Observation quality field based collaborative object manipulation in VR
In virtual reality(VR),interacting with objects serves as a crucial form of interaction,especially in collaborative VR applications where efficient and accurate operations are extremely important.However,traditional collaborative operation techniques have failed to adequately consider the interactions among objects,targets,and environmental dynamics,nor have they provided effective guidance to assist users in selecting the best viewpoint during operations.To address this issue,a new collaborative operation technique based on the Observation Quality Field(OQF)was introduced,aimed at enhancing operational accuracy and efficiency.This technique guided users to choose the most appropriate viewpoint based on their observation quality score,facilitating more efficient and coordinated object operation.Initially,the concept and construction method of the Observation Quality Field were introduced,followed by two strategies to accelerate the OQF update process.Subsequently,a collaborative operation method using OQF guidance for object operation was presented.Through a user study involving 36 participants conducted in three different virtual environments—living room,warehouse,and pipeline—the efficiency and accuracy of this technique were evaluated.The results showed that compared to traditional methods,the OQF technique significantly reduced task completion time,positional errors,rotational errors,and overall task load.
万方数据
维普
