WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry

  • Authors:
  • Mayank Goel;Leah Findlater;Jacob Wobbrock

  • Affiliations:
  • University of Washington, Seattle, Washington, United States;University of Maryland, College Park, Maryland, & University of Washington, Seattle, Washington, United States;University of Washington, Seattle, Washington, United States

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

The lack of tactile feedback on touch screens makes typing difficult, a challenge exacerbated when situational impairments like walking vibration and divided attention arise in mobile settings. We introduce WalkType, an adaptive text entry system that leverages the mobile device's built-in tri-axis accelerometer to compensate for extraneous movement while walking. WalkType's classification model uses the displacement and acceleration of the device, and inference about the user's footsteps. Additionally, WalkType models finger-touch location and finger distance traveled on the screen, features that increase overall accuracy regardless of movement. The final model was built on typing data collected from 16 participants. In a study comparing WalkType to a control condition, WalkType reduced uncorrected errors by 45.2% and increased typing speed by 12.9% for walking participants.