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임연환 교수

Yun-hwan Lim

연세대학교 물리학과 · 컴퓨터과학

연구실 소개

임연환 교수의 연구실은 인공지능 기반의 콘텐츠 생성 기술을 활용해 고전 영미문학을 어린이 대상으로 재탄생시키는 데 초점을 맞추고 있습니다. 특히 생성형 AI를 활용한 텍스트 변환과 시각적 일러스트 제작을 통해 어린이가 쉽게 이해하고 즐길 수 있는 보다 친근한 문학 콘텐츠를 개발하고 있습니다. 또한, 게임 기반의 AI 스토리텔링 환경를 구축해 사용자 몰입도와 경험 품질을 실증적으로 분석하는 연구도 진행 중입니다. 이는 AI 기술이 창작과 교육 분야에 어떻게 융합될 수 있는지를 탐색하는 학문적 시도입니다.

생성형 AI어린이 문학콘텐츠 변환게임 기반 스토리텔링몰입도 평가

연구 현황

논문 수
7
총 인용 수
50
최근 5년 논문
7
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
7총합
2018
2019
2025
5개년 연도별 피인용 수
50총합
201820192025

주요 논문

7
1
논문|인용수 34·2018
Improvement of radiographic visibility using an image restoration method based on a simple radiographic scattering model for x-ray nondestructive testing
Kyung Soo Kim, Seokyoon Kang, Won Shik Kim, H.S. Cho, Chulkyu Park, D.Y. Lee, G.A. Kim, Sung Yoon Park, Hyunwoo Lim, H.W. Lee, J.E. Park, Duhee Jeon
SJR Q1NDT & E International
Computer Vision and Pattern RecognitionComputer Science
2
논문|인용수 13·2018
Eliminating artifacts in single-grid phase-contrast x-ray imaging for improving image quality
Hye Won Lee, Hyunwoo Lim, Duhee Jeon, C. K. Park, D.Y. Lee, H. S. Cho, Changwoo Seo, Keun Su Kim, Gunjoong Kim, S. Y. Park, Seokyoon Kang, J. E. Park
SJR Q1Computers in Biology and Medicine
RadiationPhysics and Astronomy
3
논문|인용수 2·2018
Dictionary-learning-based image deblurring for improving image performance in x-ray nondestructive testing
G.A. Kim, Kyung Sik Kim, Chulkyu Park, D.Y. Lee, H.S. Cho, C. Seo, Seokyoon Kang, Hyunwoo Lim, H.W. Lee, Sung Yoon Park, J.E. Park, Duhee Jeon
SJR Q2Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
Computer Vision and Pattern RecognitionComputer Science
4
논문|인용수 1·2025
Transformation of Classic English and American Literature into Children's Literature Using Artificial Intelligence <Focusing on Text and Image Generation Models>
Jeongmin Ahn, Y.H. Lim
Asia-pacific Journal of Convergent Research InterchangeOA

This study aims to explore the possibility of transforming classic English and American literature into children's literature using artificial intelligence technology.Traditional classic literary works often contain deep themes and complex narratives, making them difficult for children to understand.This study investigates methods for converting Classic English and American literature into a child-friendly writing style using generative AI technology and creating illustrations to complement the

Public Health, Environmental and Occupational HealthMedicine
5
논문|인용수 0·2025
3D reconstruction of underwater objects using NeRF
Y.H. Lim, Nakwan Kim, Joohyun Woo
Journal of Advanced Marine Engineering and TechnologyOA
Mechanical EngineeringEngineering
6
논문|인용수 0·2019
Sparse-view virtual monochromatic computed tomography reconstruction using a dictionary-learning-based algorithm
G.A. Kim, J.E. Park, Chulkyu Park, D.Y. Lee, Sung Yoon Park, Keun Su Kim, Seokyoon Kang, H.S. Cho, C. Seo, Hyunwoo Lim, H.W. Lee, Duhee Jeon
SJR Q2Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
Biomedical EngineeringEngineering
7
논문|인용수 0·2025
A Study on Player Immersion in Text-Based Simulation Games Using Generative AI
Yu Jin Lee, Y.H. Lim
Asia-pacific Journal of Convergent Research InterchangeOA

This study aims to empirically investigate the impact of Generative AI on player immersion and overall experience by developing a text-based simulation game in which AI automatically generated narratives and NPC dialogues.Four key evaluation indicators, 'immersion, NPC dialogue quality, user experience, and enjoyment' were established.To this end, an online survey was conducted, and the collected data were analyzed using SPSS through reliability analysis, one-sample and paired-sample Ttests, and

Artificial IntelligenceComputer Science

대표 연구 분야

Computer Vision and Pattern RecognitionRadiationPublic Health, Environmental and Occupational HealthBiomedical EngineeringArtificial IntelligenceMechanical Engineering

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