Dynamic cursor gain and tactual feedback in the capture of cursor movements

Keyson, DV David

doi:10.1080/001401397187379

Cited by 41 publications

(21 citation statements)

References 13 publications

(12 reference statements)

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“…A scroll bar, for example, would be difficult to use if the pointer continually warped toward the window border. Keyson (1997) examined target acquisition across four feedback conditions: visual; visual + tactual (force feedback 'trackball'); visual + control-display gain 'stickiness'; and visual + tactual + sticky. Although their study did not isolate the impact of tactile feedback, results indicate that it had a much larger positive impact on targeting than control-display gain.…”

Section: Stickiness and Target Acquisitionmentioning

confidence: 99%

Multimodal feedback for the acquisition of small targets

Cockburn

Brewster

2005

Ergonomics

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This paper examines how multimodal feedback assists small-target acquisition in graphical user interfaces. All combinations of three feedback modes are analysed: non-speech audio; tactile; and pseudo-haptic 'sticky' feedback. The tactile conditions used stimulation through vibration (rather than forcefeedback), and the sticky conditions were implemented by dynamically reconfiguring mouse control-display gain as the cursor entered the target. Results show that for small, discretely located targets all feedback modes reduce targeting times, with stickiness providing substantial improvements. Furthermore, stickiness and tactile appear to combine well. However, the results of a more ecologically oriented menu-selection task show the need for caution, revealing that excessive feedback can damage interaction though 'noise' that interferes with the acquisition of neighbouring targets.

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Section: Stickiness and Target Acquisitionmentioning

confidence: 99%

Multimodal feedback for the acquisition of small targets

Cockburn

Brewster

2005

Ergonomics

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“…• Adjust the dynamics (control-display gains) for pointing motions to more quickly gravitate to and then linger within intended targets [19,29,7,2,15];…”

Section: Introductionmentioning

confidence: 99%

Probabilistic pointing target prediction via inverse optimal control

Ziebart

Dey

Bagnell

2012

Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces

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Numerous interaction techniques have been developed that make "virtual" pointing at targets in graphical user interfaces easier than analogous physical pointing tasks by invoking target-based interface modifications. These pointing facilitation techniques crucially depend on methods for estimating the relevance of potential targets. Unfortunately, many of the simple methods employed to date are inaccurate in common settings with many selectable targets in close proximity. In this paper, we bring recent advances in statistical machine learning to bear on this underlying target relevance estimation problem. By framing past target-driven pointing trajectories as approximate solutions to well-studied control problems, we learn the probabilistic dynamics of pointing trajectories that enable more accurate predictions of intended targets.

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“…Keyson [17] propose une utilisation originale de l'adaptation de gain pour créer un effet d'accroche. En imposant un mouvement plus grand pour sortir de la cible que pour y entrer sans changer le mouvement nécessaire pour la traverser, sa technique préserve l'indice de difficulté des tâches de pointage.…”

Section: Réduire D Et Augmenter Wunclassified

“…Les tâches de pointage discret 2D sont celles qui ont reçu le plus d'attention [2,1,17,19,12,16]. Le pointage réci-proque 1D [9], le pointage réciproque 2D et le franchissement [13], la traversée de tunnel [7,11] ainsi que des tâches de nature écologique [19,11,9] ont également été étudiés.…”

Section: Utilisation Du Retour Haptique Pour Faciliter Le Pointageunclassified

Efficacité et robustesse aux distracteurs d'un retour tactile pour faciliter le pointage

Casiez

Roussel

Vanbelleghem

et al. 2010

Proceedings of the 22nd Conference on l'Interaction Homme-Machine

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RESUMESurfpad est une technique de facilitation du pointage tirant parti de la possibilité de modifier le coefficient de friction d'un pavé tactile. Nous décrivons deux expériences comparant cette technique au pointage sémantique et à un gain control-display constant, avec et sans distracteurs. Nos résultats montrent les limites de l'adaptation de gain sensible aux cibles en présence de distracteurs et les avantages de notre approche tactile dans les deux cas. Le gain de temps permis par Surfpad face au pointage sans assistance peut aller jusqu'à 21% dans le cas de petites cibles sans distracteur. Notre technique est également robuste aux grandes densités de distracteurs, améliorant en moyenne les performances de près de 10% quand le pointage sémantique peut les dégrader jusqu'à 100%. ABSTRACTSurfpad is a pointing facilitation technique that operates in the tactile domain by taking advantage of the ability to alter a touchpad's coefficient of friction.We report on two experiments comparing it to the semantic pointing technique and constant control-display gain with and without distractor targets. Our results clearly show the limits of traditional target-aware gain adaptation in the latter case, and the benefits of our tactile approach in both cases. Surfpad can lead to a performance improvement of up to 21% compared to unassisted pointing at small targets with no distractor. It is also robust to high distractor densities, keeping an average performance improvement of nearly 10% while semantic pointing can degrade up to 100%.

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Dynamic cursor gain and tactual feedback in the capture of cursor movements

Cited by 41 publications

References 13 publications

Multimodal feedback for the acquisition of small targets

Multimodal feedback for the acquisition of small targets

Probabilistic pointing target prediction via inverse optimal control

Efficacité et robustesse aux distracteurs d'un retour tactile pour faciliter le pointage

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