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DHM-driven quantitative assessment model of activity posture in space-restricted accommodation cabin

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Abstract

To solve the quantitative problem of sleeping activity posture in space-restricted accommodation cabins, a comprehensive assessment model was constructed with ergonomics simulation technology as well as sleeping activity and behavioral posture. Sleeping behavioral types were integrated and analyzed through observational surveys by combining activity theory and hierarchical task analysis. We constructed digital human models (DHMs) assisted by JACK software and followed the methodology of design constraint extraction and construction, comfort-oriented ergonomic simulation evaluation and inference, and data-driven decision-making. We simulated five phases of sleeping experience and evaluated these crews’ sleeping-related postures (including head, neck, shoulders, elbows, torso, and hips) through seven DHM simulation tools. These simulation assessment data were synthesized using multiple attribute decision-making (MADM) methods (AHP-TOPSIS method vs. GRA-VIKOR method). When exploring the assessment model application on the example of a ship's accommodation cabin, this work shows that alternative S3 is optimal, and the ranking of GRA-VIKOR method is in line with the actual. The evaluation results based on MADM methods are consistent with the analysis of variance test. In summary, DHM-driven quantitative assessment model can be used to realize preferred design decision-making and provide further guidance for manned cabin ergonomics optimization.

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Acknowledgements

We acknowledge that this study was supported by the National key research and development special projects (grant No. 2019YFB1405702) and the Higher Education Discipline Innovation Project (grant No. B13044).

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Correspondence to Jianghao Xiao.

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Appendices

Appendix A: DHM simulation evaluation results

Table 

Table 14 Original DHM simulation evaluation data

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Table 15 Normalized decision matrix of DHM simulation evaluation results

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Table 16 Standardized decision matrix of DHM simulation evaluation results

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Appendix B: Calculation results of AHP-TOPSIS method

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Table 17 Judgment matrix of evaluation index and weight value

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Table 18 The optimal solution (\({Z}^{+}\)) and the worst solution (\({Z}^{-}\))

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Table 19 Euclidean distance between design alternatives

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Appendix C: Calculation results of GRA-VIKOR method

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Table 20 The overall benefit and individual regret values of VIKOR-based vs. GRA-based

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Xiao, J., Yu, S., Chen, D. et al. DHM-driven quantitative assessment model of activity posture in space-restricted accommodation cabin. Multimed Tools Appl 83, 42063–42101 (2024). https://doi.org/10.1007/s11042-023-16842-4

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