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Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students

Anik Kumar Saha, Md Abrar Jahin, Md. Rafiquzzaman, M. F. Mridha

TL;DR

The proposed anthropometric-based furniture dimensions that are suitable for university students to improve computer laboratory ergonomics are suggested and can improve comfort levels, reducing the risk of musculoskeletal disorders among students.

Abstract

Many studies have shown how ergonomically designed furniture improves productivity and well-being. As computers have become a part of students' academic lives, they will grow further in the future. We propose anthropometric-based furniture dimensions suitable for university students to improve computer laboratory ergonomics. We collected data from 380 participants and analyzed 11 anthropometric measurements, correlating them to 11 furniture dimensions. Two types of furniture were studied: a non-adjustable chair with a non-adjustable table and an adjustable chair with a non-adjustable table. The mismatch calculation showed a significant difference between furniture dimensions and anthropometric measurements. The one-way ANOVA test with a significance level of 5% also showed a significant difference between proposed and existing furniture dimensions. The proposed dimensions were found to be more compatible and reduced mismatch percentages for both males and females compared to existing furniture. The proposed dimensions of the furniture set with adjustable seat height showed slightly improved results compared to the non-adjustable furniture set. This suggests that the proposed dimensions can improve comfort levels and reduce the risk of musculoskeletal disorders among students. Further studies on the implementation and long-term effects of these proposed dimensions in real-world computer laboratory settings are recommended.

Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students

TL;DR

The proposed anthropometric-based furniture dimensions that are suitable for university students to improve computer laboratory ergonomics are suggested and can improve comfort levels, reducing the risk of musculoskeletal disorders among students.

Abstract

Many studies have shown how ergonomically designed furniture improves productivity and well-being. As computers have become a part of students' academic lives, they will grow further in the future. We propose anthropometric-based furniture dimensions suitable for university students to improve computer laboratory ergonomics. We collected data from 380 participants and analyzed 11 anthropometric measurements, correlating them to 11 furniture dimensions. Two types of furniture were studied: a non-adjustable chair with a non-adjustable table and an adjustable chair with a non-adjustable table. The mismatch calculation showed a significant difference between furniture dimensions and anthropometric measurements. The one-way ANOVA test with a significance level of 5% also showed a significant difference between proposed and existing furniture dimensions. The proposed dimensions were found to be more compatible and reduced mismatch percentages for both males and females compared to existing furniture. The proposed dimensions of the furniture set with adjustable seat height showed slightly improved results compared to the non-adjustable furniture set. This suggests that the proposed dimensions can improve comfort levels and reduce the risk of musculoskeletal disorders among students. Further studies on the implementation and long-term effects of these proposed dimensions in real-world computer laboratory settings are recommended.
Paper Structure (21 sections, 12 equations, 5 figures, 9 tables)

This paper contains 21 sections, 12 equations, 5 figures, 9 tables.

Table of Contents

  1. Introduction
  2. Literature Review
  3. Materials and Methods
  4. Problem Identification
  5. Sample Collection
  6. Anthropometric Measurements
  7. Furniture Dimensions
  8. Furniture Dimensions and Anthropometric Data Mismatch
  9. Level of Compatibility
  10. Software and Statistical Tools
  11. Results
  12. Analysis of Anthropometric Measurements
  13. Assessment of Intra- and Inter-Class Reliability
  14. Analysis of Existing Furniture Dimensions
  15. Mismatch Analysis
  16. ...and 6 more sections

Figures (5)

  • Figure 1: Anthropometry of the participants, (a) right-side view (on the left), (b) backside view (on the right).
  • Figure 2: Furniture’s measurement: (a) Left-side view and (b) Top view.
  • Figure 3: Two types of furniture set, (a) Table with adjustable chair, (b) Table with non-adjustable chair.
  • Figure 4: Proposed dimensions for both types of chairs (in mm): (a) adjustable chair, (b) non-adjustable chair.
  • Figure B.1: Anthropometric data showing normality (a bell-shaped curve) in the case of both (a) male and (b) female distributions.