Effect of Control Movement Scale on Visual Haptic Interactions

Isaac, Joseph; Krishnadas, Arun; Damodaran, Natesan; Manivannan, M.

doi:10.1007/978-3-319-93445-7_14

Cited by 2 publications

(5 citation statements)

References 16 publications

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“…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%

“…The concept of scaling in visual and motor domains are widely studied. [42][43][44] In our earlier work, 45 where depth influences performance. [46][47][48] Each of these papers mention methods by which Fitts's law in the 2D virtual world can now be applied to a 3D virtual environment.…”

Section: D Fitts's Law and Mstmentioning

confidence: 98%

“…The concept of scaling in visual and motor domains are widely studied 42–44 . In our earlier work, 45 we studied various Movement Scales for 2D tapping tasks using Fitts's law. The results have shown that the performance was an inverted U‐shaped function of the Movement Scale.…”

Section: Hci Law For Mstmentioning

confidence: 99%

“…Our previous work 45 found an optimum Movement Scale in a 2D environment by considering four different Movement Scales in the macro range (1:2, 1:2 4, 1:3.3, 1:4.9). The following are the differences in the present work compared to our previous work: First, the environment used in the present study is 3D, which involves depth effect, and it is an entirely immersive VR space, whereas the previous study is a desktop screen which is not fully immersive.…”

Section: Hci Law For Mstmentioning

confidence: 99%

“…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.…”

mentioning

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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Section: Methodsmentioning

confidence: 99%