Open Access

ARTICLE

Adaptive Consistent Management to Prevent System Collapse on Shared Object Manipulation in Mixed Reality

Jun Lee¹, Hyun Kwon^2,*

1 Department of Game Software, Hoseo University, Asan-si, Korea
2 Department of Artificial Intelligence and Data Science, Korea Military Academy, Seoul, Korea

* Corresponding Author: Hyun Kwon. Email:

Computers, Materials & Continua 2023, 75(1), 2025-2042. https://doi.org/10.32604/cmc.2023.036051

Received 15 September 2022; Accepted 08 December 2022; Issue published 06 February 2023

Abstract

A concurrency control mechanism for collaborative work is a key element in a mixed reality environment. However, conventional locking mechanisms restrict potential tasks or the support of non-owners, thus increasing the working time because of waiting to avoid conflicts. Herein, we propose an adaptive concurrency control approach that can reduce conflicts and work time. We classify shared object manipulation in mixed reality into detailed goals and tasks. Then, we model the relationships among goal, task, and ownership. As the collaborative work progresses, the proposed system adapts the different concurrency control mechanisms of shared object manipulation according to the modeling of goal–task–ownership. With the proposed concurrency control scheme, users can hold shared objects and move and rotate together in a mixed reality environment similar to real industrial sites. Additionally, this system provides MS Hololens and Myo sensors to recognize inputs from a user and provides results in a mixed reality environment. The proposed method is applied to install an air conditioner as a case study. Experimental results and user studies show that, compared with the conventional approach, the proposed method reduced the number of conflicts, waiting time, and total working time.

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Keywords

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