Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy

Article English OPEN
Musić, Josip ; Weir, Daryl ; Murray-Smith, Roderick ; Rogers, Simon (2016)

Walking and typing on a smartphone is an extremely common interaction. Previous research has shown that error rates are higher when walking than when stationary. In this paper we analyse the acceleration data logged in an experiment in which users typed whilst walking, and extract the gait phase angle. We find statistically significant relationships between tapping time, error rate and gait phase angle. We then use the gait phase as an additional input to an offset model, and show that this allows more accurate touch interaction for walking users than a model which considers only the recorded tap position.
  • References (22)
    22 references, page 1 of 3

    1. Johnson P (1998) Usability and mobility; interactions on the move. In: Proceedings of the First Workshop on Human-Computer Interaction with Mobile Devices. http://www.dcs.gla.ac.uk/~johnson/papers/mobile/HCIMD1. html

    2. Goel M, Findlater L, Wobbrock J (2012) Walktype: using accelerometer data to accomodate situational impairments in mobile touch screen text entry. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA. pp 2687-2696

    3. Azenkot S, Zhai S (2012) Touch behavior with different postures on soft smartphone keyboards. In: Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services. ACM, New York, NY, USA. pp 251-260

    4. Goel M, Jansen A, Mandel T, Patel SN, Wobbrock JO (2013) Contexttype: using hand posture information to improve mobile touch screen text entry. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA. pp 2795-2798

    5. Goel M, Wobbrock J, Patel S (2012) Gripsense: using built-in sensors to detect hand posture and pressure on commodity mobile phones. In: Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology. ACM, New York, NY, USA. pp 545-554

    6. Baldwin T, Chai J (2012) Towards online adaptation and personalization of key-target resizing for mobile devices. In: Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces. ACM, New York, NY, USA. pp 11-20

    7. Mizobuchi S, Chignell M, Newton D (2005) Mobile text entry: relationship between walking speed and text input task difficulty. In: Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices & Services. ACM, New York, NY, USA. pp 122-128

    8. Bergstrom-Lehtovirta J, Oulasvirta A, Brewster S (2011) The effects of walking speed on target acquisition on a touchscreen interface. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. ACM, New York, NY, USA. pp 143-146

    9. Schildbach B, Rukzio E (2010) Investigating selection and reading performance on a mobile phone while walking. In: Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services. ACM, New York, NY, USA. pp 93-102

    10. Crossan A, Murray-Smith R, Brewster S, Kelly J, Musizza B (2005) Gait phase effects in mobile interaction. In: ACM SIG CHI 2005, Portland. ACM, New York, NY, USA. pp 1312-1315

  • Metrics
    No metrics available
Share - Bookmark