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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2022. 8. ๋ฐ•์šฐ์ง„.์„ธ๊ณ„๋ณด๊ฑด๊ธฐ๊ตฌ(World Health Organization)์— ๋”ฐ๋ฅด๋ฉด, ๋น„๋งŒ์ด๋ž€ ๊ณผ๋„ํ•˜๊ฒŒ ์‹ ์ฒด์— ์ง€๋ฐฉ์ด ์ถ•์ ๋œ ๋ฌผ๋ฆฌ์  ์ƒํƒœ๋กœ ์ •์˜๋œ๋‹ค. ๋น„๋งŒ์„ ์ •์˜ํ•˜๋Š” ๋ณ€์ˆ˜ ์ค‘ ๋„๋ฆฌ ์“ฐ์ด๋Š” ๊ฒƒ์œผ๋กœ BMI(Body mass index)๊ฐ€ ์žˆ์œผ๋ฉฐ, ์ฒด์ค‘์„ ํ‚ค์˜ ์ œ๊ณฑ์œผ๋กœ ๋‚˜๋ˆˆ ๊ฐ’์œผ๋กœ ๊ณ„์‚ฐ๋œ๋‹ค. BMI๊ฐ€ 30 ์ด์ƒ์ธ ๊ฒฝ์šฐ ๋น„๋งŒ์œผ๋กœ ๋ถ„๋ฅ˜๋˜๊ณ , 35 ์ด์ƒ์ธ ๊ฒฝ์šฐ ๊ณ ๋„๋น„๋งŒ์œผ๋กœ ๋ถ„๋ฅ˜๋œ๋‹ค. ๋น„๋งŒ ์ธ๊ตฌ๋Š” ๋งค๋…„ ์ฆ๊ฐ€ํ•˜๋Š” ์ถ”์„ธ๋กœ, WHO์— ๋”ฐ๋ฅด๋ฉด 2016๋…„ ์„ฑ์ธ ์ค‘ 19์–ต๋ช…์ด ๊ณผ์ฒด์ค‘(BMI 25 ์ด์ƒ 30 ์ดํ•˜)์— ํ•ด๋‹นํ•œ๋‹ค. ์ด ์ค‘ 6์–ต 5์ฒœ๋งŒ๋ช…์ด ๋น„๋งŒ์œผ๋กœ ๋ถ„๋ฅ˜๋˜์–ด, ์ „์ฒด ์„ฑ์ธ ์ค‘ 13%์— ๋‹ฌํ•œ๋‹ค. 2020๋…„ ๊ธฐ์ค€ 5์„ธ ์ดํ•˜์˜ ์•„๋™ 3900๋งŒ๋ช…์ด ๊ณผ์ฒด์ค‘์ด๊ฑฐ๋‚˜ ๋น„๋งŒ์ธ ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜๋ฉฐ, 3์–ต 4์ฒœ๋งŒ๋ช…์˜ ์ฒญ์†Œ๋…„ ์ธ๊ตฌ๋„ ๊ณผ์ฒด์ค‘์ด๊ฑฐ๋‚˜ ๋น„๋งŒ์œผ๋กœ ์ง‘๊ณ„๋˜๊ณ  ์žˆ์–ด ์•ž์œผ๋กœ๋„ ๊ณ„์† ๋น„๋งŒ์ธ๊ตฌ๋Š” ์ฆ๊ฐ€ํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ธก๋˜์—ˆ๋‹ค. ๋น„๋งŒ์ธ๊ตฌ๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋น„๋งŒ์ธ ์ž‘์—…์ž์˜ ๋น„์œจ๋„ ๊พธ์ค€ํžˆ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฒฐ๊ตญ ๋น„๋งŒ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ์ž‘์—…์ž์˜ ๋Šฅ๋ฅ  ๋ฐ ์ง€๊ฐ๋ถˆํŽธ๋„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ ์  ๋” ํ•„์š”ํ•œ ์‹ค์ •์ด๋‹ค. ๋งŽ์€ ์ผ์ƒ ์ƒํ™œ๊ณผ ์ž‘์—…ํ™œ๋™์—์„œ ์ธ๊ฐ„์€ ๊ณ„์†ํ•ด์„œ ์œก์ฒด์  ๊ณผ์—… ๋˜๋Š” ์ž์„ธ๋ฅผ ์œ ์ง€ํ•˜๋Š” ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋น„๋งŒ์ธ๋“ค์ด ์ด๋Ÿฐ ์œก์ฒด์  ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ, ์–ด๋– ํ•œ ์–‘์ƒ์„ ๋ณด์ด๋Š”์ง€์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ธฐ์กด ์ธ๊ฐ„๊ณตํ•™ ์—ฐ๊ตฌ์—์„œ ๋น„๋งŒ ๊ด€๋ จ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ์ž์„ธ ์œ ์ง€๋‚˜ ๊ฑท๊ธฐ ๋“ฑ๊ณผ ๊ฐ™์€ ๊ธฐ์ดˆ์ ์ธ ๊ฒƒ์— ๊ตญํ•œ๋˜์–ด ์žˆ์—ˆ๋‹ค. ์œ„์—์„œ ์–ธ๊ธ‰ํ•œ ์ค‘์š”์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์•„์ง๊นŒ์ง€ ์ผ๋ฐ˜์ ์ธ ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ, ๋น„๋งŒ์ด ์‹ ์ฒด์  ๋Šฅ๋ ฅ ๋ฐ ๋ถˆํŽธ๋„์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•œ ์‹ค์ •์ด๋‹ค. ํŠนํžˆ, ๋ฐœ ๋„๋‹ฌ ์ž‘์—… ๊ฐ™์€ ๊ธฐ๋ณธ์ ์ธ ๋™์ž‘ ๊ฐ™์€ ๊ฒฝ์šฐ์—๋„ ๋น„๋งŒ์˜ ์˜ํ–ฅ์„ ์•Œ์•„๋ณธ ์—ฐ๊ตฌ๋Š” ์ „๋ฌดํ•˜๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋ฐœ ๋„๋‹ฌ ์ž‘์—…์—์„œ ๋น„๋งŒ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•ด ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ ๋ชฉ์ ์˜ ๋‹ฌ์„ฑ์„ ์œ„ํ•ด ํฌ๊ฒŒ 3๊ฐ€์ง€ ์ฃผ์š” ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ 1์—์„œ๋Š” ์•‰์€ ์ž์„ธ์—์„œ ๋ฐœ ๋„๋‹ฌ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ ๋น„๋งŒ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด์„œ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋น„๋งŒ์ธ ๊ทธ๋ฃน๊ณผ ์ผ๋ฐ˜์ธ ๊ทธ๋ฃน์„ ๋ชจ์ง‘ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํƒ€๊ฒŸ์˜ ์œ„์น˜ ๋ฐฐ์น˜์— ๋”ฐ๋ฅธ ๋ฐœ ๋„๋‹ฌ ๋Šฅ๋ ฅ์„ ์•Œ์•„๋ณด์•˜๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ๋น„๋งŒ์ธ ๊ทธ๋ฃน๊ณผ ์ผ๋ฐ˜์ธ ๊ทธ๋ฃน๊ฐ„ ๋ฐ˜์‘ ์‹œ๊ฐ„, ์ด๋™ ์‹œ๊ฐ„, ๊ณผ์—… ์ˆ˜ํ–‰ ์‹œ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ง€๊ฐ๋ถˆํŽธ๋„๋Š” ๋น„๋งŒ์ธ ๊ทธ๋ฃน๊ณผ ์ผ๋ฐ˜์ธ ๊ทธ๋ฃน๊ฐ„ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ์—ฐ๊ตฌ 2์—์„œ๋Š” ์—ฐ๊ตฌ 1์˜ ํ™•์žฅ์œผ๋กœ ์ž์„ธ ์š”์ธ์„ ์ถ”๊ฐ€์ ์œผ๋กœ ๋„ฃ์–ด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ 1์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ, ์ถ”๊ฐ€์ ์ธ ๋น„๋งŒ์ธ ๋ชจ์ง‘์„ ์ˆ˜ํ–‰ํ•œ ํ›„ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๋ถ„์„ ๊ฒฐ๊ณผ, ์„œ ์žˆ๋Š” ์ž์„ธ์—์„œ๋„ ์•‰์€ ์ž์„ธ์™€ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ๋น„๋งŒ์˜ ์˜ํ–ฅ์ด ๋‚˜ํƒ€๋‚จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์•‰์€ ์ž์„ธ์—์„œ ๋จผ ๊ฑฐ๋ฆฌ๋ฅผ ์ด๋™ํ•˜๋Š” ๋ฐœ ๋„๋‹ฌ ๊ณผ์—…์˜ ๊ฒฝ์šฐ, ๋” ๋งŽ์€ ์ด๋™ ์‹œ๊ฐ„์ด ๋ฐœ์ƒํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์•‰์•„ ์žˆ๋Š” ์ž์„ธ์—์„œ ๋ฐœ ๋„๋‹ฌ ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ ์ง€๊ฐ๋ถˆํŽธ๋„๊ฐ€ ๋” ํฐ ๊ฐ’์„ ๋ณด์ž„์„ ๊ด€์ธกํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ 3์—์„œ๋Š” ์—ฐ๊ตฌ1, 2์˜ ๊ฒฐ๊ณผ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์˜ˆ์ธก ๋ฐœ ๋„๋‹ฌ ๊ณผ์—… ๋ฒ”์œ„๋ฅผ ์ œ์•ˆํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ์กด ๋„๋‹ฌ ๋ฒ”์œ„ ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ ๋Œ€๋ถ€๋ถ„ ์†์„ ํ™œ์šฉํ•œ ๋„๋‹ฌ ๋ฒ”์œ„๋ฅผ ์ œ์•ˆํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜๋‹ค. ์ผ๋ถ€ ๋ชจ๋ธ ์ƒ์„ฑ ์—ฐ๊ตฌ์—์„œ ์ตœ์  ๋ฐœ ๋„๋‹ฌ ๋ฒ”์œ„๋ฅผ ์ œ์•ˆํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ์žˆ์—ˆ์ง€๋งŒ, ๋น„๋งŒ๊ณผ ๊ฐ™์€ ์ธ์  ๋ณ€์ˆ˜๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ  ์‹ ์ฒด์น˜์ˆ˜ ๋“ฑ๊ณผ ๊ฐ™์€ ๋ณ€์ˆ˜๋งŒ์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ, ์ธ์  ์š”์ธ์— ๋”ฐ๋ฅธ ์ตœ์  ๋ฐœ ๋„๋‹ฌ ๋ฒ”์œ„๊ฐ’์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•ด ์ˆ˜ํ–‰์‹œ๊ฐ„๊ณผ ๋ถˆํŽธ๋„์— ๋Œ€ํ•œ ๋†’์€์ •ํ™•๋„์˜ ์˜ˆ์ธก์ถ”์ •์‹์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์•‰์€ ์ž์„ธ์ผ ๋•Œ ์ˆ˜์šฉ๋  ์ˆ˜ ์žˆ๋Š” ์ตœ๋Œ€๊ธฐ์ค€๊ฐ’์ด ๋” ์ž‘๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ, ์ด๋ฅผ ๊ณ ๋ คํ•œ ๋ฐœ ๋„๋‹ฌ ์ž‘์—… ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๋น„๋งŒ์ด ๋ฐœ ๋„๋‹ฌ ๊ณผ์—…์—์„œ ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ํ–ฅ์ƒ์‹œ์ผฐ์œผ๋ฉฐ, ๋น„๋งŒ์ธ ์ž‘์—…์ž๋“ค์„ ์œ„ํ•ด ์ตœ์ ์˜ ๋ฐœ ๋„๋‹ฌ ์ž‘์—…์„ ํ•  ์ˆ˜ ์žˆ๋Š” ์ž‘์—…์žฅ ์„ค๊ณ„์— ๋„์›€์ด ๋˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ธฐ์กด ๋ฐœ ๋„๋‹ฌ ์ž‘์—… ๊ด€๋ จ ์ธ๊ฐ„๊ณตํ•™ ๋ถ„์•ผ์— ๋„์›€์ด ๋˜๋Š” ์ง€์‹์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋น„๋งŒ์ด ๋ฐœ ๋„๋‹ฌ ์ž‘์—…์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ ์ˆ˜ ์žˆ๊ฒŒ ๋˜๋ฉฐ, ๋ฐœ ๋„๋‹ฌ ์ž‘์—…์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ฃผ๊ด€์  ๋ถˆํŽธ๋„์— ๋Œ€ํ•œ ์˜ˆ์ธก ๋ชจ๋ธ์„ ์ƒ์„ฑํ•  ๋•Œ ๋น„๋งŒ์š”์ธ๊ณผ ์ž‘์—…์ž์„ธ๋ฅผ ์ ์šฉํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์‹ค์ œ ์‚ฐ์—…ํ˜„์žฅ์—์„œ ๋น„๋งŒ์ธ์„ ์œ„ํ•œ ์ž‘์—… ์„ค๊ณ„๋ฅผ ๋„์™€์ค„ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ถ”ํ›„ ์—ฌ์„ฑ ์ž‘์—…์ž๋“ค์˜ ๋ฐœ๋„๋‹ฌ ์ž‘์—… ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ๋ชจ๋“  ์ž‘์—…์ž๋“ค์— ๋Œ€ํ•œ ๋””์ง€ํ„ธ ํœด๋จผ ๋ชจ๋ธ๋ง์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์„ ๊ธฐ๋Œ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋น„๋งŒ์ธ๋“ค์˜ ๋ถ€์ƒ ๋ฐ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜ ์œ„ํ—˜์„ ์˜ˆ๋ฐฉํ•˜์—ฌ ๊ฒฝ์ œ์  ์ด๋“์„ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‹ค์ œ ๋น„๋งŒ์ธ ์ž‘์—…์ž์˜ ๋Šฅ๋ฅ ์„ ํ–ฅ์ƒ์‹œ์ผœ ์ž‘์—…์ž์˜ ์‚ฌ์šฉ์ž๊ฒฝํ—˜(UX) ๊ฐœ์„ ์— ๋„์›€์ด ๋  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•˜๊ณ  ์žˆ๋‹ค.Obesity is prevalent worldwide and the obese population continues to increase. Therefore, research is needed to find out the impacts of obesity in basic tasks, and, it could help with ergonomic design in the workplace. Existing ergonomic studies have examined the basic physical abilities of obese people, such as walking and balancing. Through an understanding of the physical capabilities of obese individuals, it is possible to design a workplace that is suitable for obese individuals. Foot reach work is a basic movement that occurs frequently in the workplace. In light of the results of ergonomic research related to obesity, it is possible that the foot reach task will exhibit a different result. Despite the importance mentioned above, understanding how obesity impacts physical performance and discomfort rating is still insufficient. Particularly, no studies have been found that have examined the effects of obesity on foot reach. Therefore, this study aims to investigate the impact of obesity on foot reach and develop a method to improve the performance of obese groups. To accomplish the objectives, three major studies were conducted. In the study 1, the impact of obesity was investigated in the foot target reach in a seated position. Task performance and discomfort rating data were analyzed. The differences between the participant groups (non-obese, obese) were compared statistically. It was found that the obese group had a statistical difference from the non-obese group in reaction time, movement time, and task completion time. In terms of discomfort rating, there was no significant difference between the obese and the non-obese group. In the study 2, the impact of obesity in standing posture was investigated as an expanding study of study 1. In the standing position, the movement time decreased, but the reaction time increased. There was no significant interaction effect between participant group and posture factors. Foot reach in a seated position was more uncomfortable. As a result of task performance time analysis, a significant interaction effect between posture and target distance was observed. In the study 3, a study was conducted to propose the prediction model. It describes the possible range of foot reach for workers using the existing prediction model. Task performance time data is used to present an area that optimizes the foot reach task of obese/non-obese workers. It was found that obese people have a smaller foot reach area. The above-mentioned findings investigate the impact of obesity on foot reach task and provide an understanding that helps design workplaces for obese people. Based on the findings from study 1, it was possible to understand how obesity affects foot reach in a seated position. The findings provided in the study 2 would be helpful to provide an understanding of the possible changes in performance in standing posture. The results of study 3 provide inspiration for workplace improvements for obese workers. For obese workers, it is possible to propose increasing the size of the target where the reduced foot reach performance is evident.Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Objectives 3 1.3 Dissertation Outline 4 Chapter 2 Literature Review 7 2.1 Obesity Effects on Physical Function and Performance 7 2.2 Literature Review on Foot Target Reach Task 10 2.3 Literature Review on Reaction time 13 Chapter 3 Obesity Effects on Seated Foot Reaches 15 3.1 Introduction 15 3.2 Research Methods 17 3.3 Results 24 3.4 Discussions 29 Chapter 4 The effects of obesity and posture on foot reach tasks: task performance and perceived discomfort 37 4.1 Introduction 37 4.2 Research Methods 40 4.3 Results 45 4.4 Discussions 56 Chapter 5 Models for predicting standing and seated foot target reach movement times of obese and non-obese operators 66 5.1 Introduction 66 5.2 Research Methods 70 5.3 Results 74 5.4 Discussions 91 Chapter 6 Conclusion 95 6.1 Summary 95 6.2 Implications 97 6.3 Future Research Ideas 99 Bibliography 102 Appendix A. The ANOVA tables 123 A.1 The ANOVA results for reaction time 123 A.2 The ANOVA results for movement time 124 A.3 The ANOVA results for task performance time 125 A.4 The ANOVA results for discomfort rating 126 ๊ตญ๋ฌธ์ดˆ๋ก 130๋ฐ•

    Vehicle ergonomics and older drivers

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    There is a growing population of older people around the world and the population of older drivers is increasing in parallel. UK government figures in 2012 reported that there were more than 15 million people with a driving license aged over 60; more than 1 million of these were over 80. The aim of this thesis is to determine the requirements of older users for an improved driving experience leading to recommendations for the automotive industry. Initially it was necessary to understand some of the key issues concerning the driving experiences of older drivers; therefore a questionnaire survey of drivers of all ages (n=903) was conducted supplemented by interviews with drivers aged โ‰ฅ 65 years (n=15). Areas covered included: musculoskeletal symptoms, the vehicle seat, driving performance and driving behaviour. Respondents reported that they were dissatisfied with adjusting specific seat features, for example the head rest height and distance from the head; females reported more difficulty than males. Reaching and pulling the boot door down to close was difficult for 12% of older females. Older males and females also reported more difficulties with parallel parking and driving on a foggy day than younger drivers (p<0.01). Nearly half of the sample (47%) reported that other drivers lights restrict their vision when driving at night. An in depth study was conducted to compare participants own vehicle (familiar) and a test vehicle (unfamiliar) to understand how design of the vehicle cab impacts on posture, comfort, health and wellbeing in older drivers (n=47, โ‰ฅ50 years). The study involved functional performance assessments, seat set-up process evaluation (observations and postural analysis), ergonomics and emotional design based evaluations of car seat controls. Many issues were identified related to the seat controls such as operating, accessing, reaching and finding, particularly for the head rest height and lumbar support adjustments. Approximately 40% of the participants had difficulty turning their head and body around to adjust the head rest height, and the majority of these were over 80. This led to a series of workshops (including a participatory design exercise) with 18 participants (4 groups, โ‰ฅ 65 years).The aim was to explore the optimum positioning and operation of controls for older drivers. This research has provided foundational data and makes design recommendations for the automotive industry with a focus on making seat controls more inclusive (operation, location, type, size, colour and materials) and meet the requirements of older drivers

    Including plus size people in workplace design

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    Over 60% of the adult population in the United Kingdom is now overweight or obese or classed as plus size . This is higher than almost all other developed countries in the world. Even with numerous public health interventions, the incidence of being plus size continues to rise potentially changing the demographics of the working population. This presents a challenge to those involved in workplace design as the design process relies upon the utilization of appropriate anthropometric data to establish the percentage of the user population that will be accommodated by the design. The aim of this thesis is to identify issues affecting plus size people in the working environment, not previously explored within the literature. Furthermore, by understanding the size and shape of this population via the collection of key anthropometric data, this will help inform the design of safe, comfortable, inclusive and productive working environments for plus size people within the United Kingdom. A first stage Scoping Study (n=135) found that fit (equipment, tools, furniture, uniforms and personal protective equipment) and space (circulation and shared spaces within the working environment) were issues of concern to plus size people. This suggests that aspects of the current design of the workplace are not suitable, and may even exclude plus size people. A better understanding of the anthropometric requirements of plus size workers is therefore required. Self-reported anthropometric data is an acceptable way of studying large and geographically diverse populations and may assist in accessing the hard to reach plus size working population. A validation study (n=20) established that self measurement of 14 key anthropometric measurements, using a self measurement instruction guide, was a feasible and acceptable data collection method for a larger scale anthropometric study to further understand the body size and shape of plus size people at work. A unique measure of knee splay (for a non-pregnant population) was included. Defined as the distance between the outer borders of the knees whilst seated in the preferred sitting position it represents the observed sitting postures of plus size individuals not captured in existing anthropometric data sources. The larger scale Plus Size Anthropometry Study (n=101) collected anthropometric data of plus size working age people via self measurement. The findings indicated that the study population was substantially larger in circumference, depth and breadth measurements than the population of existing anthropometric data sources. Knee splay was also identified as a key anthropometric variable for plus size people, however, it is not included in any datasets or literature relating to plus size people at work. These factors may contribute to high exclusion rates from current design practices that seek to accommodate the 5th to 95th or 99th percentile of users and may explain the high incidence of fit and space issues reported by participants with a BMI over 35kg/m2 . Finally, semi structured interviews with stakeholders (n=10) explored how they would like the data from the plus size anthropometry study communicated and any additional requirements of a resource aimed at supporting stakeholders in meeting the needs of plus size people within the working environment. The primary concern from stakeholders was the lack of existing data on the size and shape of the plus size working population and the importance of access to such data in whatever format. A range of ideas were suggested including case studies, guidance and access to training which may assist them in understanding the needs of their end users ultimately supporting the inclusion of plus size people in workplace design

    The relationship between a child's postural stability and manual dexterity

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    The neural systems responsible for postural control are separate from the neural substrates that underpin control of the hand. Nonetheless, postural control and eye-hand coordination are linked functionally. For example, a stable platform is required for precise manual control tasks (e.g. handwriting) and thus such skills often cannot develop until the child is able to sit or stand upright. This raises the question of the strength of the empirical relationship between measures of postural stability and manual motor control. We recorded objective computerised measures of postural stability in stance and manual control in sitting in a sample of school children (n = 278) aged 3โ€“11 years in order to explore the extent to which measures of manual skill could be predicted by measures of postural stability. A strong correlation was found across the whole sample between separate measures of postural stability and manual control taken on different days. Following correction for age, a significant but modest correlation was found. Regression analysis with age correction revealed that postural stability accounted for between 1 and 10 % of the variance in manual performance, dependent on the specific manual task. These data reflect an interdependent functional relationship between manual control and postural stability development. Nevertheless, the relatively small proportion of the explained variance is consistent with the anatomically distinct neural architecture that exists for โ€˜grossโ€™ and โ€˜fineโ€™ motor control. These data justify the approach of motor batteries that provide separate assessments of postural stability and manual dexterity and have implications for therapeutic intervention in developmental disorders

    ์ž‘์—… ๊ด€๋ จ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ ์ €๊ฐ์„ ์œ„ํ•œ ์ž‘์—… ์ž์„ธ ๋ฐ ๋™์ž‘์˜ ์ธ๊ฐ„๊ณตํ•™ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2022.2. ๋ฐ•์šฐ์ง„.์œก์ฒด์  ๋ถ€ํ•˜๊ฐ€ ํฐ ์ž์„ธ ๋ฐ ๋™์ž‘์œผ๋กœ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒƒ์€ ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค. ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„์— ๊ฐ€ํ•ด์ง€๋Š” ์œก์ฒด์  ๋ถ€ํ•˜์˜ ์–‘์ƒ์€ ์ˆ˜ํ–‰ํ•˜๋Š” ์ž‘์—…์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง„๋‹ค. ์žฅ์‹œ๊ฐ„ ์•‰์€ ์ž์„ธ๋กœ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ, ์ž‘์—…์ž์˜ ๊ทผ์œก, ์ธ๋Œ€์™€ ๊ฐ™์€ ์—ฐ์กฐ์ง์— ๊ณผ๋„ํ•œ ๋ถ€ํ•˜๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ ๋ชฉ, ํ—ˆ๋ฆฌ ๋“ฑ ๋‹ค์–‘ํ•œ ์‹ ์ฒด ๋ถ€์œ„์—์„œ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ์ฆ๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ฐฉ์ขŒ ์‹œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ž‘์—…์ž์˜ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ , ์ด์— ๋Œ€ํ•œ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋“ค๊ธฐ ์ž‘์—…๊ณผ ๊ฐ™์€ ๋™์ ์ธ ์›€์ง์ž„์ด ํฌํ•จ๋œ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ, ์ž‘์—…์ž์˜ ์ฒด์ค‘์ด ์‹ ์ฒด์  ๋ถ€ํ•˜์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค. ์ „์„ธ๊ณ„์ ์ธ ๋น„๋งŒ์˜ ์œ ํ–‰์œผ๋กœ ์ธํ•ด ๋งŽ์€ ์ž‘์—…์ž๋“ค์ด ์ฒด์ค‘ ์ฆ๊ฐ€๋ฅผ ๊ฒช๊ณ  ์žˆ๊ณ , ๋“ค๊ธฐ ์ž‘์—…๊ณผ ๊ฐ™์€ ๋™์ ์ธ ์ž‘์—…์—์„œ ๋น„๋งŒ์€ ์‹ ์ฒด์  ๋ถ€ํ•˜์— ์•…์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋น„๋งŒ๊ณผ ์ž‘์—… ๊ด€๋ จ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์€ ์ž ์žฌ์ ์ธ ์—ฐ๊ด€์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ณ , ๋น„๋งŒ์ด ๋“ค๊ธฐ ์ž‘์—…์— ๋ฏธ์น˜๋Š” ์ƒ์ฒด์—ญํ•™์  ์˜ํ–ฅ์„ ๋…ผ์˜ํ•  ํ•„์š”์„ฑ์ด ์žˆ๋‹ค. ์ž‘์—…์žฅ์—์„œ์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๋“ค์ด ์ˆ˜ํ–‰๋˜์–ด ์™”์ง€๋งŒ, ์ž‘์—… ์‹œ์Šคํ…œ์˜ ์ธ๊ฐ„๊ณตํ•™์  ์„ค๊ณ„ ์ธก๋ฉด์—์„œ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์žฅ์‹œ๊ฐ„ ์˜์ž์— ์•‰์•„ ์ •์ ์ธ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•œ ์œ ๋งํ•œ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ, ์ž‘์—…์ž์˜ ์ž์„ธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ  ๋ถ„๋ฅ˜ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์ด ์ œ์•ˆ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ์€ ์ž‘์—…์ž๊ฐ€ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ๋‚ฎ์€ ์ž์„ธ๋ฅผ ์ž‘์—… ์‹œ๊ฐ„ ๋™์•ˆ ์œ ์ง€ํ•˜๋„๋ก ๋•๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๊ธฐ์กด์˜ ๋Œ€๋ถ€๋ถ„์˜ ์ž์„ธ ๋ชจ๋‹ˆํ„ฐ๋ง ์‹œ์Šคํ…œ์—์„œ๋Š” ๋ถ„๋ฅ˜ํ•  ์ž์„ธ๋ฅผ ์ •์˜ํ•˜๋Š” ๊ณผ์ •์—์„œ ์ธ๊ฐ„๊ณตํ•™์  ๋ฌธํ—Œ์ด ๊ฑฐ์˜ ๊ณ ๋ ค๋˜์ง€ ์•Š์•˜๊ณ , ์‚ฌ์šฉ์ž๊ฐ€ ์‹ค์ œ๋กœ ํ™œ์šฉํ•˜๊ธฐ์—๋Š” ์—ฌ๋Ÿฌ ํ•œ๊ณ„์ ๋“ค์ด ์กด์žฌํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—…์˜ ๊ฒฝ์šฐ, ์ฒด์งˆ๋Ÿ‰ ์ง€์ˆ˜(BMI) 40 ์ด์ƒ์˜ ์ดˆ๊ณ ๋„ ๋น„๋งŒ ์ž‘์—…์ž์˜ ๋™์ž‘ ํŒจํ„ด์„ ๋…ผ์˜ํ•œ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์ฐพ์•„๋ณผ ์ˆ˜ ์—†์—ˆ๋‹ค. ๋˜ํ•œ, ๋‹ค์–‘ํ•œ ๋“ค๊ธฐ ์ž‘์—… ์กฐ๊ฑด ํ•˜์—์„œ ์ „์‹  ๊ด€์ ˆ๋“ค์˜ ์›€์ง์ž„์„ ์ƒ์ฒด์—ญํ•™์  ์ธก๋ฉด์—์„œ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ์˜ ์—ฐ๊ตฌ ๋ชฉ์ ์€ 1) ๋‹ค์–‘ํ•œ ์„ผ์„œ ์กฐํ•ฉ์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ , 2) ๋“ค๊ธฐ ์ž‘์—… ์‹œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ด ๊ฐœ๋ณ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋“ค๊ธฐ ๋™์ž‘ ํŒจํ„ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ดํ•ดํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์ž‘์—…์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์Œ์˜ ๋‘ ๊ฐ€์ง€ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๋Š” ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์€ ๊ฐ๊ฐ ์—ฌ์„ฏ ๊ฐœ์˜ ๊ฑฐ๋ฆฌ ์„ผ์„œ์™€ ์••๋ ฅ ์„ผ์„œ๋ฅผ ์กฐํ•ฉํ•˜์—ฌ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์ฐฉ์ขŒ ๊ด€๋ จํ•œ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์— ๋Œ€ํ•ด ๋ฌธํ—Œ ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ฒฐ์ •๋œ ์ž์„ธ๋“ค์— ๋Œ€ํ•ด ์„œ๋ฅธ ์—ฌ์„ฏ ๋ช…์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์—์„œ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๊ธฐ ์œ„ํ•ด kNN ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•˜์˜€๊ณ , ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ๋‹จ์ผ ์ข…๋ฅ˜์˜ ์„ผ์„œ๋กœ ๊ตฌ์„ฑ๋œ ๊ธฐ์ค€ ๋ชจ๋ธ๋“ค๊ณผ ๋น„๊ต๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ถ„๋ฅ˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ์„ผ์„œ๋ฅผ ์กฐํ•ฉํ•œ ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์ด ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋“ค๊ธฐ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ด ๊ฐœ๋ณ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋™์ž‘ ํŒจํ„ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋ชจ์…˜ ์บก์ณ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์‹คํ—˜์—๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜ ์ด๋ ฅ์ด ์—†๋Š” ์„œ๋ฅธ ๋‹ค์„ฏ ๋ช…์ด ์ฐธ์—ฌํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฃผ์š” ๊ด€์ ˆ(๋ฐœ๋ชฉ, ๋ฌด๋ฆŽ, ์—‰๋ฉ์ด, ํ—ˆ๋ฆฌ, ์–ด๊นจ, ํŒ”๊ฟˆ์น˜) ๋ณ„ ์šด๋™์—ญํ•™์  ๋ณ€์ˆ˜๋“ค๊ณผ, ๋“ค๊ธฐ ๋™์ž‘์˜ ํŒจํ„ด์„ ํ‘œํ˜„ํ•˜๋Š” ๋™์ž‘ ์ง€์ˆ˜๋“ค์„ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—… ์กฐ๊ฑด๊ณผ ๋น„๋งŒ ์ˆ˜์ค€์— ๋”ฐ๋ผ, ๋Œ€๋ถ€๋ถ„์˜ ๋ณ€์ˆ˜์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์ „์ฒด์ ์œผ๋กœ ๋น„๋งŒ์ธ์€ ์ •์ƒ์ฒด์ค‘์ธ์— ๋น„ํ•ด ๋‹ค๋ฆฌ ๋ณด๋‹ค ํ—ˆ๋ฆฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋“ค๊ธฐ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , ๋™์ž‘ ์ˆ˜ํ–‰ ์‹œ ์ƒ๋Œ€์ ์œผ๋กœ ์ ์€ ๊ด€์ ˆ ๊ฐ๋„ ๋ณ€ํ™”์™€ ๋Š๋ฆฐ ์›€์ง์ž„์„ ๋ณด์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—…์—์„œ ๋ฐ•์Šค์˜ ์ด๋™์— ๊ฐœ๋ณ„ ๊ด€์ ˆ์ด ๊ธฐ์—ฌํ•˜๋Š” ๋น„์œจ๋„ ์ •์ƒ์ฒด์ค‘์ธ๊ณผ ๋น„๋งŒ์ธ์€ ๋‹ค๋ฅธ ํŒจํ„ด์„ ๋ณด์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์‹ ์ฒด์  ๋ถ€ํ•˜์— ๋…ธ์ถœ๋œ ์ž‘์—…์ž๋“ค์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•  ์ˆ˜ ์žˆ๊ณ , ๊ถ๊ทน์ ์œผ๋กœ ์—…๋ฌด์˜ ์ƒ์‚ฐ์„ฑ๊ณผ ๊ฐœ์ธ์˜ ๊ฑด๊ฐ•์„ ์ œ๊ณ ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์€ ๊ธฐ์กด ์ž์„ธ ๋ถ„๋ฅ˜ ์‹œ์Šคํ…œ์˜ ๋‹จ์ ๋“ค์„ ์™„ํ™”ํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์‹œ์Šคํ…œ์€ ์ €๋ ดํ•œ ์†Œ์ˆ˜์˜ ์„ผ์„œ๋งŒ์„ ํ™œ์šฉํ•˜์—ฌ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์ธก๋ฉด์—์„œ ์ค‘์š”ํ•œ ์ž์„ธ๋“ค์„ ๋†’์€ ์ •ํ™•๋„๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ž์„ธ ๋ถ„๋ฅ˜ ์‹œ์Šคํ…œ์€ ์ž‘์—…์ž์—๊ฒŒ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ž์„ธ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•˜์—ฌ, ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ๋‚ฎ์€ ์ž์„ธ๋ฅผ ์œ ์ง€ํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋™์ ์ธ ์ž‘์—… ์‹œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์œผ๋กœ ์ธํ•œ ์ž ์žฌ์ ์ธ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ธ๊ณผ ์ •์ƒ์ฒด์ค‘์ธ ๊ฐ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋™์ž‘์˜ ์ฐจ์ด๋ฅผ ์ดํ•ดํ•˜์—ฌ, ๋น„๋งŒ์„ ๊ณ ๋ คํ•œ ์ธ๊ฐ„๊ณตํ•™์  ์ž‘์—…์žฅ ์„ค๊ณ„์™€ ๋™์ž‘ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.Working in stressful postures and movements increases the risk of work-related musculoskeletal disorders (WMSDs). The physical stress on a workerโ€™s musculoskeletal system depends on the type of work task. In the case of sedentary work, stressful sitting postures for prolonged durations could increase the load on soft connective tissues such as muscles and ligaments, resulting in the incidence of WMSDs. Therefore, to reduce the WMSDs, it is necessary to monitor a workerโ€™s sitting posture and additionally provide ergonomic interventions. When the worker performs a task that involves dynamic movements, such as manual lifting, the workerโ€™s own body mass affects the physical stress on the musculoskeletal system. In the global prevalence of obesity in the workforce, an increase in the body weight of the workers could adversely affect the musculoskeletal system during the manual lifting task. Therefore, obesity could be associated with the development of WMSDs, and the impacts of obesity on workersโ€™ movement during manual lifting need to be examined. Despite previous research efforts to prevent WMSDs, there still exist research gaps concerning ergonomics design of work systems. For sedentary workers, a promising solution to reduce the occurrence of WMSDs is the development of a system capable of monitoring and classifying a seated worker's posture in real-time, which could be utilized to provide feedback to the worker to maintain a posture with a low-risk of WMSDs. However, the previous studies in relation to such a posture monitoring system lacked a review of the ergonomics literature to define posture categories for classification, and had some limitations in widespread use and user acceptance. In addition, only a few studies related to obesity impacts on manual lifting focused on severely obese population with a body mass index (BMI) of 40 or higher, and, analyzed lifting motions in terms of multi-joint movement organization or at the level of movement technique. Therefore, the purpose of this study was to: 1) develop a sensor-embedded posture classification system that is capable of classifying an instantaneous sitting posture as one of the posture categories discussed in the ergonomics literature while not suffering from the limitations of the previous system, and, 2) identify the impacts of severe obesity on joint kinematics and movement technique during manual lifting under various task conditions. To accomplish the research objectives, two major studies were conducted. In the study on the posture classification system, a novel smart chair system was developed to monitor and classify a workerโ€™s sitting postures in real-time. The smart chair system was a mixed sensor system utilizing six pressure sensors and six infrared reflective distance sensors in combination. For a total of thirty-six participants, data collection was conducted on posture categories determined based on an analysis of the ergonomics literature on sitting postures and sitting-related musculoskeletal problems. The mixed sensor system utilized a kNN algorithm for posture classification, and, was evaluated in posture classification performance in comparison with two benchmark systems that utilized only a single type of sensors. The mixed sensor system yielded significantly superior classification performance than the two benchmark systems. In the study on the manual lifting task, optical motion capture was conducted to examine differences in joint kinematics and movement technique between severely obese and non-obese groups. A total of thirty-five subjects without a history of WMSDs participated in the experiment. The severely obese and non-obese groups show significant differences in most joint kinematics of the ankle, knee, hip, spine, shoulder, and elbow. There were also significant differences between the groups in the movement technique index, which represents a motion in terms of the relative contribution of an individual joint degree of freedom to the box trajectory in a manual lifting task. Overall, the severely obese group adopted the back lifting technique (stoop) rather than the leg lifting technique (squat), and showed less joint range of excursions and slow movements compared to the non-obese group. The findings mentioned above could be utilized to reduce the risk of WMSDs among workers performing various types of tasks, and, thus, improve work productivity and personal health. The mixed sensor system developed in this study was free from the limitations of the previous posture monitoring systems, and, is low-cost utilizing only a small number of sensors; yet, it accomplishes accurate classification of postures relevant to the ergonomic analyses of seated work tasks. The mixed sensor system could be utilized for various applications including the development of a real-time posture feedback system for preventing sitting-related musculoskeletal disorders. The findings provided in the manual lifting study would be useful in understanding the potential risk of WMSDs for severely obese workers. Differences in joint kinematics and movement techniques between severely obese and non-obese groups provide practical implications concerning the ergonomic design of work tasks and workspace layout.Chapter 1. Introduction 1 1.1 Research Background 1 1.2 Research Objectives 5 1.3 Dissertation Outline 6 Chapter 2. Literature Review 8 2.1 Work-related Musculoskeletal Disorders Among Sedentary Workers 8 2.1.1 Relationship Between Sitting Postures and Musculoskeletal Disorders 8 2.1.2 Systems for Monitoring and Classifying a Seated Worker's Postures 10 2.2 Impacts of Obesity on Manual Works 22 2.2.1 Impacts of Obesity on Work Capacity 22 2.2.2 Impacts of Obesity on Joint Kinematics and Biomechanical Demands 24 Chapter 3. Developing and Evaluating a Mixed Sensor Smart Chair System for Real-time Posture Classification: Combining Pressure and Distance Sensors 27 3.1 Introduction 27 3.2 Materials and Methods 33 3.2.1 Predefined posture categories for the mixed sensor system 33 3.2.2 Physical construction of the mixed sensor system 36 3.2.3 Posture Classifier Design for the Mixed Sensor System 38 3.2.4 Data Collection for Training and Testing the Posture Classifier of the Mixed Sensor System 41 3.2.5 Comparative Evaluation of Posture Classification Performance 43 3.3 Results 46 3.3.1 Model Parameters and Features 46 3.3.2 Posture Classification Performance 47 3.4 Discussion 50 Chapter 4. Severe Obesity Impacts on Joint Kinematics and Movement Technique During Manual Load Lifting 57 4.1 Introduction 57 4.2 Methods 61 4.2.1 Participants 61 4.2.2 Experimental Task 61 4.2.3 Experimental Procedure 64 4.2.4 Data Processing 65 4.2.5 Experimental Variables 67 4.2.6 Statistical Analysis 71 4.3 Results 72 4.3.1 Kinematic Variables 72 4.3.2 Movement Technique Indexes 83 4.4 Discussion 92 Chapter 5. Conclusion 102 5.1 Summary 102 5.2 Implications 105 5.3 Limitations and Future Directions 106 Bibliography 108 ๊ตญ๋ฌธ์ดˆ๋ก 133๋ฐ•

    The influence of whole-body vibration and postural support on activity interference in standing rail passengers

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    Travel time has generally been regarded as an unproductive period, representing a means-to-an-end in order to engage in activities at specific destinations. Rapid developments in mobile technology have provided people with innovative ways to multi-task and engage in meaningful activities while travelling. Rail transportation specifically, offers passengers advantages over other means of transportation as there is no need to focus on driving tasks. Due to the increase in passenger numbers and limited seating availability in train carriages, over one third of rail passengers are required to stand while travelling (DfT, 2013). The vibration to which rail passengers are exposed has been shown to interfere with the performance of activities and for standing passengers, it is often necessary to use postural supports such as holding on to grab rails or leaning on walls in order to maintain stability. The overall aim of the research is to evaluate the influence of whole-body vibration (WBV) exposure and standing posture on the performance of manual control tasks and the associated subjective workloads experienced by rail passengers. The use of supports, such as a backrest in seated postures, has been found to influence the response of the human body to WBV exposure, yet no reported studies have investigated the effects of postural supports on the response of the body in standing postures. Understanding how the body is affected in these conditions would increase the current state of knowledge on the biomechanical responses of the human body to vibration exposure and provide improved representation of standing postures within vibration standards (for example, ISO2631-4 (2001)) and guidelines for device interface design. A field study, using direct observation, was conducted to assess the behaviour of standing rail passengers and determine the characteristics of typical vibration exposures. This information provided the basis for the design of four subsequent laboratory studies. The main investigations of the laboratory studies were the influence of WBV exposure on objective performance measures, such as task completion time and error rate, and subjective workloads (for example, NASA TLX) for a range of manual control tasks. One of these laboratory studies evaluated the influence of various postural supports (for example, backrests) on the biomechanical responses of standing individuals. Measurements obtained during the field investigation indicated that the vibration exposures did not exceed the EU Physical Agents Exposure Action Value (EAV) and therefore posed little risk of injury. Vibration magnitudes in the horizontal directions (x- and y-axes) were higher than in the vertical direction (z-axis) and it was necessary for standing passengers to alter behaviours and use supports in order to maintain stability while travelling. The results of the laboratory studies indicated that in conditions where decrements in task performance occurred, the extent to which performance was degraded increased progressively with increases in vibration magnitude. There were conditions (for example, in the continuous control task and the Overhead Handle supported posture in the serial control task) where vibration exposure showed no significant influence on performance measures. This suggested that individuals were able to adapt and compensate for the added stress of vibration exposure in order to maintain performance levels however, this occurred at the expense of mental workload. The workload experienced by the participants increased with corresponding increases in magnitude. Vibration frequency-dependent effects in performance and workload were found to match the biomechanical responses (apparent mass and transmissibility) of the human body and resemble the frequency weightings described in the standards (ISO2631-1 (1997)). During the serial control task, the postures which demonstrated the greatest decrements to performance (for example, Lean Shoulder and Lean Back ) corresponded to the same postures that showed the greatest influence on the biomechanical responses of the body. It was concluded therefore, that measurements of the biomechanical responses to WBV could be used to offer predictions for the likelihood of activity interference. Consideration should however, be given to the applicability of this research before these results can be generalised to wider contexts. Further validation is recommended for future work to include different conditions in order to substantiate the findings of this research

    A cross-culture, cross-gender comparison of perspective taking mechanisms

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    Being able to judge another person's visuo-spatial perspective is an essential social skill, hence we investigated the generalizability of the involved mechanisms across cultures and genders. Developmental, cross-species, and our own previous research suggest that two different forms of perspective taking can be distinguished, which are subserved by two distinct mechanisms. The simpler form relies on inferring another's line-of-sight, whereas the more complex form depends on embodied transformation into the other's orientation in form of a simulated body rotation. Our current results suggest that, in principle, the same basic mechanisms are employed by males and females in both, East-Asian (EA; Chinese) and Western culture. However, we also confirmed the hypothesis that Westerners show an egocentric bias, whereas EAs reveal an other-oriented bias. Furthermore, Westerners were slower overall than EAs and showed stronger gender differences in speed and depth of embodied processing. Our findings substantiate differences and communalities in social cognition mechanisms across genders and two cultures and suggest that cultural evolution or transmission should take gender as a modulating variable into account

    A Stimulation Method to Assess the Contractile Status of the Lumbar Extensors in a Seated Posture

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    The purpose of present study was to develop and evaluate methods to assess stimulation responses of the lumbar extensors, as part of a longerโ€term goal of detecting fatigue during prolonged sitting. Three stimulation frequencies (2, 5, and 8ย Hz) were tested in separate stages, which include 3 stimulation trains and 4 sampling blocks. Repeated measures analyses of variance were used to determine whether any significant differences in mean stimulation responses occurred with respect to stimulation frequency, sampling block, and stimulation train. Reliability of measured stimulation responses was assessed within and between sampling blocks using intraclass correlation coefficients. Stimulation frequencies significantly affected the stimulation responses and timeโ€toโ€potentiation differed between the 3 stimulation frequencies; it was highest for 2ย Hz stimulation. All 3 stimulation frequencies resulted in excellent reliability within and between sampling blocks. Use of the current protocol at 2ย Hz is recommended as appropriate to measure the lumbar extensors status during prolonged sitting.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/115927/1/hfm20584.pd
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