초록 ▼

Ⅳ. 연구개발결과
1. 최종목표 달성결과
최종 색변환 기술 개발:
개선점-1. 사물 고유의 정보 왜곡
2. 색상 차별성 강조에 의한 색채 정보 왜곡의 심화
3. 사용자의 낮은 감성적 만족도
4. 쉬운 접근성과 실용화된 이용편의성
장점-1. 사물 고유의 정보 왜곡 최소화
2. 색상 차별성 강조에 의한 색채 정보 왜곡의 완화
3. 사용자의 높은 감성적 만족도
4. App적용 방식으로 쉬운

Ⅳ. 연구개발결과
1. 최종목표 달성결과
최종 색변환 기술 개발:
개선점-1. 사물 고유의 정보 왜곡
2. 색상 차별성 강조에 의한 색채 정보 왜곡의 심화
3. 사용자의 낮은 감성적 만족도
4. 쉬운 접근성과 실용화된 이용편의성
장점-1. 사물 고유의 정보 왜곡 최소화
2. 색상 차별성 강조에 의한 색채 정보 왜곡의 완화
3. 사용자의 높은 감성적 만족도
4. App적용 방식으로 쉬운 접근성확보 및 실용화된 이용편의성
신기술개발완료(미국특허출원달성/ 국내특허 출원 4건/ 지재권 등록 2건/ 논문 5건 등 관련 연구 성과에 의한 최종 기술개발 완료)
*Imago Vision(Android App: Google 출시)
2. 세부 결과물
- 감각왜곡 및 감성왜곡 실태의 정보 및 상관관계에 의한 분석 결과 자료 문서
- 색각이상자들의 문화콘텐츠 활용 현황 및 컬러유니버설디자인 현황 보고 문서
- 색각이상 유형별 웹 컬러팔레트 및 배색모델
- 색공간 변환 알고리즘 구현 기술 문서
- 색각이상자들의 UX 현황 보고 문서
- 색각이상자를 위한 지능형 색변환 가이드라인 문서
- 신기술 적용 시제품의 만족도 검증 자료 문서
- 문화콘텐츠 유형별 컬러유니버설 가이드라인 및 E-Book
- 최적화 알고리즘 개발 및 구현 기술 문서
- 시간 일관성 보장 알고리즘 기술 문서
- UX 설계 적용 감성기반 지능형 색변환 프로그램

Abstract ▼

In this research an intelligent color transformation service technology was developed to increase the usability of cultural contents for color deficient people (CDP), who cannot detect the color information correctly because one or two of their cone cells are absent or weak. The color transformation

In this research an intelligent color transformation service technology was developed to increase the usability of cultural contents for color deficient people (CDP), who cannot detect the color information correctly because one or two of their cone cells are absent or weak. The color transformation technology that minimizes the emotion distortion by minimizing the distortion of color information is important for CDP’s emotional satisfaction especially when the technology is applied to smart devices to enjoy cultural contents more easily. Previous researches mainly focused on enhancing the color discrimination. Such an approach might help CDP to discrimination information but could decrease the emotional satisfaction.
Therefore, in this research, at first the degree of emotion information distortion occurred to CDP were investigated to develop the color transformation algorithm for CDP to increase the cognitive and also emotional satisfaction. Then the algorithm was optimized for each type (P-type, D-type) and degree (High, Middle, Low) of color deficiency based on theintensive clinical experiments. Finally, the UX-based color transformation application program was developed considering the usability and user’s emotion and experience.
This research was conducted for two years. In the first year, CDP’s current status in terms of emotion, color and design were surveyed and analyzed and the optimized method to correct the emotion and information distortion occurred to CDP was proposed. In the second year, researches to enhance the CDP’s satisfaction by correcting the information distortion and optimize the algorithm were conducted.
As result outcomes, color universal design guideline for each color deficient type was developed based on CDP’s emotion distortion measurement method. The optimization based high quality real-time color transformation technique was developed. UX-based application software (App-based intelligent color transformation S/W) named Imago Vision (Android App) was developed and registered at Google store. Also various patents, intellectual properties, research papers and reports were produced