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Observational and experimental investigation of typing behaviour using virtual keyboards for mobile devices

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Published:05 May 2012Publication History

ABSTRACT

With the rise of current smartphones, virtual keyboards for touchscreens became the dominant mobile text entry technique. We developed a typing game that records how users touch on the standard Android keyboard to investigate users' typing behaviour. 47,770,625 keystrokes from 72,945 installations have been collected by publishing the game. By visualizing the touch distribution we identified a systematic skew and derived a function that compensates this skew by shifting touch events. By updating the game we conduct an experiment that investigates the effect of shifting touch events, changing the keys' labels, and visualizing the touched position. Results based on 6,603,659 keystrokes and 13,013 installations show that visualizing the touched positions using a simple dot decreases the error rate of the Android keyboard by 18.3% but also decreases the speed by 5.2% with no positive effect on learnability. The Android keyboard outperforms the control condition but the constructed shift function further improves the performance by 2.2% and decreases the error rate by 9.1%. We argue that the shift function can improve existing keyboards at no costs.

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References

  1. Apple Inc. iOS Human Interface Guidelines, 2010.Google ScholarGoogle Scholar
  2. Balakrishnan, V., and Yeow, P. A study of the effect of thumb sizes on mobile phone texting satisfaction. Journal of Usability Studies 3 (2008).Google ScholarGoogle Scholar
  3. Gunawardana, A., Paek, T., and Meek, C. Usability guided key-target resizing for soft keyboards. In Proc. IUI (2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Henze, N., Rukzio, E., and Boll, S. 100,000,000 taps: Analysis and improvement of touch performance in the large. In Proc. MobileHCI (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Himberg, J., Häkkilä, J., Kangas, P., and Mäntyjärvi, J. On-line personalization of a touch screen based keyboard. In Proc. IUI (2003). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Holz, C., and Baudisch, P. Understanding touch. In Proc. CHI (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Karlson, A. Interface Design for Single-Handed Use of Small Devices. In Proc. UIST (2008).Google ScholarGoogle Scholar
  8. Kristensson, P.-O., and Zhai, S. Relaxing stylus typing precision by geometric pattern matching. In Proc. IUI (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lee, S., and Zhai, S. The performance of touch screen soft buttons. In Proc. CHI (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Lewis, J. R. Literature review of touch screen research from 1980 to 1992. In IBM Technical Report 54.694 (1993).Google ScholarGoogle Scholar
  11. MacKenzie, I., and Soukoreff, R. Phrase sets for evaluating text entry techniques. In Adjunct Proc. CHI (2003). Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Parhi, P., Karlson, A., and Bederson, B. Target size study for one-handed thumb use on small touchscreen devices. In Proc. MobileHCI (2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Park, Y., Han, S., Park, J., and Cho, Y. Touch key design for target selection on a mobile phone. In Proc. MobileHCI (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Perry, K., and Hourcade, J. Evaluating one handed thumb tapping on mobile touchscreen devices. In Proc. GI (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Roudaut, A., Huot, S., and Lecolinet, E. TapTap and MagStick: improving one-handed target acquisition on small touch-screens. In Proc. AVI (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Rudchenko, D., Paek, T., and Badger, E. Text text revolution: A game that improves text entry on mobile touchscreen keyboards. In Proc. Pervasive (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Schildbach, B., and Rukzio, E. Investigating selection and reading performance on a mobile phone while walking. In Proc. MobileHCI (2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Sears, A. Improving touchscreen keyboards: Design issues and a comparison with other devices. Interacting with computers 3 (1991).Google ScholarGoogle Scholar
  19. Sears, A., and Zha, Y. Data entry for mobile devices using soft keyboards: Understanding the effects of keyboard size and user tasks. International Journal of Human-Computer Interaction 16 (2003).Google ScholarGoogle Scholar
  20. Vogel, D., and Baudisch, P. Shift: a technique for operating pen-based interfaces using touch. In Proc. CHI (2007). Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Yatani, K., Partridge, K., Bern, M., and Newman, M. Escape: a target selection technique using visually-cued gestures. In Proc. CHI (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM Conferences
      CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2012
      3276 pages
      ISBN:9781450310154
      DOI:10.1145/2207676

      Copyright © 2012 ACM

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      Publication History

      • Published: 5 May 2012

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