A human-centered framework for data-driven anthropometric sizing: design and validation in a military context.

Kuo-Wei Su; Yao-Te Tsai; Kuan-Ying Chen

doi:10.1080/00140139.2026.2663059

May 3, 2026

A human-centered framework for data-driven anthropometric sizing: design and validation in a military context.

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Key Points

To develop and validate a framework for creating user-accepted personalized fitting systems in military and resource-constrained environments.
Developed a human-centered framework for anthropometric sizing.
Validated the framework in a military context with user feedback.
Designed fitting systems focusing on personalization and user acceptance.
The framework led to a significant increase in user satisfaction with fitting systems.
User-accepted systems showed improved fit metrics measured against traditional methods.
Demonstrated applicability of the framework across diverse military personnel.

Implication

Validates a framework for personalized fitting systems in military contexts, highlighting user acceptance.

Abstract

< .001). The primary contribution of this study is a generalisable framework for developing user-accepted personalised fitting systems in resource-constrained settings.

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Cite This Study

Su et al. (2026) studied this question.

synapsesocial.com/papers/69f9890415588823dae17fa7 https://doi.org/10.1080/00140139.2026.2663059

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A human-centered framework for data-driven anthropometric sizing: design and validation in a military context.

Key Points

Implication

Abstract

Discussion

Cite This Study

A human-centered framework for data-driven anthropometric sizing: design and validation in a military context.

Key Points

Implication

Abstract

Discussion

Cite This Study

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