A User-Oriented Design for Intuitive Man-Machine Interaction in Cell Micromanipulation

• Published in: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) pp. 1 - 8
• Main Authors: Pu, Tanhong, Wang, Tiexin, Li, Haoyu, Yu, Jiawei, Yang, Liangjing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.08.2023
• Subjects: Automation; Computer aided software engineering; Human-machine systems; Micromanipulators; Task analysis; Three-dimensional displays
• ISSN: 2161-8089
• DOI: 10.1109/CASE56687.2023.10260552

In this study, a user-oriented cell micromanipulator system is proposed for realizing more efficient interactions and improving automated cell operations. The system not only realizes flexible multi-axis control, but also implements the mixed reality-based interaction method (MRIM), including various cell interaction methods, which can increase the efficiency and intuitiveness while ensuring the accuracy of the operations. In the experimental evaluation, we analyze the operation time of MRIM, in comparison to traditional keyboard-based interaction methods (KIM) and cursor-based interaction methods (CIM), to perform cell interaction tasks in 3D space and the accuracy of moving along specific 2D paths. Results show that the MRIM requires the least learning effort according to the rate of diminishing operation time required over the number of attempts completed. Once operators become familiar with the task, MRIM exhibits the shortest average operation time of 15.5 s. Furthermore, the observed accuracy of MRIM, with an average error of 1.53 μm. and an average time of 22.9 s, is comparable to CIM and superior to KIM.