POBox: An Efficient Text Input Method for Handheld and Ubiquitous Computers
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Language modeling for soft keyboards
Eighteenth national conference on Artificial intelligence
Relaxing stylus typing precision by geometric pattern matching
Proceedings of the 10th international conference on Intelligent user interfaces
Tactile feedback for mobile interactions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text Entry Systems: Mobility, Accessibility, Universality
Text Entry Systems: Mobility, Accessibility, Universality
Investigating the effectiveness of tactile feedback for mobile touchscreens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The performance of touch screen soft buttons
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
BigKey: A Virtual Keyboard for Mobile Devices
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Towards online adaptation and personalization of key-target resizing for mobile devices
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Autonomous self-assessment of autocorrections: exploring text message dialogues
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Mobile devices with touch capabilities often utilize touchscreen keyboards. However, due to the lack of tactile feedback, users often have to switch their focus of attention between the keyboard area, where they must locate and click the correct keys, and the text area, where they must verify the typed output. This can impair user experience and performance. In this paper, we examine multimodal feedback and guidance signals that keep users' focus of attention in the keyboard area but also provide the kind of information users would normally receive in the text area. We evaluated whether combinations of multimodal signals could improve typing performance in a controlled experiment. One combination reduced keystrokes-per-character by 8% and correction backspaces by 28%.