지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 307 - 314 (8page)
이용수
초록· 키워드
오류제보하기
Despite ongoing efforts to reduce safety accidents in construction, fatalities on construction sites still account for more than half of all industrial accidents. Construction safety signs are essential for safety management, as they raise awareness of potential risks and improve situational awareness. However, many current safety signs have outdated designs and ineffective visuals, limiting their ability to enhance hazard recognition. Research from other fields shows that safety signs incorporating dynamic optical illusions can significantly boost worker vigilance. Developing these signs, however, is resource-intensive and often influenced by designer subjectivity. Generative artificial intelligence (AI) offers an efficient alternative by producing numerous design options with minimal effort. This study evaluates the feasibility of using generative AI to create optical illusion construction safety signs and compares their effectiveness in preventing accidents with existing signs. The results show that the newly designed signs improve readability and other key factors. These findings suggest that generative AI can play a vital role in enhancing construction safety and improving current safety practices.
목차
Abstract
1. 서론
2. 문헌고찰
3. 방법론
4. 결과 및 분석
5. 결론
REFERENCES
참고문헌 (18)
참고문헌 신청
Archana Balkrishna, Y. (2024). An Analysis on the Use of Image Design with Generative AI Technologies. International Journal of Trend in Scientific Research and Development, 8(1), 596-599.
Chan, K. L., & Chan, A. H. (2011). Understanding industrial safety signs: implications for occupational safety management. Industrial Management & Data Systems, 111(9), 1481-1510.
Choi, J. I., & Lee, T. I. (2024). Analysis of user experience characteristics in visualization service UI/UX design using Generative AI. Proceedings of HCI Korea, 284-290.
Choi, W. J. (2024). Design Process of Public Facilities using Generative AI. (Master's dissertation, Cheong Ju University)
Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2023). A survey of Generative AI Applications. arXiv preprint arXiv:2306.02781.
Chan, K. L., & Chan, A. H. (2011). Understanding industrial safety signs: implications for occupational safety management. Industrial Management & Data Systems, 111(9), 1481-1510.
Choi, J. I., & Lee, T. I. (2024). Analysis of user experience characteristics in visualization service UI/UX design using Generative AI. Proceedings of HCI Korea, 284-290.
Choi, W. J. (2024). Design Process of Public Facilities using Generative AI. (Master's dissertation, Cheong Ju University)
Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2023). A survey of Generative AI Applications. arXiv preprint arXiv:2306.02781.
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