobile Web experiences requires a deeper understanding of the information needs, behaviors and underlying motivations of mobile users. As such, the goal of this work is to study this shift and its impact on mobile Internet access, with a view to determining what this means for the future of the mobile Web and in particular mobile search. In this paper we present the results of an online diary and interview study of 18 active mobile Web users over a 4-week period focusing on how, why, where and in what situations people use the mobile Internet and mobile search. Our findings raise a new set of open research questions and point to a number of implications for enriching the experiences of mobile Web users.

References

  1. Amin, A., Townsend, S., Ossenbruggen, J., and Hardman, L. Fancy a drink in canary wharf?: A user study on location-based mobile search. In Proceedings of INTERACT '09:, Springer-Verlag (2009), 736--749. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Baeza-Yates, R., and Velasco, J. A study of mobile search queries in japan. In Query Log Analysis: Social and Technological Challenges, WWW 2007 Workshop (2007).Google ScholarGoogle Scholar
  3. Chua, A. Y. K., Balkunje, R. S., and Goh, D. H.-L. Fulfilling mobile information needs: a study on the use of mobile phones. In Proceedings of ICUIMC '11, ACM (2011), 92:1--92:7. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Church, K., and Smyth, B. Understanding the intent behind mobile information needs. In Proceedings of IUI'09, ACM (2009), 247--256. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Church, K., Smyth, B., Bradley, K., and Cotter, P. A large scale study of european mobile search behaviour. In Proceedings of MobileHCI '08, ACM (2008), 13--22. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Church, K., Smyth, B., Cotter, P., and Bradley, K. Mobile information access: A study of emerging search behavior on the mobile internet. ACM Transactions on the Web 1, 1 (2007), 4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Cui, Y., and Roto, V. How people use the web on mobile devices. In Proceeding of WWW '08, ACM (2008), 905--914. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Farrahi, K., and Gatica-Perez, D. What did you do today?: discovering daily routines from large-scale mobile data. In Proceeding of MM'08, ACM (2008), 849--852. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Halvey, M., Keane, M. T., and Smyth, B. Predicting navigation patterns on the mobile-internet using time of the week. In Proceedings of WWW '05, ACM (2005), 958--959. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Heimonen, T. Information needs and practices of active mobile internet users. In Proceedings of Mobility '09, ACM (2009), 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Hinman, R., Spasojevic, M., and Isomursu, P. They call it surfing for a reason: identifying mobile internet needs through pc internet deprivation. In Proceedings of CHI '08 extended abstracts, CHI '08, ACM (2008), 2195--2208. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Hinze, A. M., Chang, C., and Nichols, D. M. Contextual queries express mobile information needs. In Proceedings of MobileHCI '10, ACM (2010), 327--336. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Kaikkonen, A. Full or tailored mobile web- where and how do people browse on their mobiles? In Proceedings of Mobility'08, ACM (2008), 28:1--28:8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Kamvar, M., and Baluja, S. A large scale study of wireless search behavior: Google mobile search. In Proceedings of CHI'06, ACM (2006), 701--709. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Kamvar, M., and Baluja, S. Deciphering trends in mobile search. Computer 40, 8 (2007), 58--62. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Kamvar, M., Kellar, M., Patel, R., and Xu, Y. Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices. In Proceedings of WWW'09, ACM (2009), 801--810. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Lee, I., Kim, J., and Kim, J. Use contexts for the mobile internet: A longitudinal study monitoring actual use of mobile internet services. International Journal of Human-Computer Interaction 18, 3 (2005), 269--292.Google ScholarGoogle ScholarCross RefCross Ref
  18. Nielsen. The state of mobile apps, 2010. See: http://bit.ly/9gSvk4.Google ScholarGoogle Scholar
  19. Nylander, S., Lundquist, T., and Brännström, A. At home and with computer access: why and where people use cell phones to access the internet. In Proceedings of CHI'09, ACM (2009), 1639--1642. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Sohn, T., Li, K. A., Griswold, W. G., and Hollan, J. D. A diary study of mobile information needs. In Proceedings of CHI'08, ACM (2008), 433--442. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Taylor, C. A., Anicello, O., Somohano, S., Samuels, N., Whitaker, L., and Ramey, J. A. A framework for understanding mobile internet motivations and behaviors. In Proceedings of CHI'08 extended abstracts, ACM (2008), 2679--2684. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Taylor, C. A., Samuels, N., and Ramey, J. A. Always on: A framework for understanding personal mobile web motivations, behaviors, and contexts of use. International Journal of Mobile Human Computer Interaction 1, 4 (2009), 24--41.Google ScholarGoogle ScholarCross RefCross Ref
  23. Vojnovic, M. On mobile user behaviour patterns. In International Zurich Seminar on Communications, IEEE Communications Society (2008).Google ScholarGoogle Scholar
  24. Yi, J., Maghoul, F., and Pedersen, J. Deciphering mobile search patterns: a study of yahoo! mobile search queries. In Proceedings of WWW'08, ACM (2008), 257--266. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Other conferences
      MobileHCI '11: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
      August 2011
      781 pages
      ISBN:9781450305419
      DOI:10.1145/2037373

      Copyright © 2011 ACM

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      New York, NY, United States

      Publication History

      • Published: 30 August 2011

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