skip to main content
10.1145/2702123.2702486acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

An In-Situ Study of Mobile App & Mobile Search Interactions

Published:18 April 2015Publication History

ABSTRACT

When trying to satisfy an information need, smartphone users frequently transition from mobile search engines to mobile apps and vice versa. However, little is known about the nature of these transitions nor how mobile search and mobile apps interact. We report on a 2-week, mixed-method study involving 18 Android users, where we collected real-world mobile search and mobile app usage data alongside subjective insights on why certain interactions between apps and mobile search occur. Our results show that when people engage with mobile search they tend to interact with more mobile apps and for longer durations. We found that certain categories of apps are used more intensely alongside mobile search. Furthermore we found differences in app usage before and after mobile search and show how mobile app interactions can both prompt mobile search and enable users to take action. We conclude with a discussion on what these patterns mean for mobile search and how we might design mobile search experiences that take these app interactions into account.

Skip Supplemental Material Section

Supplemental Material

p2739-carrascal.mp4

mp4

148.5 MB

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 Workshop (2007).Google ScholarGoogle Scholar
  3. Böhmer, M., Hecht, B., Schöning, J., Krüger, A., and Bauer, G. Falling asleep with angry birds, facebook and kindle: a large scale study on mobile application usage. In Proceedings of Mobile HCI'11, ACM (2011), 47--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Brown, B., McGregor, M., and Laurier, E. iphone in vivo: Video analysis of mobile device use. In Proceedings of CHI'13, ACM (2013), 1031--1040. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 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
  6. Church, K., Cherubini, M., and Oliver, N. A large-scale study of daily information needs captured in situ. In TOCHI 21, 2 (2014), 10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Church, K., and Oliver, N. Understanding mobile web and mobile search use in today's dynamic mobile landscape. In Proceedings of MobileHCI'11, ACM (2011), 67--76. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Church, K., Smyth, B., Cotter, P., and Bradley, K. Mobile information access: A study of emerging search behavior on the mobile internet. In TWEB 1, 1 (2007), 4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 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
  10. Dearman, D., Kellar, M., and Truong, K. N. An examination of daily information needs and sharing opportunities. In Proceedings of CSCW'08, ACM (2008), 679--688. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ferreira, D., Gonc¸alves, J., Kostakos, V., Barkhuus, L., and Dey, A. K. Contextual experience sampling of mobile application micro-usage. In Proceedings of MobileHCI'14, ACM (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 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
  13. 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
  14. 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
  15. Komaki, D., Hara, T., and Nishio, S. How does mobile context affect people's web search behavior?: A diary study of mobile information needs and search behaviors. In Proceedings of AINA, IEEE (2012), 245--252. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 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
  17. Lee, U., Lee, J., Ko, M., Lee, C., Kim, Y., Yang, S., Yatani, K., Gweon, G., Chung, K.-M., and Song, J. Hooked on smartphones: an exploratory study on smartphone overuse among college students. In Proceedings of CHI'14, ACM (2014), 2327--2336. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. McGregor, M., Brown, B., and McMillan, D. 100 days of iphone use: Mobile recording in the wild. In Proceedings of CHI '14 EA, ACM (2014), 2335--2340. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Nielsen. An era of growth: The cross-platform report. http://bit.ly/1pcoQFU, March 2014.Google ScholarGoogle Scholar
  20. 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
  21. 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
  22. Song, Y., Ma, H., Wang, H., and Wang, K. Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. In Proceedings of WWW'13, ACM (2013), 1201--1212. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. 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 EA, ACM (2008), 2679--2684. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Teevan, J., Karlson, A., Amini, S., Brush, A. B., and Krumm, J. Understanding the importance of location, time, and people in mobile local search behavior. In Proceedings of MobileHCI'11 (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Tossell, C., Kortum, P., Rahmati, A., Shepard, C., and Zhong, L. Characterizing web use on smartphones. In Proceedings of CHI '12, ACM (2012), 2769--2778. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Vojnovic, M. On mobile user behaviour patterns. In International Zurich Seminar on Communications, IEEE Communications Society (2008).Google ScholarGoogle ScholarCross RefCross Ref
  27. 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

Index Terms

  1. An In-Situ Study of Mobile App & Mobile Search Interactions

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '15 Paper Acceptance Rate486of2,120submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader