Non-Linear Analysis and Optimization of Weight and Center of Mass for AR Glasses Wear Comfort

This article investigates the effects of weight and Center of Mass (CoM) of AR glasses on subjective assessment during wearing tasks. Utilizing a modular prototyping system, 100 participants evaluated 20 weight-CoM configurations. To address the limitations of linearized Likert scale data, this study constructed a hybrid analytical framework incorporating Generalized Estimating Equations, Extreme Gradient Boosting (XGBoost) with SHAP explanations, and Polynomial Response Surface Methodology. The results revealed significant non-linear coupling effects of weight and CoM on comfort and established a quantitative engineering mapping model based on ordinal data analysis. Furthermore, SHAP analysis identified dynamic stability and nasal comfort as the two most influential perceptual dimensions, jointly accounting for 79.2% of the total SHAP importance. Accordingly, this study proposes engineering optimization guidelines for AR glasses, providing a quantitative basis for lightweighting and weight-distribution optimization of wearable devices.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-09-25
DOI
https://doi.org/10.1080/10447318.2026.2735637
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
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article

Non-Linear Analysis and Optimization of Weight and Center of Mass for AR Glasses Wear Comfort

Puhong Li, Zhijun Fan, Heshan Liu, Xiao Li et al.
International Journal of Human-Computer Interaction
Ergonomics and Musculoskeletal Disorders
article

Non-Linear Analysis and Optimization of Weight and Center of Mass for AR Glasses Wear Comfort

Puhong Li, Zhijun Fan, Heshan Liu, Xiao Li, Luan Zhang, Chaohong Liu, Xiao Yang, Huachao Zhao, Zhiwei Hu, Shizhan Sun, Hai Jiang, Yupei Zhang, Mengfan Qu
article en

Abstract

This article investigates the effects of weight and Center of Mass (CoM) of AR glasses on subjective assessment during wearing tasks. Utilizing a modular prototyping system, 100 participants evaluated 20 weight-CoM configurations. To address the limitations of linearized Likert scale data, this study constructed a hybrid analytical framework incorporating Generalized Estimating Equations, Extreme Gradient Boosting (XGBoost) with SHAP explanations, and Polynomial Response Surface Methodology. The results revealed significant non-linear coupling effects of weight and CoM on comfort and established a quantitative engineering mapping model based on ordinal data analysis. Furthermore, SHAP analysis identified dynamic stability and nasal comfort as the two most influential perceptual dimensions, jointly accounting for 79.2% of the total SHAP importance. Accordingly, this study proposes engineering optimization guidelines for AR glasses, providing a quantitative basis for lightweighting and weight-distribution optimization of wearable devices.

International Journal of Human-Computer Interaction
Hong Kong Polytechnic University (HK), Qilu University of Technology (CN), Shandong University (CN), GoerTek (China) (CN), Shandong Academy of Sciences (CN)
Openalex Percentile: Top 7%
Ergonomics and Musculoskeletal Disorders
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