Effect of Control Movement Scale on Visual Haptic Interactions
13 Jun 2018-pp 150-162
TL;DR: It was found that the performance of the participants increases with the scale and has an optimum scale at 1:3.3 before reducing rapidly, which is better than natural movements in tasks which require extended accuracy.
Abstract: Although the human hand is a complex system which can perform multiple actions, when the kinaesthetic actions are scaled in a system, the applications are limitless. In this paper, we examine the effect of control movement scale on user’s kinaesthetic actions. We use the Fitts’ Law for quantifying the user’s performance on different scales and to verify if higher control movement scale, in general, can be better than natural movements in tasks which require extended accuracy. The experiment consists of a Wacom™ tablet as an input device connected to a system. The tablet provides means for scaling the kinaesthetic input movement of a user. The experiment is a modified version of the classical multi-directional tapping task. It was performed on 16 healthy participants with ages between 20 to 48 years. The Fitts’ regressions were visualised and the Z-scores were computed. It was found that the performance of the participants increases with the scale and has an optimum scale at 1:3.3 before reducing rapidly. Future works include experiments involving 3D models and other haptic input devices.
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TL;DR: 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 is proposed.
Abstract: 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.
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TL;DR: To reduce VKC during scaled movements, tasks should be designed such that the visual awareness of the real hand is avoided.
Abstract: Considering 3D interactions in Virtual-Reality (VR), it is critical to study how visual awareness of real hands influences users scaled interaction performance in different VR environments. We used...