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Journal of Graphics ›› 2024, Vol. 45 ›› Issue (6): 1338-1348.DOI: 10.11996/JG.j.2095-302X.2024061338

• Computer Graphics and Virtual Reality • Previous Articles     Next Articles

Observation quality field based collaborative object manipulation in VR

LUAN Shuai1(), WU Jian1, FAN Runze1, WANG Lili1,2()   

  1. 1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
    2. Peng Cheng Laboratory, Shengzhen Guangdong 518000, China
  • Received:2024-06-05 Accepted:2024-09-01 Online:2024-12-31 Published:2024-12-24
  • Contact: WANG Lili
  • About author:First author contact:

    LUAN Shuai (2000-), master student. His main research interests cover virtual reality, augmented reality and HCI. E-mail:luanshuai@buaa.edu.cn

  • Supported by:
    National Natural Science Foundation of China(62372026);National Natural Science Foundation of China(61932003);Beijing Science and Technology Plan Project(Z221100007722004);National Key Research and Development Plan(2019YFC1521102)

Abstract:

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.

Key words: virtual reality, collaboration, object manipulation, observation quality field, human-computer interaction

CLC Number: