Methods to conduct large-scale anthropometric studies to capture civilian measurements are inefficient and expensive. Industrial engineering principles were applied to improve the data capture process to build comprehensive datasets. The goal was to transform the raw materials (the participant) into a tangible product (anthropometric data) with minimal waste (time, equipment, and space). Traditional elements of an anthropometric study were evaluated based on how the study was conducted. Developed methods were applied to a study capturing scans of 398 participants over 7 days. Participants continually flowed through the study stations and completed it in 23.09 min on average. The study cost $34.18 per participant, compared to a traditional anthropometric study cost of $46.95 per participant. The results present the value of applying industrial engineering principles to anthropometric study design to improve the quality and accessibility of data used for human factors analyses and product design.
|Original language||English (US)|
|Title of host publication||Advances in Industrial Design - Proceedings of the AHFE 2020 Virtual Conferences on Design for Inclusion, Affective and Pleasurable Design, Interdisciplinary Practice in Industrial Design, Kansei Engineering, and Human Factors for Apparel and Textile Engineering|
|Editors||Giuseppe Di Bucchianico, Cliff Sungsoo Shin, Scott Shim, Shuichi Fukuda, Gianni Montagna, Cristina Carvalho|
|Number of pages||8|
|State||Published - 2020|
|Event||AHFE Virtual Conference on Design for Inclusion, the Virtual Conference on Interdisciplinary Practice in Industrial Design, the Virtual Conference on Affective and Pleasurable Design, the Virtual Conference on Kansei Engineering, and the Virtual Conference on Human Factors for Apparel and Textile Engineering, 2020 - San Diego, United States|
Duration: Jul 16 2020 → Jul 20 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||AHFE Virtual Conference on Design for Inclusion, the Virtual Conference on Interdisciplinary Practice in Industrial Design, the Virtual Conference on Affective and Pleasurable Design, the Virtual Conference on Kansei Engineering, and the Virtual Conference on Human Factors for Apparel and Textile Engineering, 2020|
|Period||7/16/20 → 7/20/20|
Bibliographical noteFunding Information:
Research was supported by the Minnesota Agricultural Experiment Station, and the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch under MIN-53-088.
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Human factors
- Industrial engineering