Anthropometric mismatch between furniture height and anthropometric measurement: A case study of Korean primary schools

Lee, Yushin; Kim, Yong Min; Lee, Joong Hee; Yun, Myung Hwan

doi:10.1016/j.ergon.2018.08.010

Cited by 16 publications

(8 citation statements)

References 32 publications

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“…Shoulder Height (SH): The vertical distance measured from the horizontal sitting surface to the top of the shoulder at the acromion with the arms hanging without restraint and the shoulders relaxed, in the sitting position with the back and legs angles 90˙ [ 3 , 5 , 12 ].…”

Section: Methodsmentioning

confidence: 99%

“…Knee Height (KH): The vertical distance from the foot resting surface to the top of the knee cap [ 62 ]. The KH is measured just above the patella at a knee flexion angle of 90˙ [ 3 , 10 , 12 ].…”

Section: Methodsmentioning

confidence: 99%

“…A “mismatch” is defined as incompatibility between the classroom furniture dimensions and the students’ anthropometric measures [ 7 ]. The mismatch is evaluated by mismatch equations that define the minimum and maximum limit of the furniture dimensions by using the anthropometric measures [ 12 ]. The mismatch could ultimately result in the development of musculoskeletal disorders within the students like low back pain [ 13 ] and other problems related to the learning process [ 4 ] because of poor classroom sitting posture [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…Prior to the 21 st century, only a few studies had been done on the design of school furniture [ 10 ] but during the last few decades, there has been an increased concern about studies of school furniture and their match or mismatch to student's anthropometric measures [ 15 ]. Mismatches between school furniture dimensions and students' anthropometric measures have been investigated in many countries such as in South Korea [ 12 ], Greece [ 8 , 9 ], Indonesia [ 15 ], Portugal [ 14 , 16 ], United States of America [ 7 ], Palestine [ 10 ], Bangladesh [ 17 ], India [ 18 ], Chile [ 5 , 13 , 19 , 20 ], and Iran [ 21 , 22 ]. Table 1 shows the research goal and used techniques of mismatch studies in different countries.…”

Section: Introductionmentioning

confidence: 99%

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Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

et al. 2020

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The mismatch between students’ anthropometric measures and school furniture dimensions have been investigated in many countries. In Iran, collegians spend at least a quarter of the day hours at university in the sitting position, so it is essential to evaluate furniture mismatch among university students. In Iranian universities, the use of chairs with an attached table is widespread, while the study of mismatches in these chairs among the collegian community is rare. This study was aimed to compare and rank different classroom furniture types based on the mismatch between collegians’ anthropometric measures and the dimensions of classroom furniture among Industrial Engineering students by developing a Multi-Criteria Decision Making approach in an integrated Methodology. The sample consisted of 111 participants (71 males, 40 females). Ten anthropometric measures were gathered, together with eight furniture dimensions for four types of chairs. Mismatch analyses were carried out using mismatch equations, and the Simple Additive Weighting method was used as a base method to solve the decision-making problem. The results indicated that Underneath Desk Height and Seat to Desk Clearance showed the highest levels of the match, while Seat Width presents the highest levels of low mismatch. According to the results, Type 1 and Type 3 were the best current classroom furniture. The Sensitivity Analysis was performed in two ways: changing the weights of criteria in nine scenarios and comparing the results with five other MCDM methods. The proposed MCDM approach can be used widely in furniture procurement processes and educational environments.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

et al. 2020

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“…This study used Excel 2016 and SPSS25.0 to analyze the data. In addition, the greedy algorithm approach, which was utilized by Lee and Kim [45] to find the optimal height system for the chairs and desks of Korean students, was applied to derive the optimal specifications for the target design variables, and R programming was used to implement the greedy algorithm to calculate the optimal specifications of the console. The greedy algorithm approach is simple and primitive as it finds the maximum match rate of a specification by substituting the anthropometric dimension of each user in the mismatch equation and incrementing it by 1 mm sequentially for all possible specifications.…”

Section: Data Treatmentmentioning

confidence: 99%

Data-Driven Design Solution of a Mismatch Problem between the Specifications of the Multi-Function Console in a Jangbogo Class Submarine and the Anthropometric Dimensions of South Koreans Users

et al. 2020

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The naval multi-function console provides various types of information to the operator. It is equipment that is key for submarine navigation, and fatal human errors can occur due to the mismatch between the console specifications and the operator’s body size. This study proposes a method for deriving console specifications suitable for the body size of Korean users. The seat height, seat width, seat depth, upper edge of backrest, and worktable height were selected as the target design variables. Using six anthropometric dimensions, a mismatch equation for each target design variable was developed. Anthropometric measures of 2027 Korean males were obtained, and the optimal specifications of the console were derived via an algorithmic approach. As a result, the match rate, considering all the target design variables, was improved from 2.57% to 76.96%. In previous studies and standards, the optimal console specifications were suggested based on the anthropometric data of a specific percentile of users, and it was impossible to quantitatively confirm the suitability of the console design for the target users. However, the method used in this study calculated the match rate using the mismatch equation devised for comfortable use of the console and a large amount of anthropometric data that represented the user population, and therefore the improvement effect of the recommended specification can be directly identified when compared to the current specifications. Moreover, the methodology and results of this study could be used for deciding the specifications of multi-function consoles in several fields, including nuclear power plants or disaster situation rooms.

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Application of anthropometric data for elderly-friendly home and facility design in Thailand

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Sirisawasd

Norkaew

et al. 2020

International Journal of Industrial Ergonomics

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Anthropometric mismatch between furniture height and anthropometric measurement: A case study of Korean primary schools

Cited by 16 publications

References 32 publications

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

Data-Driven Design Solution of a Mismatch Problem between the Specifications of the Multi-Function Console in a Jangbogo Class Submarine and the Anthropometric Dimensions of South Koreans Users

Application of anthropometric data for elderly-friendly home and facility design in Thailand

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