1. NCCU Academic Hub
  2. 學術產出
  3. Item

學術產出-會議論文

文章檢視/開啟

書目匯出

Google ScholarTM

政大圖書館

引文資訊

TAIR相關學術產出

題名 A Case Study into Collaborative Creation with Artificial Intelligence in Art Education in Taiwan
作者 劉俐華
Liu, Li-Hua;Chen, Tin-Kai
貢獻者 傳播學院
關鍵詞 Multimedia; Artificial Intelligence Generated Content; AIGC Collaboration; Creative Practice
日期 2024-07
上傳時間 15-十一月-2024 11:40:52 (UTC+8)
摘要 The exploration of Artificial Intelligence Generated Content (A.I.G.C.) in art education presents a transformative opportunity for multimedia programs, particularly within the Department of Comic Arts (D.C.A.), Tainan University of Technology, Taiwan. This paper delves into the dual studies conducted to assess the integration of A.I. art courses into academic curricula and develop cooperative production strategies using A.I.G.C. to enhance graphic computing. The primary objective of this research is to critically assess the benefits and impediments associated with the incorporation of A.I. art courses and to proffer strategic recommendations for their systemic integration into multimedia academic programs. The initial investigation aimed at integrating A.I.G.C. courses into the D.C.A. curriculum involved a series of AI-centric lectures and an extensive survey involving 92 students. The findings revealed a preference for elective A.I.G.C. courses, with most favoring lecture-based delivery over full curriculum integration. These results underscore the need for a balanced approach that respects traditional artistic values while embracing technological advancements. Furthermore, the second study focused on the “Summer Sunshine” project, employing Stable Diffusion and LoRA models to achieve high fidelity and consistency in manga production. This case study illustrated the practical efficiencies of A.I.G.C., from reducing manual labor to enhancing artistic quality, thereby setting new standards for A.I.'s role in graphic arts. Overall, the studies highlight the potential benefits and challenges of embedding A.I. art courses into curricula and demonstrate the effective use of A.I. in manga production through A.I.G.C. technologies. The findings from these investigations prompt broader discussions about the role of A.I. in art, advocating for policies that support ethical practices and nurture the coexistence of A.I. and traditional artistic methods.
關聯 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), IEEE
資料類型 conference
DOI https://doi.org/10.1109/QRS-C63300.2024.00160
dc.contributor 傳播學院
dc.creator (作者) 劉俐華
dc.creator (作者) Liu, Li-Hua;Chen, Tin-Kai
dc.date (日期) 2024-07
dc.date.accessioned 15-十一月-2024 11:40:52 (UTC+8)-
dc.date.available 15-十一月-2024 11:40:52 (UTC+8)-
dc.date.issued (上傳時間) 15-十一月-2024 11:40:52 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/154398-
dc.description.abstract (摘要) The exploration of Artificial Intelligence Generated Content (A.I.G.C.) in art education presents a transformative opportunity for multimedia programs, particularly within the Department of Comic Arts (D.C.A.), Tainan University of Technology, Taiwan. This paper delves into the dual studies conducted to assess the integration of A.I. art courses into academic curricula and develop cooperative production strategies using A.I.G.C. to enhance graphic computing. The primary objective of this research is to critically assess the benefits and impediments associated with the incorporation of A.I. art courses and to proffer strategic recommendations for their systemic integration into multimedia academic programs. The initial investigation aimed at integrating A.I.G.C. courses into the D.C.A. curriculum involved a series of AI-centric lectures and an extensive survey involving 92 students. The findings revealed a preference for elective A.I.G.C. courses, with most favoring lecture-based delivery over full curriculum integration. These results underscore the need for a balanced approach that respects traditional artistic values while embracing technological advancements. Furthermore, the second study focused on the “Summer Sunshine” project, employing Stable Diffusion and LoRA models to achieve high fidelity and consistency in manga production. This case study illustrated the practical efficiencies of A.I.G.C., from reducing manual labor to enhancing artistic quality, thereby setting new standards for A.I.'s role in graphic arts. Overall, the studies highlight the potential benefits and challenges of embedding A.I. art courses into curricula and demonstrate the effective use of A.I. in manga production through A.I.G.C. technologies. The findings from these investigations prompt broader discussions about the role of A.I. in art, advocating for policies that support ethical practices and nurture the coexistence of A.I. and traditional artistic methods.
dc.format.extent 109 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), IEEE
dc.subject (關鍵詞) Multimedia; Artificial Intelligence Generated Content; AIGC Collaboration; Creative Practice
dc.title (題名) A Case Study into Collaborative Creation with Artificial Intelligence in Art Education in Taiwan
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1109/QRS-C63300.2024.00160
dc.doi.uri (DOI) https://doi.org/10.1109/QRS-C63300.2024.00160