CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
T-Cube: a fast, self-disclosing pen-based alphabet
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An efficient text input method for pen-based computers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Don't click, paint! Using toggle maps to manipulate sets of toggle switches
Proceedings of the 11th annual ACM symposium on User interface software and technology
Quikwriting: continuous stylus-based text entry
Proceedings of the 11th annual ACM symposium on User interface software and technology
Reflowing digital ink annotations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Performance of menu-augmented soft keyboards
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experimental analysis of mode switching techniques in pen-based user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pointing lenses: facilitating stylus input through visual-and motor-space magnification
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CodeAnnotator: digital ink annotation within Eclipse
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
Graffiti vs. unistrokes: an empirical comparison
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Optimal parameters for efficient crossing-based dialog boxes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On-line Arabic handwriting recognition with templates
Pattern Recognition
| Hi-index | 0.00 |
Using a stylus as the input device to fill forms- is frustrating because standard form controls are optimised for keyboard and mouse entry. We have augmented the behaviour of the three most common form controls to improve support for stylus input. Furthermore, because the target users are medical clinicians and they frequently annotate images, we have built an image annotation control. We report the design and implementation of stylus-friendly controls and two evaluations: the first to usability test all the new controls and the second to compare performance between the new selection controls and standard selection controls. All the new data controls were preferred by the study participants and the selection controls are faster and less error prone. The image annotation control was found to be easy to use and allows extra data to be collected.