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    ํ›„์ด ๋งˆ์šฐ๋ฃจ ๋งˆ๋ฆฌ๋‹ˆ์˜ <์ข…์†์˜ ๋ณ€์ฆ๋ฒ•>

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    ํ›„์ด ๋งˆ์šฐ๋ฃจ ๋งˆ๋ฆฌ๋‹ˆ(Ruy Mauro Marini)์˜ ??์ข…์†์˜ ๋ณ€์ฆ๋ฒ•??(Dialรฉctica de la Dependencia)์€ 1973๋…„ ๋ฐœ๊ฐ„๋œ ํ›„ ๋ผํ‹ด์•„๋ฉ”๋ฆฌ์นด์˜ ์ขŒํŒŒ ์ง€์‹์ธ์œผ๋กœ๋ถ€ํ„ฐ ๋งŽ์€ ์ฐฌ์‚ฌ์™€ ๋น„๋‚œ์„ ๋ฐ›์œผ๋ฉฐ ๋œจ๊ฑฐ์šด ๋…ผ์Ÿ์˜ ๋Œ€์ƒ์ด ๋˜์—ˆ๋‹ค. ์ข…์†์ด๋ก ์˜ ํ•œ ๋ถ„ํŒŒ์ธ ์ƒํŒŒ์šธ๋ฃจ ํ•™ํŒŒ๋Š” ์ข…์†์ด ํŠน์ • ์กฐ๊ฑด์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์ผ์‹œ์  ํ˜„์ƒ์ผ ๋ฟ์ด๋ฏ€๋กœ ์ข…์†์ด๋ก ๊ณผ ๊ฐ™์€ ์ผ๋ฐ˜ํ™”์˜ ์‹œ๋„๋Š” ์˜๋ฏธ๊ฐ€ ์—†๋‹ค๊ณ  ์ฃผ์žฅํ–ˆ๋‹ค. ๋ธŒ๋ผ์งˆ ๋Œ€ํ†ต๋ น์„ ์—ญ์ž„ํ•œ ๋ฐ” ์žˆ๋Š” ํŽ˜๋ฅด๋‚œ๋‘ ์—”ํžˆํ‚ค ์นด๋ฅด๋„์ฃผ๊ฐ€ ์ฃผ๋„ํ•˜๋Š” ์ƒํŒŒ์šธ๋ฃจ ํ•™ํŒŒ๋Š” ์ฃผ๋กœ ๋ฒ ๋ฒ„์ฃผ์˜์  ๊ด€์ ๊ณผ ์‚ฌํšŒํ•™์  ๋ถ„์„๋ฐฉ๋ฒ•์„ ์ด์šฉํ•ด ๊ฐœ๋ฐœ๋„์ƒ๊ตญ ๋ฐ ์ €๊ฐœ๋ฐœ๊ตญ๊ฐ€์˜ ์ €๋ฐœ์ „ ๋ฌธ์ œ๋ฅผ ๊ตญ์ œ์  ๋งฅ๋ฝ์—์„œ ์ดํ•ดํ•˜๋Š” ์ข…์†์ด๋ก ์˜ ํ•œ ๋ถ„ํŒŒ์ด๋‹ค

    ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฐ„ํ˜ธํ•™๊ณผ ๊ฐ„ํ˜ธํ•™์ „๊ณต, 2013. 2. ์œค์ˆœ๋…•.๋ณธ ์—ฐ๊ตฌ๋Š” ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ์ƒํ™œ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ๋ณ€์ธ๋“ค์„ ํ™•์ธํ•˜๋Š” ์„œ์ˆ ์  ์กฐ์‚ฌ์—ฐ๊ตฌ์ด๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ์‚ถ์˜ ์งˆ์„ ์ฆ์ง„์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•˜๋Š”๋ฐ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์ž๋Š” ์„œ์šธ์‹œ S๊ตฌ 5๊ฐœ๋™์— ๊ฑฐ์ฃผํ•˜๋Š” 65์„ธ ์ด์ƒ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์„ ํŽธ์˜์ถ”์ถœ ํ•˜์˜€์œผ๋ฉฐ, ๋Œ€์ƒ์ž๋Š” ์ด 131๋ช…์ด์—ˆ๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘๊ธฐ๊ฐ„์€ 2011๋…„ 7์›” 25์ผ๋ถ€ํ„ฐ 2011๋…„ 9์›” 2์ผ๊นŒ์ง€์ด๋ฉฐ ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ํ† ๋Œ€๋กœ ๋ฉด์ ‘์กฐ์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋…๋ฆฝ๋ณ€์ˆ˜์ธ ์‚ฌํšŒ์  ์ง€์ง€์™€ ๊ฑด๊ฐ•ํ–‰์œ„๋Š” ๊ฐ๊ฐ K-MOS-SSS(์ž„๋ฏผ๊ฒฝ, 2002), ๋…ธ์ธ์˜ ๊ฑด๊ฐ•ํ–‰์œ„ ์ธก์ •๋„๊ตฌ(๊ตฌ๋ฏธ์˜ฅ ๋“ฑ, 2003)๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ข…์†๋ณ€์ˆ˜๋Š” ์ตœ์„ฑ์žฌ(1986)์˜ ๋…ธ์ธ์ƒํ™œ๋งŒ์กฑ๋„ ์ฒ™๋„, ๊ฑด๊ฐ•์ˆ˜์ค€์€ KoHSME V1.0(์‹ ํ˜ธ์ฒ  ๋“ฑ, 2002), ํ†ต์ฆ์ •๋„๋Š” ์‹œ๊ฐ์ƒ์‚ฌ์ฒ™๋„, ์™ธ๋กœ์›€์€ Korean Version of the Revised UCLA Loneliness Scale(๊น€์˜ฅ์ˆ˜, 1997), ์šฐ์šธ์€ K-GDS Short Form(๊ธฐ๋ฐฑ์„, 1996)์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” ์„œ์ˆ ์  ํ†ต๊ณ„, t-test, ANOVA, ANCOVA, ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„, ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ฑด๊ฐ•์ˆ˜์ค€์€ ์‹ ์ฒด์  ๊ธฐ๋Šฅ, ํ†ต์ฆ, ์™ธ๋กœ์›€, ์šฐ์šธ๋กœ ์ธก์ •ํ•˜์˜€๋‹ค. ์‹ ์ฒด์  ๊ธฐ๋Šฅ์€ 55.2์ ์œผ๋กœ ์ค‘๊ฐ„๋ณด๋‹ค ์•ฝ๊ฐ„ ๋‚ฎ์•˜์œผ๋ฉฐ ํ‰๊ท ์ˆ˜์ž…, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€, ์—ฌ๊ฐ€ํ™œ๋™ ํ˜•ํƒœ์— ๋”ฐ๋ผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์—ฐ๋ น, ๊ฐ€๊น๊ฒŒ ์ง€๋‚ด๋Š” ์‚ฌ๋žŒ ์ˆ˜, ๊ธฐ๋Šฅ์  ์‚ฌํšŒ์  ์ง€์ง€, ๊ฑด๊ฐ•ํ–‰์œ„์™€ ์ • ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ํ†ต์ฆ์€ ์ด 10์  ์ค‘ 5.4์ ์œผ๋กœ ์ค‘๊ฐ„์ด์ƒ์˜ ํ†ต์ฆ ์ •๋„๋ฅผ ํ˜ธ์†Œํ•˜์˜€๊ณ , ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ฐ€๊น๊ฒŒ ์ง€๋‚ด๋Š” ์‚ฌ๋žŒ ์ˆ˜, ๊ธฐ๋Šฅ์  ์‚ฌํšŒ์  ์ง€์ง€, ๊ฑด๊ฐ•ํ–‰์œ„์™€ ๋‚ฎ์€ ์—ญ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์™ธ๋กœ์›€์€ ์ด 49.6์ ์œผ๋กœ ์ค‘๋“ฑ๋„์˜ ์™ธ๋กœ์›€์„ ๋‚˜ํƒ€๋‚ด์—ˆ๊ณ , ํ‰๊ท ์ˆ˜์ž…, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€, ์—ฌ๊ฐ€ํ™œ๋™ ํ˜•ํƒœ์— ๋”ฐ๋ผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ฐ€๊น๊ฒŒ ์ง€๋‚ด๋Š” ์‚ฌ๋žŒ ์ˆ˜, ๊ธฐ๋Šฅ์  ์‚ฌํšŒ์  ์ง€์ง€, ๊ฑด๊ฐ•ํ–‰์œ„์™€ ์ค‘๊ฐ„์ด์ƒ์˜ ์—ญ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์šฐ์šธ์€ ์ด 9.5์ ์œผ๋กœ ์ค‘๊ฐ„์ด์ƒ์˜ ์šฐ์šธ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๊ณ , ํ‰๊ท ์ˆ˜์ž…, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€์— ๋”ฐ๋ผ ํ†ต๊ณ„์ ์œผ๋กœ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ฐ€๊น๊ฒŒ ์ง€๋‚ด๋Š” ์‚ฌ๋žŒ ์ˆ˜, ๊ธฐ๋Šฅ์  ์‚ฌํšŒ์ ์ง€์ง€, ๊ฑด๊ฐ•ํ–‰์œ„์™€ ์—ญ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. 2. ์ƒํ™œ๋งŒ์กฑ๋„๋Š” ์ด 46.7์ ์œผ๋กœ ์ค‘๊ฐ„์ •๋„์˜ ๋งŒ์กฑ๋„๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๊ณ , ํ‰๊ท ์ˆ˜์ž…, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€, ์—ฌ๊ฐ€ํ™œ๋™ ํ˜•ํƒœ์— ๋”ฐ๋ผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ฐ€๊น๊ฒŒ ์ง€๋‚ด๋Š” ์‚ฌ๋žŒ ์ˆ˜, ๊ธฐ๋Šฅ์  ์‚ฌํšŒ์ ์ง€์ง€, ๊ฑด๊ฐ•ํ–‰์œ„, ์‹ ์ฒด์  ๊ธฐ๋Šฅ๊ณผ ์ • ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๊ณ , ํ†ต์ฆ, ์™ธ๋กœ์›€, ์šฐ์šธ๊ณผ๋Š” ์—ญ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. 3. ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•œ ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ์ƒํ™œ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ค‘์š” ์š”์ธ์€ ์™ธ๋กœ์›€, ์šฐ์šธ, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€, ์—ฌ๊ฐ€ํ™œ๋™ ํ˜•ํƒœ์ด๋ฉฐ, ์ด ๋ณ€์ˆ˜๋“ค์˜ ์„ค๋ช…๋ ฅ์€ 73%์˜€๋‹ค. ์ฆ‰ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ์ƒํ™œ๋งŒ์กฑ๋„๋Š” ์™ธ๋กœ์›€๊ณผ ์šฐ์šธ์ด ๋‚ฎ์„์ˆ˜๋ก, ์ฃผ๊ด€์  ๊ฒฝ์ œ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ์—ฌ๊ฐ€ํ™œ๋™์„ ํ•˜์ง€ ์•Š๋Š” ๊ตฐ๋ณด๋‹ค๋Š” ๋…ธ์ธ์—ฌ๊ฐ€๋ณต์ง€์‹œ์„ค์—์„œ ์—ฌ๊ฐ€ํ™œ๋™์„ ํ•˜๋Š” ๊ตฐ์—์„œ ์ƒํ™œ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ๊ฒฝ์ œ์ˆ˜์ค€์€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ์š”์ธ์ž„์„ ํ™•์ธํ•˜์˜€๊ณ , ํ‰๊ท ์†Œ๋“์ด ์ตœ์ €์ƒ๊ณ„๋น„ ์ดํ•˜์ธ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์„ ์œ„ํ•œ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ ๋ฐ ์ผ์ •์ˆ˜์ค€์˜ ๊ฒฝ์ œ์  ์ˆ˜์ค€์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š” ์ผ์ž๋ฆฌ ์ฐฝ์ถœ๊ณผ ๊ฒฝ์ œ์  ์ง€์›๋ฐฉ์•ˆ์„ ๊ฐ•๊ตฌํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋…ธ์ธ์—ฌ๊ฐ€๋ณต์ง€์‹œ์„ค์—์„œ์˜ ์—ฌ๊ฐ€ํ™œ๋™์ด ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ค€๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ–ฅ ํ›„ ์ง€์—ญ์‚ฌํšŒ ๊ฑด๊ฐ•ํ”„๋กœ๊ทธ๋žจ ํ™œ์„ฑํ™”์™€ ๊ฐ„ํ˜ธ์ค‘์žฌ ๊ฐœ์ž…์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ์ฃผ์š”์–ด : ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ, ๊ฑด๊ฐ•์ˆ˜์ค€, ์ƒํ™œ๋งŒ์กฑ๋„๋ชฉ ์ฐจ ๊ตญ๋ฌธ์ดˆ๋ก i 1. ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 3. ์šฉ์–ด์˜ ์ •์˜ 4 4. ์—ฐ๊ตฌ์˜ ์ œํ•œ์  6 โ…ก. ๋ฌธํ—Œ๊ณ ์ฐฐ 7 1. ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ 7 2. ๊ฑด๊ฐ•์ˆ˜์ค€ 10 3. ์ƒํ™œ๋งŒ์กฑ๋„ 18 4. ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 20 โ…ข. ๊ฐœ๋…์  ๊ธฐํ‹€ 28 โ…ฃ. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 29 1. ์—ฐ๊ตฌ ์„ค๊ณ„ 29 2. ์—ฐ๊ตฌ ๋Œ€์ƒ 29 3. ์—ฐ๊ตฌ ๋„๊ตฌ 30 4. ์ž๋ฃŒ ์ˆ˜์ง‘ ๋ฐฉ๋ฒ• 33 5. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 34 โ…ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 35 1. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ํŠน์„ฑ 35 2. ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„ 39 3. ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฑด๊ฐ•์ˆ˜์ค€๊ณผ ์ƒํ™œ๋งŒ์กฑ๋„์˜ ์ฐจ์ด 40 4. ์ฃผ์š” ๋ณ€์ˆ˜๋“ค๊ณผ ๊ฑด๊ฐ•์ˆ˜์ค€, ์ƒํ™œ๋งŒ์กฑ๋„๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„ 48 5. ์ƒํ™œ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 50 โ…ฅ. ๋…ผ์˜ 52 1. ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ˆ˜์ค€ 52 2. ๋„์‹œ ์žฌ๊ฐ€ ์—ฌ์„ฑ๋…๊ฑฐ๋…ธ์ธ์˜ ์ƒํ™œ๋งŒ์กฑ๋„ 55 3. ์—ฐ๊ตฌ์˜ ์ œํ•œ์  ๋ฐ ์˜์˜ 58 โ…ฆ. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 60 1. ๊ฒฐ๋ก  60 2. ์ œ์–ธ 62 ์ฐธ๊ณ ๋ฌธํ—Œ 64 ๋ถ€ ๋ก 73 Abstract 84Maste

    ์˜์•ฝ๋ถ„์—…์ •์ฑ…๊ฒฐ์ •๊ณผ์ •์—์„œ ์ด์ต๊ฐˆ๋“ฑ๊ณผ ์ •๋ถ€์˜ ๋Œ€์‘์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ์ •์ฑ…๊ฒฐ์ •๊ณผ์ •์˜ ์ •์น˜์  ํ•ฉ๋ฆฌ์„ฑ๊ณผ ์‹คํ˜„๊ฐ€๋Šฅ์„ฑ์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ํ–‰์ •๋Œ€ํ•™์› :ํ–‰์ •ํ•™๊ณผ ์ •์ฑ…ํ•™์ „๊ณต,2000.Maste

    ์ˆ˜์ˆ ๊ฐ„ํ˜ธ์กฐ์ง์˜ ์„ฑ๊ณผํ‰๊ฐ€ ์œ ํšจ์„ฑ์ด ์กฐ์ง์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ˜„๋Œ€ ์กฐ์ง์—์„œ ๊ด€๋ฆฌ์‹œ์Šคํ…œ๊ณผ ์กฐ์ง์— ๋Œ€ํ•œ ๊ตฌ์„ฑ์›์˜ ๋ฐ˜์‘์€ ์กฐ์ง์˜ ์„ฑ๊ณผ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ธฐ ๋•Œ๋ฌธ์—, ์„ฑ๊ณผํ‰๊ฐ€์˜ ์œ ํšจ์„ฑ์ด ๊ตฌ์„ฑ์›์˜ ๋ฐ˜์‘์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์€ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋‹ค. ์ฆ‰, ๊ตฌ์„ฑ์›์ด ์„ฑ๊ณผํ‰๊ฐ€ ๊ณผ์ •๊ณผ ํ‰๊ฐ€๊ฒฐ๊ณผ๊ฐ€ ๊ณต์ •ํ•˜๊ฒŒ ๊ฒฐ์ •๋˜์—ˆ๋‹ค๊ณ  ์ง€๊ฐํ•œ๋‹ค๋ฉด, ๋‚ฎ์€ ํ‰๊ฐ€๋ฅผ ๋ฐ›๋”๋ผ๋„ ๊ฐœ์ธ์˜ ๋‚ฎ์€ ์ ์ˆ˜์— ๋Œ€ํ•œ ์„ฑ๊ณผํ–ฅ์ƒ์„ ์œ„ํ•œ ๋…ธ๋ ฅ์ด ์ด๋ฃจ์–ด์งˆ ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์„ฑ๊ณผํ‰๊ฐ€ ๊ณผ์ •์ด ๋ถˆ๊ณต์ •ํ•˜๋‹ค๊ณ  ์ง€๊ฐ๋œ๋‹ค๋ฉด, ์ด๊ฒƒ์€ ์„ฑ๊ณผ์˜ ๊ฐ์†Œ๋กœ ์ด์–ด์งˆ ๊ฒƒ์ด๋‹ค. ๊ฐ„ํ˜ธ์—…๋ฌด์˜ ์„ฑ๊ณผ๊ด€๋ฆฌ๋Š” ๋ณ‘์›์˜ ์—…๋ฌดํšจ์œจ์„ฑ ๋ฐ ์ƒ์‚ฐ์„ฑ๊ณผ ์ง๊ฒฐ๋˜๋ฏ€๋กœ, ์ƒ์œ„ ๋ชฉํ‘œ์™€ ์—ฐ๊ณ„๋˜์–ด ๋ณ‘์›์กฐ์ง์˜ ๋ชฉํ‘œ๋‹ฌ์„ฑ์— ๊ธฐ์—ฌํ•˜์—ฌ์•ผ ํ•˜์ง€๋งŒ, ์ˆ˜์ˆ ์‹ค ๊ฐ„ํ˜ธ์‚ฌ์˜ ์„ฑ๊ณผํ‰๊ฐ€์— ๋Œ€ํ•œ ์ง€๊ฐ์ด ์ˆ˜์ˆ ๊ฐ„ํ˜ธ์กฐ์ง์˜ ์กฐ์ง์„ฑ๊ณผ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•˜๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„ฑ๊ณผํ‰๊ฐ€์˜ ์œ ํšจ์„ฑ๊ณผ ์กฐ์ง์„ฑ๊ณผ์— ๋Œ€ํ•œ ์ „์ฒด์ ์ธ ๊ฐœ๋…ํ‹€์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ, ์„ฑ๊ณผํ‰๊ฐ€์‹œ์Šคํ…œ์˜ ์œ ํšจ์„ฑ์— ๋”ฐ๋ฅธ ์กฐ์ง์œ ํšจ์„ฑ, ๊ทธ๋ฆฌ๊ณ  ์ˆ˜์ˆ ๊ฐ„ํ˜ธ๋‹จ์œ„ ์กฐ์ง์„ฑ๊ณผ์™€์˜ ๊ด€๊ณ„๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ๊ทœ๋ช…ํ•˜์—ฌ ์„ฑ๊ณผํ‰๊ฐ€์‹œ์Šคํ…œ์˜ ์œ ํšจ์„ฑ์— ๋Œ€ํ•œ ์‹ค์ฆ์ ์ธ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๊ณ , ์ˆ˜์ˆ ๊ฐ„ํ˜ธ์กฐ์ง์˜ ์„ฑ๊ณผํ‰๊ฐ€์‹œ์Šคํ…œ์˜ ์„ค๊ณ„ ์‹œ ๋ฐฉํ–ฅ์„ฑ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„ฑ๊ณผํ‰๊ฐ€์˜ ์œ ํšจ์„ฑ๊ณผ ์กฐ์ง์œ ํšจ์„ฑ ๋ฐ ์กฐ์ง์„ฑ๊ณผ์™€์˜ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์„ ๊ธฐ์ดˆ๋กœ ๊ฐ€์„ค์  ๋ชจํ˜•์„ ๊ตฌ์„ฑํ•˜์—ฌ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชจํ˜•์€ ์™ธ์ƒ๋ณ€์ˆ˜ 2๊ฐœ์™€ ๋‚ด์ƒ๋ณ€์ˆ˜ 3๊ฐœ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์™ธ์ƒ๋ณ€์ˆ˜๋Š” ํ‰๊ฐ€์˜ ์ •ํ™•์„ฑ ์ง€๊ฐ, ํ‰๊ฐ€์˜ ๊ณต์ •์„ฑ ์ง€๊ฐ์ด๋ฉฐ, ๋‚ด์ƒ๋ณ€์ˆ˜๋Š” ์กฐ์ง๋ชฐ์ž…, ์ด์ง์˜๋„, ์กฐ์ง์„ฑ๊ณผ์ด์—ˆ๋‹ค. ํ‰๊ฐ€์˜ ์ •ํ™•์„ฑ๊ณผ ํ‰๊ฐ€์˜ ๊ณต์ •์„ฑ ์ง€๊ฐ์€ ์กฐ์ง๋ชฐ์ž…, ์ด์ง์˜๋„, ์ตœ์ข…์ ์œผ๋กœ ์กฐ์ง์„ฑ๊ณผ์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฐ€์„ค์  ๋ชจํ˜•์„ ๊ตฌ์ถ•ํ•˜๊ณ , ๋ชจํ˜•๊ฒ€์ฆ์„ ์œ„ํ•ด ๊ฒฝ๋กœ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ์ž๋ฃŒ๋Š” ์„œ์šธ์‹œ๋‚ด์— ์†Œ์žฌํ•˜๋Š” 3๊ฐœ์˜ 3์ฐจ ์˜๋ฃŒ๊ธฐ๊ด€์— ์žฌ์ง ์ค‘์ธ ์ˆ˜์ˆ ์‹ค ๊ฐ„ํ˜ธ์‚ฌ 270๋ช…์„ ๋Œ€์ƒ์œผ๋กœ 2011๋…„ 8์›” 1์ผ๋ถ€ํ„ฐ 2011๋…„ 8์›” 25์ผ ๊นŒ์ง€ ์„ค๋ฌธ์ง€ ์กฐ์‚ฌ๋ฒ•์— ์˜ํ•ด ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” SPSS 12.0, AMOS 5.0 ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๊ฐ€์„ค์  ๋ชจํ˜•์€ ํฌํ™”๋ชจํ˜•์œผ๋กœ ์ ํ•ฉ๋„๊ฐ€ ๊ณ„์‚ฐ๋˜์ง€ ์•Š์•„ ๋ชจํ˜•์˜ ๊ฐ„๋ช…์„ฑ์„ ์‹œ๋„ํ•˜์—ฌ ์ˆ˜์ •ํ•˜์˜€๋‹ค. ์ˆ˜์ •๋œ ๊ฐ€์„ค์  ๋ชจํ˜•์˜ ์ ํ•ฉ๋„ ์ง€์ˆ˜๋Š” ์ ํ•ฉ์ง€์ˆ˜ .99, ์กฐ์ •์ ํ•ฉ์ง€์ˆ˜ .97, ์ฆ๋ถ„์ ํ•ฉ์ง€์ˆ˜ .99, ํ‘œ์ค€์ ํ•ฉ์ง€์ˆ˜ .97 ๋กœ ๋ชจํ˜•์ด ์ž๋ฃŒ์™€ ๋ถ€ํ•ฉํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ€์„ค์  ๋ชจํ˜•์—์„œ ์„ค์ •ํ•œ ์ด 10๊ฐœ์˜ ์—ฐ๊ตฌ๊ฐ€์„ค ์ค‘ 7๊ฐœ์˜ ๊ฐ€์„ค์ด ์ง€์ง€๋˜์—ˆ๋‹ค. ํ‰๊ฐ€์˜ ๊ณต์ •์„ฑ ์ง€๊ฐ๊ณผ ์กฐ์ง๋ชฐ์ž…์€ ์กฐ์ง์„ฑ๊ณผ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ์ฃผ์—ˆ์œผ๋ฉฐ, ํ‰๊ฐ€์˜ ์ •ํ™•์„ฑ ์ง€๊ฐ์€ ์กฐ์ง๋ชฐ์ž…์„ ํ†ตํ•˜์—ฌ ์กฐ์ง์„ฑ๊ณผ์— ๊ฐ„์ ‘์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€์ˆ˜๋“ค์ด ์กฐ์ง์„ฑ๊ณผ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ์ •๋„๋Š” 38.4%์˜€๋‹ค. ์ฆ‰, ํ‰๊ฐ€์˜ ์ •ํ™•์„ฑ์„ ๋†’๊ฒŒ ์ง€๊ฐํ• ์ˆ˜๋ก ์กฐ์ง๋ชฐ์ž…์ด ๋†’์œผ๋ฉฐ, ์กฐ์ง๋ชฐ์ž…์ด ๋†’์„์ˆ˜๋ก ์กฐ์ง์„ฑ๊ณผ๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ํ‰๊ฐ€์˜ ๊ณต์ •์„ฑ์„ ๋†’๊ฒŒ ์ง€๊ฐํ• ์ˆ˜๋ก, ์กฐ์ง๋ชฐ์ž…์ด ๋†’์„์ˆ˜๋ก ์กฐ์ง์„ฑ๊ณผ๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•˜๋ฉด ์„ฑ๊ณผํ‰๊ฐ€์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์œ ํšจ์„ฑ ์ง€๊ฐ์ด ์กฐ์ง๋ชฐ์ž…๊ณผ ์ด์ง์˜๋„, ๊ทธ๋ฆฌ๊ณ  ์ตœ์ข…์ ์œผ๋กœ ์กฐ์ง์„ฑ๊ณผ์— ์˜ํ–ฅ๋ ฅ์ด ์žˆ์œผ๋ฏ€๋กœ, ์ˆ˜์ˆ ๊ฐ„ํ˜ธ์กฐ์ง์˜ ์„ฑ๊ณผ๋ฅผ ๋†’์ด๊ธฐ์œ„ํ•ด์„œ ์ˆ˜์ˆ ์‹ค ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์„ฑ๊ณผํ‰๊ฐ€์— ๋Œ€ํ•œ ์ •ํ™•์„ฑ๊ณผ ๊ณต์ •์„ฑ์„ ์ง€๊ฐํ•  ์ˆ˜ ์žˆ๋„๋ก ํšจ๊ณผ์ ์ธ ์„ฑ๊ณผํ‰๊ฐ€์‹œ์Šคํ…œ์˜ ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ ์กฐ์ง๋ชฐ์ž…์€ ํ‰๊ฐ€์˜ ์ •ํ™•์„ฑ์ง€๊ฐ๊ณผ ์กฐ์ง์„ฑ๊ณผ๋ฅผ ๋งค๊ฐœํ•˜๋ฏ€๋กœ, ๊ฐœ์ธ์˜ ์„ฑ๊ณผ๊ฐ€ ์กฐ์ง์˜ ์„ฑ๊ณผ๋กœ ๊ท€๊ฒฐ๋  ์ˆ˜ ์žˆ๋„๋ก ์ˆ˜์ˆ ์‹ค ๊ฐ„ํ˜ธ์‚ฌ์˜ ์กฐ์ง๋ชฐ์ž…์„ ๋†’์ด๊ธฐ ์œ„ํ•œ ์กฐ์ง์ฐจ์›์˜ ์ง€์›์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.Docto

    (The)Development and evaluation of a self-efficacy-based basic life support program for high-risk patients` family caregivers

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฐ„ํ˜ธํ•™๊ณผ ๊ฐ„ํ˜ธํ•™์ „๊ณต,2004.Docto

    ์ˆ˜๊ฐ„ํ˜ธ์‚ฌ์˜ ๋ณ€ํ˜์ -๊ฑฐ๋ž˜์  ๋ฆฌ๋”์‰ฝ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์ž์œจ์„ฑ ๋ฐ ์กฐ์ง๋ชฐ์ž…๊ณผ์˜ ๊ด€๊ณ„์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฐ„ํ˜ธํ•™๊ณผ ๊ฐ„ํ˜ธํ•™์ „๊ณต,2000.Maste

    ๋ฉ•์‹œ์ฝ”์˜ ์ž์ฃผ์™ธ๊ต์ •์ฑ… - 1931~1945๋…„๊ณผ 1970~1988๋…„์„ ์ค‘์‹ฌ์œผ๋กœ

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    ์ด ๋…ผ๋ฌธ์˜ ๋ชฉ์ ์€ 1931~1945๋…„๊ณผ 1970~1988๋…„ ๋‘ ์‹œ๊ธฐ ๋ฉ•์‹œ์ฝ” ์™ธ๊ต์ •์ฑ…์˜ ์–‘์ƒ๊ณผ ํŠน์ง•์„ ์‚ดํŽด๋ด„์œผ๋กœ์จ ์–ด๋– ํ•œ ๊ตญ์ œ์ , ๊ตญ๋‚ด์  ๋งฅ๋ฝ์ด ์•ฝ์†Œ๊ตญ ๋˜๋Š” ์ค‘์ง„๊ตญ์˜ ์ ๊ทน์  ์ž์ฃผ์™ธ๊ต๋ฅผ ๋งŒ๋“ค์–ด๋‚ด๋Š”์ง€๋ฅผ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ฉ•์‹œ์ฝ”์˜ ์™ธ๊ต์ •์ฑ…์€ 1920๋…„๋Œ€ ๋ง๋ถ€ํ„ฐ 1980๋…„๋Œ€ ๋ง๊นŒ์ง€ ๋ฒ•์›์น™์ฃผ์˜, ๋ถˆ๊ฐ„์„ญ์ฃผ์˜, ๋ฏผ์กฑ์ž๊ฒฐ์ฃผ์˜, ๋ถ„์Ÿ์˜ ํ‰ํ™”์  ํ•ด๊ฒฐ์ด๋ผ๋Š” ์›์น™ํ•˜์— ๊พธ์ค€ํžˆ ์ž์ฃผ์™ธ๊ต๋ฅผ ๊ณ ์ˆ˜ํ•ด์™”๋‹ค. ํŠนํžˆ, 1931~1945๋…„๊ณผ 1970~1988๋…„์€ ์†Œ๊ทน์  ์ž์ฃผ์™ธ๊ต๋ฅผ ๊ทน๋ณตํ•˜๊ณ  ์ ๊ทน์ ์ด๊ณ  ๋Šฅ๋™์ ์ธ ์ž์ฃผ์™ธ๊ต์ •์ฑ…์„ ํ‘œ๋ฐฉํ•œ ์˜ˆ์™ธ์  ์‹œ๊ธฐ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 1931~1945๋…„์˜ ์ ๊ทน์  ์ž์ฃผ์™ธ๊ต์ •์ฑ…์ด ํ˜๋ช…์ •๋ถ€์˜ ์„์œ ๊ตญ์œ ํ™” ์กฐ์น˜๋ผ๋Š” ์–ด๋ ค์šด ๊ฒฝ์ œ๊ฐœํ˜์— ๋Œ€ํ•œ ๋ฏธ๊ตญ์˜ ๊ฐ•ํ•œ ์••๋ ฅ๊ณผ ๊ฐœ์ž…์„ ์ œ์–ดํ•˜๋ ค๋Š” ๋ฐฉ์–ด์  ํŠน์ง•์„ ์ง€๋‹Œ ๋ฐ˜๋ฉด, 1970~1988๋…„์€ ๋ฉ•์‹œ์ฝ” ์ •๋ถ€๊ฐ€ ์ƒˆ๋กœ์šด ๊ตญ์ œ์ •์น˜๊ฒฝ์ œ์งˆ์„œ์— ๋Œ€ํ•œ ๋…์ž์  ๊ตฌ์ƒ์„ ์‹คํ˜„ํ•˜๋ ค๋Š” ๋ชฉ์ ์œผ๋กœ ์ œ3์„ธ๊ณ„๊ตญ๊ฐ€๋“ค๊ณผ ํ˜‘๋ ฅ๊ณผ ์—ฐ๋Œ€๋ฅผ ๋ชจ์ƒ‰ํ•˜๋Š” ์ ๊ทน์  ํŠน์ง•์ด ์žˆ๋‹ค๊ณ  ์ฃผ์žฅํ•˜๊ณ  ์žˆ๋‹ค

    ่˜‡่ปพๅฐๆตทๆฑๆฑŸ่ฅฟ่ฉฉๆดพ็š„ๅฝฑ้Ÿฟ

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    Emergency dispatching based on automatic speech recognition

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    In emergency dispatching at 119 Command &amp; Dispatch Center, some inconsistencies between the standard emergency aid system and dispatch protocol, which are both mandatory to follow, cause inefficiency in the dispatchers performance. If an emergency dispatch system uses automatic speech recognition (ASR) to process the dispatchers protocol speech during the case registration, it instantly extracts and provides the required information specified in the &apos;standard emergency aid system, making the rescue command more efficient. For this purpose, we have developed a Korean large vocabulary continuous speech recognition system for 400,000 words to be used for the emergency dispatch system. The 400,000 words include vocabulary from news, SNS, blogs and emergency rescue domains. Acoustic model is constructed by using 1,300 hours of telephone call (8 kHz) speech, whereas language model is constructed by using 13 GB text corpus. From the transcribed corpus of 6,600 real telephone calls, call logs with emergency rescue command class and identified major symptom are extracted in connection with the rescue activity log and National Emergency Department Information System (NEDIS). ASR is applied to emergency dispatchers repetition utterances about the patient information. Based on the Levenshtein distance between the ASR result and the template information, the emergency patient information is extracted. Experimental results show that 9.15% Word Error Rate of the speech recognition performance and 95.8% of emergency response detection performance are obtained for the emergency dispatch system.N
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