Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Analyzing the input stream for character- level errors in unconstrained text entry evaluations
ACM Transactions on Computer-Human Interaction (TOCHI)
BigKey: A Virtual Keyboard for Mobile Devices
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Usability guided key-target resizing for soft keyboards
Proceedings of the 15th international conference on Intelligent user interfaces
Floodkey: increasing software keyboard keys by reducing needless ones without occultation
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Typing on flat glass: examining ten-finger expert typing patterns on touch surfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The 1line keyboard: a QWERTY layout in a single line
Proceedings of the 24th annual ACM symposium on User interface software and technology
Personalized input: improving ten-finger touchscreen typing through automatic adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Input finger detection for nonvisual touch screen text entry in Perkinput
Proceedings of Graphics Interface 2012
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On a touchscreen keyboard, it can be difficult to continuously type without frequently looking at the keys. One factor contributing to this difficulty is called hand drift, where a user's hands gradually misalign with the touchscreen keyboard due to limited tactile feedback. Although intuitive, there remains a lack of empirical data to describe the effect of hand drift. A formal understanding of it can provide insights for improving soft keyboards. To formally quantify the degree (magnitude and direction) of hand drift, we conducted a 3-session study with 13 participants. We measured hand drift with two typing interfaces: a visible conventional keyboard and an invisible adaptive keyboard. To expose drift patterns, both keyboards used relaxed letter disambiguation to allow for unconstrained movement. Findings show that hand drift occurred in both interfaces, at an average rate of 0.25mm/min on the conventional keyboard and 1.32mm/min on the adaptive keyboard. Participants were also more likely to drift up and/or left instead of down or right.