Cognitive load evaluation of outfitting AR visual information

Yifan Wang; Xuyue Yin; Xu Yang; Xiaomeng Luo; Xiumin Fan

doi:10.1117/12.3055017

4 November 2024 Cognitive load evaluation of outfitting AR visual information

Yifan Wang, Xuyue Yin, Xu Yang, Xiaomeng Luo, Xiumin Fan

Proceedings Volume 13420, Third International Conference on New Materials, Machinery, and Vehicle Engineering (NMMVE 2024); 134201C (2024) https://doi.org/10.1117/12.3055017
Event: International Conference on New Materials, Machinery, and Vehicle Engineering 2024, 2024, Dalian, China

Abstract

To align with the new era trend of paperless and intelligent outfitting in the ship-building industry and enhance the digital level of shipyard manufacturing, Augmented Reality (AR) is being increasingly applied in large-scale production processes. However, when designing AR visualization schemes, human factors are often overlooked. To better assess the mental impact on users, a method for evaluating AR visualization schemes based on the Cognitive Load Theory is proposed. First, we introduce several indexes for assessing cognitive load. Then, we construct a cognitive load assessment model based on the indexes. Finally, we design a validation experiment and verify the effectiveness of the evaluation model by collecting users' subjective evaluation data.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yifan Wang, Xuyue Yin, Xu Yang, Xiaomeng Luo, and Xiumin Fan "Cognitive load evaluation of outfitting AR visual information", Proc. SPIE 13420, Third International Conference on New Materials, Machinery, and Vehicle Engineering (NMMVE 2024), 134201C (4 November 2024); https://doi.org/10.1117/12.3055017

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