Analysis of Visual Sensibility Evaluation of Naturally Colored Organic Cotton

Jangwoon Park,Yoon Chang,Wongi Hong,Myungeun Lee,Ahreum Han,Youngjoo Chae,Gilsoo Cho,Heecheon You 대한인간공학회 2011 大韓人間工學會誌 Vol.30 No.2

Objective: The present study was intended to identify (1) the intra- and inter-rater reliabilities of a visual sensibility evaluation protocol and (2) the effects of NaCOC color and scouring method on the visual sensibility of NaCOC. Thirty female participants(20s & 30s) were participated in the visual sensibility evaluation of NaCOC. Background: Interests in naturally colored organic cotton(NaCOC) increase rapidly in parallel with the social trend of eco-friendly living and wellbeing. Method: Three color sets (ivory, green, and coyote-brown) of NaCOC specimens including one untreated and four treated specimens(Na₂CO₃; NaOH; enzyme; boiling water) were examined in the study. The visual sensibility evaluation was conducted by the test-retest method using nine pairs of bipolar visual sensibility adjectives(bright-dark; clear-murky; heavy-light; vivid-subdued; warm-cool; fresh-stale; strong-weak; showy-plain; and luxurious-cheap). Results: As a result of reliability of a visual sensibility evaluation protocol, inter-rater variability(average SD=1.06) of visual sensibility evaluation was more than 1.4 times the intra-rater variability(average SD=0.74). However, both the sensibility evaluation reliabilities did not show any systematic pattern of changes. Lastly, ANOVA and post-hoc analysis showed that preferred scouring methods for a visual sensibility adjective pair significantly vary depending on NaCOC color. Application: Both the reliability of visual sensibility evaluation protocol and the analysis of proper scoring method of NaCOC in the study would be useful information to design the affective textile.

Statistical Geometric Models of a Driver’s Hip & Eye Location and Sitting Strategies of Driving Postures

Jangwoon Park,Younggeun Choi,Baekhee Lee,Kihyo Jung,Sungjin Sah,Heecheon You 대한인간공학회 2012 대한인간공학회 학술대회논문집 Vol.2012 No.11

Objective: The present study is intended to develop statistical geometric models (SGMs) which predict a driver’s hip & eye location (HL & EL) and to identify sitting strategies which statistically represent various characteristics of preferred driving postures. Background: Although the previous researches have developed HL & EL prediction models and identified sitting strategies, the existing HL & EL prediction models have a limitation in terms of prediction accuracy and the analysis method of sitting strategies was not objective and the effect of driver’s gender/occupant package layout (OPL) to the sitting strategy has not been clearly analyzed. Method: 40 drivers’ preferred driving postures in 3 different OPL conditions (coupe, sedan, SUV) were measured by a motion capture system and the measured data were synchronized with RAMSIS humanoid which can extract the driving postures, HL & EL information of the participants. SGMs were developed by multiple regression analysis of geometric equations for driver’s posture variables, anthropometric variables and HL & EL. Siting strategies were identified by cluster analysis of participants’ preferred driving postures. Results: An adj. R² of the developed SGMs was increased by 1.6 times in average and RMSE was decreased by 15% in average comparing with the existing Reed et al. (2002)’s models. Sitting strategies were identified as erect (33% of drivers were preferred), slouched (41%), and reclined postures (26%) and the number of participants who preferred erect posture, female drivers was significantly more than twice that of male drivers. Conclusion: SGMs which can accurately predict a driver’s HL & EL were developed and sitting strategies which can statistically represent drivers’ preferred postures were identified. Application: Both the developed SMGs and identified sitting strategies would be of use as considerable information in ergonomic design/evaluation of automobile interior layout.

미국 텍사스 주립대학

Jangwoon Park,Byung Cheol (Bruce) Lee,Anjin Chang,Jinha Jung,Junho Yeom,Dugan Um 대한산업공학회 2017 ie 매거진 Vol.24 No.2

A Classification of Sitting Strategies based on Driving Posture Analysis

Jangwoon Park,Younggeun Choi,Baekhee Lee,Kihyo Jung,Sungjin Sah,Heecheon You 대한인간공학회 2014 大韓人間工學會誌 Vol.33 No.2

Objective: The present study is intended to objectively classify upper- & lower-body sitting strategies and identify the effects of gender and OPL type on the sitting strategies. Background: A sitting strategy which statistically represents comfortable driving posture can be used as a reference posture of a humanoid in virtual design and evaluation of a driver"s seat. Although previous research has classified sitting strategies for driving postures in various occupant package layout (OPL) types, the existing classification methods are not objective and the factors affecting sitting strategies have not been identified. Method: Forty drivers" preferred driving postures in three different OPL types (coupe, sedan, and SUV) were measured by a motion capture system. Next, the measured driving postures were classified by K-means cluster method. Results: Sitting strategies of upper-body were classified as erect (33%), slouched (41%), and reclined (26%) postures, and those of lower-body were classified as knee bent (42%), knee extended (32%), and upper-leg lifted (26%) postures. Significant differences at α = 0.05 in the upper-body sitting strategy by gender and lowerbody sitting strategy by OPL type were found. Application: Both the classified sitting strategies and the identified factors would be of use in ergonomic seat design and evaluation.

Development of statistical geometric models for prediction of a driver's hip and eye locations

Park, Jangwoon,Jung, Kihyo,Lee, Baekhee,Choi, Younggeun,Yang, Xiaopeng,Lee, Seunghoon,You, Heecheon Elsevier 2019 International journal of industrial ergonomics Vol.72 No.-

<P><B>Abstract</B></P> <P>The Society of Automotive Engineers (SAE) J1517 and J941 models of a driver-selected seat position and a driver's eye location mainly rely on their statistical linear relationships with seat configuration and package variables. Although the SAE models are useful for vehicle interior design, their prediction performance was not provided. The present study was intended to develop accurate prediction models of a driver's hip location (HL) and eye location (EL) based on their statistical geometric relationships with anthropometric dimensions and driving postures. A driving simulation experiment was conducted with 40 Korean drivers (20 males and 20 females) in a seating buck reconfigurable to various package conditions. The anthropometric measurements, HLs, ELs, and joint angles of the participants were collected using an anthropometer, a motion capture system, and a digital human model simulation program. Two types (full model and simplified model) of statistical geometric models (SGMs) for HL and EL prediction were developed by multiple regression analysis of the anthropometric measurements and driving postures on the HLs and ELs. The average adjusted <I>R</I> <SUP>2</SUP> and RMSE of the SGMs were .82 (± .06) and 25.7 (±3.3) mm, respectively. The SGMs showed accurate and stable prediction performance because the SGMs additionally incorporated the geometric relationships of HL and EL with anthropometric dimensions and joint angles. The SGMs would be useful to predict the HLs and ELs of drivers with various body sizes and joint angles in occupant packaging.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The present study developed models for predicting a driver's hip and eye locations. </LI> <LI> The relationships between joint locations, body sizes, and angles were quantified. </LI> <LI> The average adj. <I>R</I> <SUP>2</SUP> and RMSE of the models were .82 (± .06) and 25.7 (±3.3) mm. </LI> <LI> The developed models are of use to predict the hip and eye locations of population. </LI> </UL> </P>

Development of an ergonomic evaluation protocol for a bus seat

Jangwoon Park,Younggeun Choi,Hyewon Lee,Kwangae Park,Moonjin Kim,Heecheon You 대한인간공학회 2013 대한인간공학회 학술대회논문집 Vol.2013 No.5

Objective: 본 연구는 버스 승객석 평가에 특화된 체계적이고 종합적인 인간공학적 평가 protocol을 개발하는 것이다. Background: 버스 승객석에 대한 인간공학적 설계를 위해 체계적인 평가 체계가 필요하나 버스 승객석 평가에 특화된 protocol 개발에 대한 연구는 미흡한 실정이다. Method: 버스 승객석 평가 설문지는 평가자들이 기존 버스 승객석들을 종합적으로 비교 평가할 수 있도록 승차자의 3가지 tasks(착석, 업무, 취침), 평가 대상 버스 승객석의 12가지 설계 부위(예: 안전벨트, 팔걸이, 머리지지부, 등받이, 좌면), 그리고 17가지 인간공학적 평가기준(예: 크기 적절성, 형태 적합성, 쿠션감) 간의 연관성을 바탕으로 체계적으로 개발되었다. 실험 참여자들은 모집단의 인체크기분포를 고려해 통계적으로 적합하게 대표하는 인원으로 모집되었으며, 평가환경은 버스 승객석 공간과 유사하게 버스 승객석들을 2열로 배치되었다. 개발된 버스 승객석 평가 protocol은 기존 12종 버스 승객석들의 비교 평가에 활용되었다. Results: 본 연구에서 개발된 버스 승객석 protocol을 통해 버스 승객석에 대한 설계 부위별 선호 특성들이 파악되었다. Conclusion: 버스 승객석 평가에 특화된 인간공학적 평가 protocol이 개발되었으며, 개발된 평가 protocol은 신규 승객석 형상 설계를 위한 기초자료 수집에 활용되었다. Application: 본 연구진은 분석된 선호 설계 특성을 바탕으로 양산형 신규 버스 승객석 설계 및 제작 중에 있다.

버스 승객석의 인간공학적 평가 방법 개발

박장운(Jangwoon Park),이혜원(Hyewon Lee),최영근(Younggeun Choi),박광애(Kwangae Park),김문진(Moonjin Kim),유희천(Heecheon You) 대한산업공학회 2015 대한산업공학회지 Vol.41 No.1

A bus seat is required to be ergonomically designed in terms of its shape and physical properties to increase seating comfort. The present study is intended to develop a systematic bus seat evaluation protocol based on seating comfort. A total of 48 participants evaluated 12 parts (seat belt, recliner, armrest, headrest, upper-back support, lumbar support, seatback bolster, seatback overall, hip support, thigh support, seatpan bolster, and seatpan overall) of 12 bus seats with 17 subjective comfort measures (e.g., convenience of control, suitability of size, and overall comfort). Lastly, ergonomic features of shape and physical properties of each seat part were identified based on the subject evaluation analysis results. The developed bus seat evaluation protocol can be applied to evaluate various types of seats.

Digital Human Model Simulation을 위한 RAMSIS 추정 운전자세의 정합성 평가 및 개선

박장운(Jangwoon Park),정기효(Kihyo Jung),장준호(Joonho Chang),권정웅(Jeongung Kwon),유희천(Heecheon You) 대한산업공학회 2010 산업공학 Vol.23 No.2

For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as RAMSIS<SUP>®</SUP>, the postures of humanoids for designated tasks need to be predicted accurately. The present study (1) evaluated the accuracy of driving postures of humanoids predicted by RAMSIS, (2) proposed a method to improve its accuracy, and (3) examined the effectiveness of the proposed method. The driving postures of 12 participants in a seating buck were measured by a motion capture system and compared with their corresponding postures predicted by RAMSIS. Significant discrepancies (8.7° to 74.9°) between predicted and measured postures were observed for different body parts and driving tasks. Two methods (constraints addition and user-defined posture) were proposed and their effects on posture estimation accuracy were examined. Of the two proposed methods, the user-defined posture method was found preferred, reducing posture estimation errors by 11.5% to 84.9%. Both the posture prediction accuracy assessment protocol and user-defined posture method would be of use for practitioners to improve the accuracy of predicted postures of humanoids in virtual environments.

방폭패널을 이용한 내부폭발에 대한 진동발생 저감 효과 분석

박상우(Park, Sangwoo),김국주(Kim, Kukjoo),백장운(Baek, Jangwoon),박영준(Park, Young-Jun) 대한건축학회 2020 대한건축학회 학술발표대회 논문집 Vol.40 No.2

내성적/외향적 남성들의 대화 특성 분석

박장운(Jangwoon Park),엄두간(Dugan Um),이시내(Sinae Lee),박재현(Jaehyun Park),김정윤(Jungyoon Kim) 대한인간공학회 2019 대한인간공학회 학술대회논문집 Vol.2019 No.5