The “prince” technique: Fitts' law and selection using area cursors
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Physical versus virtual pointing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making computers easier for older adults to use: area cursors and sticky icons
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Testing pointing device performance and user assessment with the ISO 9241, Part 9 standard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Disentangling relative from absolute amplitude in Fitts' law experiments
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Human on-line response to target expansion
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Refining Fitts' law models for bivariate pointing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pointing at trivariate targets in 3D environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Semantic pointing: improving target acquisition with control-display ratio adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Object pointing: a complement to bitmap pointing in GUIs
GI '04 Proceedings of the 2004 Graphics Interface Conference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Snap-and-go: helping users align objects without the modality of traditional snapping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
"Beating" Fitts' law: virtual enhancements for pointing facilitation
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
A probabilistic approach to modeling two-dimensional pointing
ACM Transactions on Computer-Human Interaction (TOCHI)
Fitts' law and expanding targets: Experimental studies and designs for user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
An evaluation of sticky and force enhanced targets in multi target situations
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Ninja cursors: using multiple cursors to assist target acquisition on large screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DynaSpot: speed-dependent area cursor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Rake cursor: improving pointing performance with concurrent input channels
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
23rd French Speaking Conference on Human-Computer Interaction
Extending Fitts' law to account for the effects of movement direction on 2d pointing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Fitts' pointing paradigm is widely used to conduct controlled experiments and to evaluate new interaction techniques enhancing target acquisition. Many of them change the behavior of the cursor according to various inputs, most notably the positions of potential targets. We propose to extend Fitts' paradigm in order to challenge those techniques with distractors (i.e., potential targets which are not the goal of the user) in a controlled manner. To reduce variability, we add a single new factor to the paradigm, the distractor density. We specify a distractors distribution, fully determined by this factor together with those of Fitts' task, aimed at reducing bias toward a specific technique. We also propose a preliminary extension of Fitts' law to take account of the sensitivity to the density of distractors as well as of the task difficulty. In an experiment, we compare five existing pointing techniques, and show that this extended protocol enables contrasted comparisons between them.