Multimedia Systems

, Volume 18, Issue 1, pp 53–67 | Cite as

Drawing on mobile crowds via social media

Case UbiAsk: image based mobile social search across languages
  • Yefeng Liu
  • Vili Lehdonvirta
  • Todorka Alexandrova
  • Tatsuo Nakajima
Regular Paper

Abstract

Recent years have witnessed the impact of crowdsourcing model, social media, and pervasive computing. We believe that the more significant impact is latent in the convergence of these ideas on the mobile platform. In this paper, we introduce a mobile crowdsourcing platform that is built on top of social media. A mobile crowdsourcing application called UbiAsk is presented as one study case. UbiAsk is designed for assisting foreign visitors by involving the local crowd to answer their image-based questions at hand in a timely fashion. Existing social media platforms are used to rapidly allocate microtasks to a wide network of local residents. The resulting data are visualized using a mapping tool as well as augmented reality (AR) technology, result in a visual information pool for public use. We ran a controlled field experiment in Japan for 6 weeks with 55 participants. The results demonstrated a reliable performance on response speed and response quantity: half of the requests were answered within 10 min, 75% of requests were answered within 30 min, and on average every request had 4.2 answers. Especially in the afternoon, evening and night, nearly 88% requests were answered in average approximately 10 min, with more than 4 answers per request. In terms of participation motivation, we found the top active crowdworkers were more driven by intrinsic motivations rather than any of the extrinsic incentives (game-based incentives and social incentives) we designed.

Keywords

Mobile crowdsourcing Mobile human computation Mobile social search Incentive mechanisms Mobile image translation Mobile Q&A 

References

  1. 1.
    Esp games. http://www.espgame.org/gwap/. Accessed Feb 2011 (2011)
  2. 2.
    Adar, E., Huberman, B.: Free riding on gnutella. First Monday 5, 10 (2000)Google Scholar
  3. 3.
    Antin, J.: Designing social psychological incentives for online collective action. In: Directions and Implications of Advanced Computing; Conference on Online Deliberation, p. DIAC (2008)Google Scholar
  4. 4.
    Arase, Y., Xie, X., Duan, M., Hara, T., Nishio, S.: A game based approach to assign geographical relevance to web images. In: WWW ’09: Proceedings of the 18th International Conference on World Wide Web, ACM Press, New York (2009) Google Scholar
  5. 5.
    B Latané, K.W., Harkins, S.: Many hands make light the work: the causes and consequences of social loafing. Pers. Soc. Psychol. 37(6):822–832 (1979)CrossRefGoogle Scholar
  6. 6.
    Benabou, R., Tirole, J.: Intrinsic and extrinsic motivation. Rev. Econ. Stud. 70(3):489–520 (2003)MathSciNetMATHCrossRefGoogle Scholar
  7. 7.
    Chandlera, D., Kapelnerb, A.: Breaking monotony with meaning: Motivation in crowdsourcing markets. Second Draft, University of Chicago Working Papers in Economics (2010)Google Scholar
  8. 8.
    Cheshire, C., Antin, J.: The social psychological effects of feedback on the production of internet information pools. Comput. Mediat. Commun. 13, 705–727 (2008)CrossRefGoogle Scholar
  9. 9.
    Horowitz, D., Kamvar, S.D..: The anatomy of a large-scale social search engine. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 431–440 (2010)Google Scholar
  10. 10.
    Deci, E., Flaste, R.: Why We Do What We Do: Understanding Self-Motivation. Penguin, London (1996)Google Scholar
  11. 11.
    Deci, E.L., Ryan, R.M.: Intrinsic Motivation and Self-Determination in Human Behavior (Perspectives in Social Psychology). Plenum Press, New York (1985)Google Scholar
  12. 12.
    Eagle, N.: txteagle: Mobile crowdsourcing. In: IDGD ’09: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009, pp. 447–456 (2009)Google Scholar
  13. 13.
    Frei, B.: Paid crowdsourcing: Current state & progress toward mainstream business use. In: Whitepaper Produced by Smartsheet.com (2009)Google Scholar
  14. 14.
    Fujisawa, H.: Forty years of research in character and document recognition—an industrial perspective. Pattern Recogn. 41, 8 (2008)CrossRefGoogle Scholar
  15. 15.
    Haritaoglu, I.: Infoscope: Link from real world to digital information space. In: Proceedings of Ubicomp 2001: International Conference on Ubiquitous Computing (2001)Google Scholar
  16. 16.
    Howe, J.: The rise of crowdsourcing. Wired magazine, issue 14.06 (2006)Google Scholar
  17. 17.
    Hsueh, P.-Y., Melville, P., Sindhwani, V.: Data quality from crowdsourcing: a study of annotation selection criteria. In: Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing (2009)Google Scholar
  18. 18.
    Judge, T. K., Neustaedter, C.: Sharing conversation and sharing life: video conferencing in the home. In: CHI ’10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 655–658, ACM, New York (2010) Google Scholar
  19. 19.
    Koga, M., Mine, R., Kameyama, T., Takahashi, T., Yamazaki, M., Yamaguchi, T.: Camera-based kanji ocr for mobile-phones: Practical issues. In: ICDAR ’05: Proceedings of the Eighth International Conference on Document Analysis and Recognition, pp. 635–639 (2005)Google Scholar
  20. 20.
    Krause, M., Takhtamysheva, A., Wittstock, M., and Malaka, R.: Frontiers of a paradigm: exploring human computation with digital games. In: HCOMP ’10: Proceedings of the ACM SIGKDD Workshop on Human Computation (2010)Google Scholar
  21. 21.
    Adamic, L.A., Zhang, J., Bakshy, E., Ackerman, M.S: Knowledge sharing and yahoo answers: everyone knows something. In: Proceedings of the 17th International World Wide Web Conference (WWW 08) (2008)Google Scholar
  22. 22.
    Liu, Y., Lehdonvirta, V., Kleppe, M., Alexandrova, T., Kimura, H., Nakajima, T.: A crowdsourcing based mobile image translation and knowledge sharing service. In: MUM ’10: Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia (2010)Google Scholar
  23. 23.
    MacDonald, C., Ounis, I.: Voting for candidates: adapting data fusion techniques for an expert search task. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management, 6–11 November 2006, Arlington, Virginia, USA (2006) Google Scholar
  24. 24.
    Mockus, A., Fielding, R.T., Andersen, H.: Two case studies of open source software development: Apache and mozilla. ACM Trans. Softw. Eng. Methodol. 11(3):309–346 (2001)Google Scholar
  25. 25.
    Morris, M.R., Teevan, J., Panovich, K.: What do people ask their social networks, and why?: a survey study of status message q&a behavior. In: CHI ’10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 1739–1748 (2010)Google Scholar
  26. 26.
    Nakajima, H., Matsuo, Y., Nagata, M., Saito, K.: Portable translator capable of recognizing characters on signboard and menu captured by built-in camera. In: Proceedings of the ACL 2005 on Interactive Poster and Demonstration Sessions (2005)Google Scholar
  27. 27.
    Nielsen, J.: Recruiting test participants for usability studies. http://www.useit.com/alertbox/20030120.html. Accessed Feb 2011 (2011)
  28. 28.
    Rekimoto, J.: Navicam: A palmtop device approach to augmented reality. In: Barfield, W., Caudell, T. (eds.) Foundamentals of Wearable Computers and Augmented Reality, Laurence Erlbaum Associates, New Jersey (2001)Google Scholar
  29. 29.
    Ross, J., Irani, L., Silberman, M. S., Zaldivar, A., Tomlinson, B.: Who are the crowdworkers?: shifting demographics in mechanical turk. In: CHI EA ’10: Proceedings of the 28th of the International Conference Extended Abstracts on Human Factors in Computing Systems (2010)Google Scholar
  30. 30.
    von Ahn, L.: Games with a purpose. IEEE Comput. Mag. 39(6): 92–94 (2006)Google Scholar
  31. 31.
    von Ahn, L.: Human computation. In: K-CAP ’07: Proceedings of the 4th International Conference on Knowledge Capture, pp. 5–6 (2007)Google Scholar
  32. 32.
    Yan, T., Kumar, V., Ganesan, D.: Crowdsearch: exploiting crowds for accurate real-time image search on mobile phones. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, ACM, New York (2010)Google Scholar
  33. 33.
    Zajonc, R.B.: Social facilitation. Science 149(3681), 269–274 (1965)Google Scholar
  34. 34.
    Zichermann, G., Linder, J.: Game-Based Marketing: Inspire Customer Loyalty Through Rewards, Challenges, and Contests. Wiley, London (2010)Google Scholar
  35. 35.
    Zyda, M.: From visual simulation to virtual reality to games. Computer 38(8):25–32 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Yefeng Liu
    • 1
  • Vili Lehdonvirta
    • 2
  • Todorka Alexandrova
    • 1
  • Tatsuo Nakajima
    • 1
  1. 1.Department of Computer Science, Faculty of Science and EngineeringWaseda UniversityTokyoJapan
  2. 2.Helsinki Institute for Information TechnologyAaltoFinland

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