Applied Mathematics and Nonlinear Sciences (Jan 2024)

Interactive experience of information visualization in mechanical design

  • Chen Ran,
  • Xie Jun,
  • Guo Song

DOI
https://doi.org/10.2478/amns.2023.1.00340
Journal volume & issue
Vol. 9, no. 1

Abstract

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Information visualization is a new area of research in mechanical design, and user subjective satisfaction can be improved by experiencing visual interactions. With this as a starting point, this paper introduces a visualization layout algorithm and establishes an information visualization model to calculate the interaction experience of information visualization in mechanical design. Firstly, the layout algorithm in visualization is positioned in two-dimensional or three-dimensional space, and the gravitational repulsion is applied to the nodes in the space based on Coulomb’s law. Then the number of nodes of the graph in space is input, and their mutual repulsive forces are calculated in each iteration. Finally, the average entropy of the forces in the space is used, the obtained fusion weights are calculated according to the extreme value nature of entropy, and the results of their calculation are fused into the mechanical design, citing the service robot for visualizing the interactive experience. The experimental results show that the comfortable speed of the user in view 1 is 1.1m/s, 1.0m/s and 0.9m/s for robots with heights of 700mm, 1000mm, and 1600mm, respectively, and the comfortable speed of the user in view 3 is 1.0m/s, 0.9m/s, and 0.9m/s, and the comfortable speed of view 3 is better than that of view 1. It indicates that the test of users’ subjective satisfaction can be added to the information visualization interaction experience of mechanical design, and the information visualization interaction is verified by subjective satisfaction to provide effective comparison data for mechanical visualization interaction.

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