关键词: Augmented reality Manual pointing Sensorimotor recalibration Virtual reality

Mesh : Humans Male Female Virtual Reality Adult Young Adult Psychomotor Performance / physiology Task Performance and Analysis Augmented Reality Movement / physiology

来  源:   DOI:10.1038/s41598-024-69116-w   PDF(Pubmed)

Abstract:
The popularity of mixed reality (MR) technologies, including virtual (VR) and augmented (AR) reality, have advanced many training and skill development applications. If successful, these technologies could be valuable for high-impact professional training, like medical operations or sports, where the physical resources could be limited or inaccessible. Despite MR\'s potential, it is still unclear whether repeatedly performing a task in MR would affect performance in the same or related tasks in the physical environment. To investigate this issue, participants executed a series of visually-guided manual pointing movements in the physical world before and after spending one hour in VR or AR performing similar movements. Results showed that, due to the MR headsets\' intrinsic perceptual geometry, movements executed in VR were shorter and movements executed in AR were longer than the veridical Euclidean distance. Crucially, the sensorimotor bias in MR conditions also manifested in the subsequent post-test pointing task; participants transferring from VR initially undershoot whereas those from AR overshoot the target in the physical environment. These findings call for careful consideration of MR-based training because the exposure to MR may perturb the sensorimotor processes in the physical environment and negatively impact performance accuracy and transfer of training from MR to UR.
摘要:
混合现实(MR)技术的普及,包括虚拟(VR)和增强(AR)现实,拥有许多高级培训和技能开发应用程序。如果成功,这些技术对于高影响力的专业培训可能是有价值的,比如医疗手术或运动,物理资源可能有限或无法访问。尽管MR有潜力,目前尚不清楚在MR中重复执行一项任务是否会影响物理环境中相同或相关任务的表现.为了调查这个问题,参与者在VR或AR中花费一小时执行类似动作之前和之后,在物理世界中执行了一系列视觉引导的手动指向动作。结果表明,由于MR耳机固有的感知几何形状,在VR中执行的运动较短,在AR中执行的运动比真实欧几里德距离长。至关重要的是,MR条件下的感觉运动偏差也表现在随后的测试后指向任务中;从VR转移的参与者最初下冲,而从AR转移的参与者在物理环境中过冲目标。这些发现要求仔细考虑基于MR的训练,因为暴露于MR可能会干扰物理环境中的感觉运动过程,并对性能准确性和训练从MR到UR的转移产生负面影响。
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