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Leveraging Haptic Feedback in Mixed Reality: Enhancing Training, Skill Acquisition and Robotic Simulation

Year
2023
Citations
1
Access
Open access

Abstract

This research analyzes the integration of haptic feedback in mixed reality (MR) settings, emphasizing its applications in training, skill enhancement, and robotic simulation. This study analyzes the progression of haptic feedback systems from passive to active configurations, evaluating their efficacy across multiple fields such as medical training, robotics, and education. A thorough analysis of recent advancements demonstrates that haptic-enhanced MR systems consistently improve task completion and success rates across many applications. The study emphasizes the synergistic relationship between visual and tactile stimuli in enhancing immersive and effective training settings. Evidence indicates that the integration of haptic feedback markedly improves user confidence, decreases error rates, and promotes skill retention in various applications. Current technological obstacles are examined, and prospective future research avenues in haptic feedback systems are suggested.

Keywords

RanComputer scienceC-RANComputer networkRadio access networkBase station

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