Predicting Anthropometric Dimensions Aimed at Ergonomic Design of Mounted Desktop Chairs for Thai University Students
Article Sidebar
Main Article Content
Abstract
While mounted desktop chairs have gained popularity in Thai universities for their space-saving features and affordability, many users experience discomfort and fatigue due to inconvenient adjustments or limited mobility. Addressing these concerns through improved ergonomic design can enhance user experience and make these chairs even more valuable additions to educational environments. However, achieving ergonomic design in these chairs can present challenges as acquiring accurate anthropometric measurements proves to be difficult, time-consuming, and costly. Therefore, this study applies forward stepwise regression analysis to estimate anthropometric dimensions needed for the chair design. The sample involved 857 students (430 females and 427 males) with ages ranging from 18 to 25 years old. Nineteen anthropometric measurements were collected.
The data analysis results suggest two sets of linear regression models for predicting all anthropometric measurements needed by two sets of easy to measure inputs: {Stature, Body Mass Index} and {Forearm-fingertip length, Waist circumference}. All R2-values are greater than 70%. The predicted results obtained by proposed models were confirmed by actual anthropometry data which yielded P-values of paired sample t-tests for all outputs greater than 0.05. Moreover, new criteria determinants for some chairs’ dimensions and a recommended size are proposed.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Agha, S. R., & Alnahhal, M. J. (2012). Neural network and multiple linear regression to predict school children dimensions for ergonomic school furniture design. Applied Ergonomics, 43(6), 979-984.
Al-Haboubi, M. H. (1992). Anthropometry for a mix of different populations. Applied Ergonomics, 23(3), 191-196.
Al-Hinai, N., Al-Kindi, M., & Shamsuzzoha, A. (2018). An ergonomic student chair design and engineering for classroom environment. International Journal of Mechanical Engineering and Robotics Research, 7(5), 534-543.
Altaboli, A., Muttardi, R., Alahmar, H., Aliskandarani H., & Alshaikhi, A. (2023). Anthropometric Evaluation of University Classroom Furniture.
Ansari, S., Nikpay, A., & Varmazyar, S. (2018). Design and development of an ergonomic chair for students in educational settings. Health scope, 7(4).
Bettencourt, C. M., & Jacobs, K. (1995). Ergonomics for Therapists. Butterworth-Heinemann.
Brewer, J. M., Davis, K. G., Dunning, K. K., & Succop, P. A. (2009). Does ergonomic mismatch at school impact pain in school children? Work-a Journal of Prevention Assessment & Rehabilitation, 34(4), 455-464.
Castellucci, H. I., Arezes, P. M., & Molenbroek, J. F. M. (2015). Analysis of the most relevant anthropometric dimensions for school furniture selection based on a study with students from one Chilean region. Applied Ergonomics, 46, 201-211.
Chaffin, D. B., Andersson, G. B., & Martin, B. (1991). Occupational Biomechanics, John Wiley & Sons. Inc, New York.
Chao, W.-C., & Wang, E. M.-y. (2010). An approach to estimate body dimensions through constant body ratio benchmarks. Applied Ergonomics, 42(1), 122-130.
Esmaeel, A., Starovoytova, D., Maube, O., & Asad, R. (2020). Design of Classroom Furniture for Use at Tertiary Institutions.
Evans, W., Courtney, A., & Fok, K. (1988). The design of school furniture for Hong Kong schoolchildren: An anthropometric case study. Applied Ergonomics, 19(2), 122-134.
Huang, M., Hajizadeh, K., Gibson, I., & Lee, T. (2016). The influence of various seat design parameters: a computational analysis. Human Factors and Ergonomics in Manufacturing & Service Industries, 26(3), 356-366.
Igbokwe, J., Osueke, G., Opara, U., Ileagu, M., & Ezeakaibeya, K. (2019). Considerations of anthropometrics in the design of lecture hall furniture. Int. J. Res.-Granthaalayah, 7(8), 374-386.
Ismaila, S., Akanbi, O., & Ngassa, C. (2014). Models for estimating the anthropometric dimensions using standing height for furniture design. Journal of Engineering, Design and Technology, 12(3), 336-347.
Ismaila, S., Musa, A., Adejuyigbe, S., & Akinyemi, O. (2013). Anthropometric design of furniture for use in tertiary institutions in Abeokuta, South-Western Nigeria. Engineering Review, 33(3), 179-192.
ISO, I. (2017). 7250-1: Basic human body measurements for technological design-Part 1: Body measurement definitions and landmarks. International Organization for Standardization, Geneva, Switzerland.
Jeong, B. Y., & Park, K. S. (1990). Sex differences in anthropometry for school furniture design. Ergonomics, 33(12), 1511-1521.
Kaya, M. D., Hasiloglu, A. S., Bayramoglu, M., Yesilyurt, H., & Ozok, A. F. (2003). A new approach to estimate anthropometric measurements by adaptive neuro-fuzzy inference system. International Journal of Industrial Ergonomics, 32(2), 105-114.
Khoshabi, P., Nejati, E., Ahmadi, S. F., Chegini, A., Makui, A., & Ghousi, R. (2020). Developing a Multi-Criteria Decision-Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students. PloS one, 15(9), e0239297.
Langová, N., Blašková, S., Gáborík, J., Lizoňová, D., & Jurek, A. (2021). Mismatch Between the Anthropometric Parameters and Classroom Furniture in The Slovak Primary Schools. Acta Facultatis Xylologiae Zvolen res Publica Slovaca, 63(1), 131-142.
Lueder, R., & Allie, P. (1999). Chairs with armrests: Ergonomic design issues. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
Lu, C.-W., & Lu, J.-M. (2017). Evaluation of the Indonesian National Standard for elementary school furniture based on children's anthropometry. Applied Ergonomics, 62, 168-181.
Montgomery, D. C., & Runger, G. C. (2010). Applied statistics and probability for engineers. John wiley & sons.
Mokdad, M., & Al-Ansari, M. (2009). Anthropometrics for the design of Bahraini school furniture. International Journal of Industrial Ergonomics, 39(5), 728-735.
Obinna, F. P., Sunday, A. A., & Babatunde, O. (2021). Ergonomic assessment and health implications of classroom furniture designs in secondary schools: a case study. Theoretical Issues in Ergonomics Science, 22(1), 1-14.
Openshaw, S., & Taylor, E. (2006). Ergonomics and design a reference guide. Allsteel Inc., Muscatine, Iowa.
Oyewole, S. A., Haight, J. M., & Freivalds, A. (2010). The ergonomic design of classroom furniture/computer work station for first graders in the elementary school. International Journal of Industrial Ergonomics, 40(4), 437-447.
Roebuck, J. A., Kroemer, K. H. E., & Thomson, W. G. (1975). Engineering Anthropometry Methods. Wiley.
Sahabo, M., & Kabara, A. (2023). Anthropometrics and Ergonomics of Secondary School Students in Four Yola Metropolis, Adamawa State, Nigeria. Journal of Applied Sciences and Environmental Management, 27(6), 1217-1222.
Salvendy, G. (2012). Handbook of human factors and ergonomics. John Wiley & Sons.
Sejdiu, R., Sylejmani, B., Idrizi, L., Bajraktari, A., & Sejdiu, M. (2023). Discrepancy between pupils’ body and classroom furniture in elementary schools: A case study in the Republic of Kosovo. Work, 75(2), 447-459.
Shohel Parvez, M., Tasnim, N., Talapatra, S., Ruhani, A., & Hoque, A. M. (2022). Assessment of musculoskeletal problems among Bangladeshi University students in relation to classroom and library furniture. Journal of The Institution of Engineers (India): Series C, 1-14.
Taifa, I. W., & Desai, D. A. (2017). Anthropometric measurements for ergonomic design of students’ furniture in India. Engineering Science and Technology, an International Journal, 20(1), 232-239.
Thariq, M. M., Munasinghe, H., & Abeysekara, J. (2010). Designing chairs with mounted desktop for university students: Ergonomics and comfort. International Journal of Industrial Ergonomics, 40(1), 8-18.
Wutthisrisatienkul, T., & Puttapanom, S. (2019). School furniture ergonomic assessment via simplified measurements and regression models. Songklanakarin Journal of Science & Technology, 41(1), 89-95