통역 사용자를 대상으로 한 통역 모드 선호도 조사: 인간 통역, AI 통역, 자막 비교
A Survey of Interpreting Services Users about Preferences for Interpreting Modes: Human vs. AI vs. Subtitles
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this study, a survey was conducted of users of interpreting services to find out which mode of interpreting they preferred the most. Forty Korean employees of a foreign financial institution in Korea, who work with interpreters on a regular basis, participated in this study. Participants were instructed to answer questions on two different settings of interpreting: conference and in-house interpreting. In the conference interpreting setting, participants were asked to choose between human interpreting, AI interpreting and subtitles after watching an English speech with the three modes of interpreting into Korean. They liked subtitles the most, followed by human interpreting, and AI was the least preferred. Accuracy of interpreting was found not to be a decisive factor in user preferences because AI was the least preferred despite being the most accurate. That said, accuracy still influenced their choice as participants preferred human interpreters more when they were more accurate. The reasons participants chose human interpreters over AI included natural tone and comfortable voice. In the in-house interpreting setting where the choice was between human and AI interpreting, human interpreters were favored over AI for their ability to engage in open discussions, their knowledge of the internal matters of the company, etc. These results show that user preferences are influenced by a variety of non-linguistic factors while users certainly value accuracy of interpreting. This suggests that it is the very human qualities that give human interpreters a competitive advantage over AI, and that there is still significant demand for these uniquely human roles.
Abstract
In this study, a survey was conducted of users of interpreting services to find out which mode of interpreting they preferred the most. Forty Korean employees of a foreign financial institution in Korea, who work with interpreters on a regular basis, participated in this study. Participants were instructed to answer questions on two different settings of interpreting: conference and in-house interpreting. In the conference interpreting setting, participants were asked to choose between human interpreting, AI interpreting and subtitles after watching an English speech with the three modes of interpreting into Korean. They liked subtitles the most, followed by human interpreting, and AI was the least preferred. Accuracy of interpreting was found not to be a decisive factor in user preferences because AI was the least preferred despite being the most accurate. That said, accuracy still influenced their choice as participants preferred human interpreters more when they were more accurate. The reasons participants chose human interpreters over AI included natural tone and comfortable voice. In the in-house interpreting setting where the choice was between human and AI interpreting, human interpreters were favored over AI for their ability to engage in open discussions, their knowledge of the internal matters of the company, etc. These results show that user preferences are influenced by a variety of non-linguistic factors while users certainly value accuracy of interpreting. This suggests that it is the very human qualities that give human interpreters a competitive advantage over AI, and that there is still significant demand for these uniquely human roles.
참고문헌 (29)
- 김순미, "언택트 시대, 원격통역이 주는 도전과 기회 - 한국통번역사협회(KATI) 설문조사를 중심으로", 통번역학연구, 24(4), pp.1~33 (2020), 통번역연구소[DOI]
- 김승희, "자동통역기술, 서비스 및 기업 동향", ETRI 전자통신동향 분석, 29(4), pp.39~48 (2014)
- 최은실, "한-영 실시간 자동통역 시연 사례 고찰", 통번역교육연구, 18(2), pp.125~147 (2020), 한국통번역교육학회[DOI]
- 김양순, "기계번역과 인간번역의 혼합적 접근법", 문화기술의 융합, 8(1), pp.239~244 (2022), 국제문화기술진흥원
- 김혜원, "통역사의 음성이 통역의 질에 미치는 영향 고찰 - 한-일 통역을 중심으로 -", 통번역학연구, 11(1), pp.17~30 (2007), 통번역연구소
- 남신혜, "한국어 학습자의 온라인 기계번역 도구 사용 경험 및 태도에 관한 연구 - 초급 및 중급 학습자를 대상으로 -", 언어와 문화, 15(2), pp.55~81 (2019), 한국언어문화교육학회[DOI]
- 윤여범, "한영 기계번역 발전 현황에 대한 문헌연구", 한국초등교육, 34(1), pp.1~15 (2023), 초등교육연구원
- 이상민, "L2 작문 수정에 미친 기계번역의 효과성에 대한 한국 대학생 학습자의 인식", 멀티미디어 언어교육, 22(4), pp.206~225 (2019), 한국멀티미디어언어교육학회[DOI]
- 이주리애, "자동음성인식의 통역 활용에 관한 예비연구", 인문사회 21, 12(5), pp.2407~2422 (2021), 인문사회 21
- 이창수, "한-영 신문사설 번역에서 나타나는 인간번역과 기계번역 간의 어휘 사용 차이 연구", 통역과 번역, 22(1), pp.245~262 (2020), 한국통역번역학회[DOI]
- 이혜승, "동시통역 품질 평가에 대한 경험적 연구 고찰", 통번역학연구, 12(1), pp.91~107 (2008), 통번역연구소
- 장애리, "국내 기계 통번역의 발전 현황 분석: 한·중 언어 쌍을 중심으로", 번역학연구, 18(2), pp.171~206 (2017), 한국번역학회[DOI]
- 장애리, "중국의 인공지능(AI) 통역 발전 현황 분석", 번역학연구, 20(5), pp.163~195 (2019), 한국번역학회[DOI]
- 장애리, "원격통역 시대에 필요한 통역능력에 대한 소고", 통역과 번역, 23(1), pp.213~236 (2021), 한국통역번역학회[DOI]
- 조남성, "한국인 일본어 학습자와 한일 기계번역의 어휘 오류 비교 연구", 일본연구, (30), pp.197~216 (2011), 일본연구소
- 최문선, "통역4.0: 원격통역의 규범과 실제", 번역학연구, 22(1), pp.279~312 (2021), 한국번역학회[DOI]
- 최문선, "기계와 협업하는 인간 통역 - 컴퓨터 보조 통역(computer-assisted interpreting)의 최근 기술 동향", 통번역학연구, 26(2), pp.133~163 (2022), 통번역연구소[DOI]
- 최문선, "AI 기반 실시간 통역 보조 시스템 개발을 위한 예비 연구: 원문의 숫자 정보 제시를 중심으로", 번역학연구, 23(4), pp.9~35 (2022), 한국번역학회[DOI]
- 편혜원, "원격동시통역(RSI)의 속성과 통역사의 적응 - 슈로스버그의 전환모형을 중심으로", 통번역학연구, 26(2), pp.165~189 (2022), 통번역연구소[DOI]
- Corpas Pastor, Gloria, "Tools for Interpreters : The Challenges That Lie Ahead", Current Trends in Translation Teaching and Learning E, 5, pp.157~182 (2018)
- Defrancq, Bart, "Automatic Speech Recognition in the Booth: Assessment of System Performance, Interpreters’ Performances and Interactions in the Context of Numbers", Target, 33(1), pp.73~102 (2021)
- Guo, Meng, "Computer-Assisted Interpreting Tools : Status Quo and Future Trends", Theory and Practice in Language Studies, 13(1), pp.89~99 (2023)
- Horváth, Ildikó, "I in Interpreting: Ethical Considerations", Across Languages and Cultures, 23(1), pp.1~13 (2022)
- Vieira, Lucas Nunes, "Machine Translation in Society : Insights from UK Users", Language Resources and Evaluation, 57(2), pp.893~914 (2022)
- "챗GPT로 사라질 위기 직업군 1위, 번역가⋅통역사…세무사⋅회계사 4위" (2023)[URL]
- "Questionnaire on ‘Artificial Intelligence and Interpreters: What Lies in Store for Us?" (2021)[URL]
- "Thoughts on the Quality of Interpretation" (2015)[URL]
- "The Jobs Most Exposed to ChatGPT"[URL]