Improving Web interaction on small displays
WWW '99 Proceedings of the eighth international conference on World Wide Web
Improving Browsing Performance: A study of four input devices for scrolling and pointing tasks
INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
A simple movement time model for scrolling
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Superflick: a natural and efficient technique for long-distance object placement on digital tables
GI '06 Proceedings of Graphics Interface 2006
Multi-flick: an evaluation of flick-based scrolling techniques for pen interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
One-handed mobile video browsing
Proceedings of the 1st international conference on Designing interactive user experiences for TV and video
Interfaces for timeline-based mobile video browsing
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring effectiveness of physical metaphor in interaction design
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Touch scrolling transfer functions
Proceedings of the 26th annual ACM symposium on User interface software and technology
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With the increasing use of mobile devices with full-touch screens, screen-movement methods, especially those for scrolling, have become critical. Flick is one of the most preferred screen movement methods for scrolling. To improve the usability of flick, this study evaluated various mapping functions for one-handed flick. Mapping functions are models that show the relationship between the velocity of input and the movement of the screen. They were established by combining four types of functions, linear, quadratic, log, and logistic, and three initial screen movement velocities at the maximum control velocity of the flick, 222, 444, and 666 mm/s. After being used to find targets on a contact list, the mapping functions were evaluated by measuring task completion time and ease of use. We recommend the linear function with 444 mm/s and the quadratic function with 444 mm/s or 666 mm/s as the mapping function for flicking.