Reporting and Visualizing Fitts's Law

Jude, Alvin; Guinness, Darren; Poor, G. Michael

doi:10.1145/2851581.2892364

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…According to Jude et al 58 using a means‐per‐user and mean‐of‐means method instead of Soukereff and MacKenzie's method 41 improves the goodness‐of‐fit (

R^{2}

) and Pearson's r coefficient. This is since the variance of the MT increases when the difficulty of the task increases, hence fitting a line to these points could have errors.…”

Section: Methodsmentioning

confidence: 99%

“…Clicking at the centre of the target sphere emphasizes the need to select target tissues accurately in a VR environment. Based on these requirements, the D and W given in Equation are modified into effective diameter ( D e ) and effective width ( W e ) 45,58 . W e represents the average distance between the point where the cursor is clicked and the centre of the sphere, D e represents the average distance from one sphere to another traversed by the subject with the cursor.…”

Section: Methodsmentioning

confidence: 99%

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Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system

Vasudevan

Isaac

Sadanand

et al. 2020

Robotics Computer Surgery

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Background: Training surgeons to use surgical robots are becoming part of surgical training curricula. We propose a novel method of training fine-motor skills such as Microscopic Selection Task (MST) for robot-assisted surgery using virtual reality (VR) with objective quantification of performance. We also introduce vibrotactile feedback (VTFB) to study its impact on training performance. Methods: We use a VR-based environment to perform MST with varying degrees of difficulties. Using a well-known human-computer interaction paradigm and incorporating VTFB, we quantify the performance: speed, precision and accuracy. Results: MST with VTFB showed statistically significant improvement in performance metrics leading to faster completion of MST with higher precision and accuracy compared to that without VTFB. Discussion: The addition of VTFB to VR-based training for robot-assisted surgeries may improve performance outcomes in real robotic surgery. VTFB, along with proposed performance metrics, can be used in training curricula for robot-assisted surgeries. K E Y W O R D S human-computer interaction, psychomotor, surgical robot, true positive rate, vibrotactile feedback 1 | INTRODUCTION Surgical robots are increasingly being used in almost every multispecialty hospital. Currently, they have multiple applications in pelvic, abdominal, select-chest and neurosurgical procedures. 1-6 The technology of surgical robots today has advanced sufficiently to provide a high degree of freedom in the robots' arm movements, control and stereoscopic vision. The improved user-interface of these technologies has led to better on-the-job performance and faster learning curves in the use of surgical robots such as da Vinci®, 7 ROSA® 8,9 and Senhance™. 10 Psychomotor skills play a vital role in surgical task performance with increased speed, accuracy, sensitivity and precision. Surgical robotic systems typically seek to help surgeons perform surgeries with higher accuracy, faster responses to intraoperative complications and increased dexterity. Quantification of psychomotor skills became essential with robotic surgical training systems that emphasize rare complex surgical scenarios, challenges and evaluations of these skills. Training and evaluation of these skills are crucial for effective analysis of the surgeons in the tasks as mentioned earlier. The evaluation of the performance is currently through cognitive, technical and non-technical skills. Technical skills (TS)

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“…According to Jude et al 58 using a means‐per‐user and mean‐of‐means method instead of Soukereff and MacKenzie's method 41 improves the goodness‐of‐fit (

R^{2}

) and Pearson's r coefficient. This is since the variance of the MT increases when the difficulty of the task increases, hence fitting a line to these points could have errors.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system

Vasudevan

Isaac

Sadanand

et al. 2020

Robotics Computer Surgery

View full text Add to dashboard Cite

show abstract

“…qui étudient les profils temporels et spatiaux de la position et de ses dérivées successives. Pour l'étude des point d'arrivées, le modèle de Fitts et la régression linéaire sont massivement utilisés, même si récemment quelques voix en IHM remettent cette dernière en question [17,27,32].…”

Section: Analyse De L'existantunclassified

“…Drewes [5] note que la fiabilité de l'estimation de a et b à travers la valeur de r 2 est largement surestimé : la variabilité des données est en réalité dissimulée par le moyennage des données avant le calcul de régression. Dans la même veine, Jude et al [27] militent pour afficher la variabilité complète des données. Un travail récent de Nieuwenhuizen & Martens [32] reconnaît que les données empiriques de pointage violent dans la majorité des cas les hypothèses de sphéricité 6 , et propose d'appliquer une transformation dite de Box-Cox bien connue en statistiques.…”

Section: Méthodes De Régressionunclassified

Multi-evaluation of pointing and application to dyspraxia evaluation

Gori

Beaudouin-Lafon

Guiard

2019

Proceedings of the 31st Conference on l'Interaction Homme-Machine

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Fitts law is widely used in HCI to evaluate pointing performance. However it presents flaws that can be exacerbated when the evaluation takes place with atypical populations. In this article, we present three evaluation methods for pointing performance that have been proposed recently (the WHo model, the EMG regression and the method of PVPs) and that address one or more of these flaws. We illustrate the methods on real data (4 typical subjects, 2 young subjects with dyspraxia) and discuss pros and cons of each method of this new toolbox. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; Pointing; Visualization techniques. KEYWORDS evaluation, pointing, Fitts' law, dyspraxia, atypical populations RÉSUMÉ La loi de Fitts est utilisée invariablement en IHM pour évaluer la performance du pointage. Elle est toutefois confrontée à certains défauts, qui peuvent être exacerbés lors d'évaluations avec des populations atypiques. Dans cet article, nous présentons trois outils d'évaluation du pointage proposées récemment (le modèle WHo, la régression EMG et la méthode des PVPs) qui fournissent des réponses à ces défauts.

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“…From this summary alone, they were indistinguishable. If one had used different summaries, such as those from Jude et al [17], striking differences would have emerged. For example, the variance of the two datasets are very different.…”

Section: Do Not Trust a Good Rmentioning

confidence: 99%

The Perils of Confounding Factors

Gori

Rioul

Guiard

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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The design of Fitts' historical reciprocal tapping experiment gravely confounds index of difficulty ID with target distance D: Summary statistics for the candidate Fitts model and a competing model may appear identical, and the validity of Fitts' model for some tasks can be legitimately questioned. We show that the contamination of ID by either target distance D or width W is due to the common practices of pooling and averaging data belonging to different distance-width (D,W) pairs for the same ID, and taking a geometric progression for values of D and W. We analyze a case study of the validation of Fitts' law in eye-gaze movements, where an unfortunate experimental design has misled researchers into believing that eye-gaze movements are not ballistic. We then provide simple guidelines to prevent confounds: Practitioners should carefully design the experimental conditions of (D,W), fully distinguish data acquired for different conditions, and put less emphasis on r 2 scores. We also recommend investigating the use of stochastic sampling for D and W.

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Reporting and Visualizing Fitts's Law

Cited by 10 publications

References 10 publications

Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system

Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system

Multi-evaluation of pointing and application to dyspraxia evaluation

The Perils of Confounding Factors

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