본문 바로가기 주메뉴 바로가기

전체메뉴

국회도서관 홈으로 정보검색 소장정보 검색

결과 내 검색

동의어 포함

초록보기

본 연구는 장애인 브랜딩을 목적으로 한 브랜드 웹툰 제작 과정에서 생성형 AI 도구 나노바나나2의 활용 가능성을 탐색하는 데 목적이 있다. 최근 장애인 인식 개선을 위한 교육 콘텐츠의 필요성이 증가하고 있으나, 제작 부담으로 인해 관련 콘텐츠 생산은 제한적인 상황이다. 특히 단편브랜드 웹툰은 짧은 분량 내에서 명확한 메시지를 전달해야 하므로 서사 구성과 연출에서 어려움이 발생한다. 이에 본 연구는 브랜드 웹툰 제작 수업 참여자를 대상으로 한 조사 결과를 바탕으로 단편 서사에 적합한 시놉시스 구조를 제안하였다. 제안된 구조를 나노바나나2에 적용하여 장애인 브랜드 웹툰을 제작하고, 제작 과정과 결과를 사례 중심으로 분석하였다. 분석 결과, 나노바나나2는 시놉시스 기반 이미지 생성과 한글 텍스트 재현에서 비교적 높은 효율성을 보였으며, 제작 시간과 기획 부담을 유의미하게 감소시키는 것으로 나타났다. 본 연구는 생성형 AI가 교육 목적의 브랜드 웹툰 제작을 지원하는 보조 도구로 활용될 수 있음을 시사한다.

This study investigates the applicability of the generative AI tool Nanobanana2 in producing educational brand webtoons for disability branding. Although the demand for disability awareness content is increasing, content production remains limited due to creative and planning burdens.

Short-form brand webtoons, in particular, require efficient narrative structuring within constrained formats. Based on a survey of students participating in brand webtoon production courses, this study proposes a synopsis structure suitable for short narratives. The proposed structure was applied to Nanobanana2 to generate disability-themed brand webtoons, and the production process was analyzed through case studies. The results indicate that Nanobanana2 demonstrates high efficiency in synopsis-based image generation and Korean text reproduction, significantly reducing production time and planning workload. These findings suggest that generative AI can serve as an effective supportive tool for educational brand webtoon production rather than replacing creative authorship.

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
(An) efficient simultaneous thermal and electrical state estimation for preventive maintenance of PV-ESS in low-temperature environments : a case study of LSTM/transformer Yong-Je Ko, Ho-Young Kwak p. 1-8
Adversarial noise-based speaker de-identification for cloud speech services Haram Kang, Sangwoon Yun, Jemin Ahn, Kyungtae Kang p. 9-19
Semantic tabular-to-image conversion and contrastive learning for lightweight intrusion detection Jun Yeong Park, Kunwoo Kang, Hoin Lee, Seungeun Lee, Yu Rang Park p. 21-35
Transformer based arrival time prediction for a target bus stop using single stop information Ga-On Cheon, Young-Sup Hwang p. 37-48
Training-free feature-level interpolation with sparse-backbone scheduling for YOLO detection in low-FPS video Min-Ho Kim, Kyu-Cheol Cho p. 49-59
Band-attention BFE-Net for subject-independent EEG emotion recognition Yujin Ji, Jungpyo Hong p. 61-69
CNN-based thread defect detection system for manufacturing process automation Yeong-Seo Lee, Seongbae Eun, Dong-beom Shin, Jae-Heum Lee p. 71-78
(A) comparative study on the explainability and efficiency of foundation models in prompt-based sentiment analysis Misun Lee p. 79-87
Time-period-aware difficulty assessment and modeling framework for improved building energy consumption prediction Yong-Je Ko, Ho-Young Kwak p. 89-96
Android malware classification using an edge-centric graph isomorphism network Yeeun Lee, Hyeona Jang, Hanseul Jung, Eunjung Choi p. 97-106
Edge-cloud pet behavior monitoring system based on on-device encoding anonymization Hyuksoon Choi, JinHwan Yang, Nammee Moon p. 107-116
Asymmetric soft prompt–RAG interactions in liquid vs. transformer lightweight LLMs : an empirical study on SBA policy QA Jun Oh Cheong, Hyunchul Ahn p. 117-125
(An) empirical study on adoption and purchase intentions for imported electric vehicles based on innovation diffusion theory Jihoon Choi, Junghwan Kim, Sangkue Park, Sungkap Park, Dongsu Lee p. 127-137
(A) Korean movie genre prediction model using multi-representation learning Jong-Hyun Kim p. 139-147
(The) impact of background music in dramas on viewers’ emotions and immersion, mood Sang-Sik Choi, Jae-Im Yun p. 149-160
Privacy concerns in online media usage : a comparative study across gender and age groups Sang Dol Kim p. 161-168
Parameter importance analysis of a bio-signal-based crisis recognition model using explainable artificial intelligence Joon-Yong Kim p. 169-177
(A) study on object-oriented standard architecture for export-oriented IFF display software in naval combat systems Sung-Uk Jo, Su-Seok Park, Young-San Kim p. 179-189
User satisfaction with electronic record systems in long-term care facilities Se Young Kim, Haejin Kim, Jungpyo Hong, Mi Kyung Kim p. 191-197
Research on KS standard-based outlier classification and intelligent cleaning framework for smart greenhouse sensor data Kyeong-il Ko, Byeongbeom Kang, Hyun Yoe p. 199-208
Comparison of perioperative hemoglobin changes by anesthesia type and measurement method in hip surgery Je Bog Yoo p. 209-217
(A) study on digital transformation and AI advancement strategy in customs administration : comparative analysis of KCS, CBP, EUCA and GACC Beom-Soo Shin p. 219-225
Factors influencing online broadcast paid sponsorship intentions based on gift-giving and customer value models Hyun Jin Yeo p. 227-232
(A) study on the potential use of generative AI “Nano Banana 2” in the production of disability-focused brand webtoons Sang-Hwa Lee, Byong-Kwon Lee, Na-ra Jung p. 233-240