AR Helmet Interface Interaction Design for Mine Rescue Based on Error Cognition Models

LI Xiangzhou, REN Jiawei

Packaging Engineering ›› 2024, Vol. 45 ›› Issue (16) : 463-470.

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PDF(1257 KB)
Packaging Engineering ›› 2024, Vol. 45 ›› Issue (16) : 463-470. DOI: 10.19554/j.cnki.1001-3563.2024.16.051

AR Helmet Interface Interaction Design for Mine Rescue Based on Error Cognition Models

  • LI Xiangzhou1, REN Jiawei2
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Abstract

The work aims to reduce operational errors and improve the effectiveness of mine rescue operations. Based on the error cognition theory, visual cognitive behaviors associated with different types of information in rescue tasks were analyzed. By examining the four cognitive processing stages, error factors specific to mine rescue scenarios were identified. Error factor cognitive simulation experiments were conducted with AR interactive information in mine rescue settings to determine the design elements that were particularly influential for AR helmet interfaces in these scenarios. Based on the experimental results, information design for the AR helmet interface is developed to output the preliminary interactive design scheme, so as to reduce cognitive difficulty, enhance response speed and accuracy, and ensure that the system effectively lowers the task failure rate.

Key words

AR helmet; mine rescue; error cognition model; physiological reaction experiment; interface interaction

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LI Xiangzhou, REN Jiawei. AR Helmet Interface Interaction Design for Mine Rescue Based on Error Cognition Models[J]. Packaging Engineering. 2024, 45(16): 463-470 https://doi.org/10.19554/j.cnki.1001-3563.2024.16.051
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