Youngeun Yu
ABSTRACT
Due to the characteristics of artificial intelligence, we believe the interaction process between AI and its creator can facilitate generating inspiration and creativity. Thus, we experimented in the most humanistic environment to explore whether it is possible for machines to intervene in the creation of human-like emotions, formed through culture and history. We also explored how artificial intelligence could broaden the creator’s scope of creative thinking and how useful it is for artistic creation. Hence, we set the theme of ‘Han’ which is a unique emotion that exists only in Korea. ‘Han’ is an extremely abstract and empirical emotion that originates from Korean history. In this study, we have created ethnic and cultural values through the co-creation process of AI and humans. Using a song created from the results of the above process, we surveyed 128 people and conducted in-depth interviews [4, 10] with four experts and artists to verify that this approach is effective for generating content that carries cultural values. Through this study, we came to two conclusions. First, with the Human-AI co-creation process, it is possible to make a cultural creation that people from the specific culture can actually sympathize with. Second, through this process, the composer can work faster and more effectively as well as getting more inspiration from sample tunes created by the AI. Further study will be conducted to determine whether this result is also valid in other general cases and to assure that this process can help artists to create a creation that holds cultural values.
- Kate Crawford and Trevor Paglen. 2019. Excavating AI: The politics of images in machine learning training sets. AI and Society (2019).Google Scholar
- Gerhard Fischer and Kumiyo Nakakoji. 1994. Amplifying designers’ creativity with domain-oriented design environments. In Artificial Intelligence and Creativity. Springer, 343–364.Google Scholar
- Zachary Graber and William Henrion. 2021. Music For Me. (2021).Google Scholar
- Lisa Ann Guion, David C Diehl, and Debra McDonald. 2001. Conducting an in-depth interview. University of Florida Cooperative Extension Service, Institute of Food and ….Google Scholar
- Cheng-Zhi Anna Huang, Hendrik Vincent Koops, Ed Newton-Rex, Monica Dinculescu, and Carrie J Cai. 2020. AI Song Contest: Human-AI co-creation in songwriting. arXiv preprint arXiv:2010.05388(2020).Google Scholar
- Rujing Huang, Bob LT Sturm, and André Holzapfel. 2021. DE-CENTERING THE WEST: EAST ASIAN PHILOSOPHIES AND THE ETHICS OF APPLYING ARTIFICIAL INTELLIGENCE TO MUSIC. In International Society for Music Information Retrieval Conference, ISMIR.Google Scholar
- Pegah Karimi, Kazjon Grace, Mary Lou Maher, and Nicholas Davis. 2018. Evaluating creativity in computational co-creative systems. arXiv preprint arXiv:1807.09886(2018).Google Scholar
- Zhuying Li, Yan Wang, Wei Wang, Stefan Greuter, and Florian’Floyd’ Mueller. 2020. Empowering a creative city: engage citizens in creating street art through human-ai collaboration. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1–8.Google ScholarDigital Library
- Maryon McDonald, Anthony P Cohen, Ronald J Frankenberg, RD Grillo, Teresa San Román, Moshe Shokeid, and Alex Weingrod. 1986. Celtic ethnic kinship and the problem of being English [and Comments and Replies]. Current Anthropology 27, 4 (1986), 333–347.Google ScholarCross Ref
- Zaharia Rodica Milena, Grundey Dainora, and Stancu Alin. 2008. Qualitative research methods: A comparison between focus-group and in-depth interview. Analele Universităţii din Oradea (2008), 1274.Google Scholar
- Arthur I Miller. 2019. The artist in the machine: the world of AI-powered creativity. Mit Press.Google Scholar
- Peter Mitrano, Arthur Lockman, James Honicker, and Scott Barton. 2017. Using recurrent neural networks to judge fitness in musical genetic algorithms. In Proceedings of the 5th International Workshop on Musical Metacreation (MUME) at the 8th International Conference on Computational Creativity (ICCC), Vol. 6.Google Scholar
- Hiroyuki Osone, Jun-Li Lu, and Yoichi Ochiai. 2021. BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ Creativity in Japanese. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 1–10.Google ScholarDigital Library
- Minhyang Suh, Emily Youngblom, Michael Terry, and Carrie J Cai. 2021. AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music Composition. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–11.Google ScholarDigital Library
- Ferdinand Sutterlüty. 2006. The belief in ethnic kinship: a deep symbolic dimension of social inequality. Ethnography 7, 2 (2006), 179–207.Google ScholarCross Ref
- Lidia Varbanova. 2007. Our creative cities online. The Creative City: Crossing Visions and New Realities in the Region (2007), 9.Google Scholar
- Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, and Mohammad Shidujaman. 2021. AI Creativity and the Human-AI Co-creation Model. In International Conference on Human-Computer Interaction. Springer, 171–190.Google Scholar
- Catherine Zimmer and Howard Aldrich. 1987. Resource mobilization through ethnic networks: Kinship and friendship ties of shopkeepers in England. Sociological perspectives 30, 4 (1987), 422–445.Google ScholarCross Ref
- 김영필. 2004. 한국인의 한에 대한 현상학적 분석. 철학연구 92(2004), 115–136.Google Scholar
- 이재호. 2021. 한국인의 세대별 한(恨) 표상의 차이. 한국심리학회지:일반 40, 3 (2021), 269–299. https://doi.org/10.22257/kjp.2021.9.40.3.269Google Scholar
- 최원선. 2010. Characteristics of Han as a Cognitive Cultural Concept in Korea. 우리춤과 과학기술 6, 3 (2010), 9–48.Google Scholar
Index Terms
- Human-AI Co-creation Practice to Reconfigure the Cultural Emotion : Han
Recommendations
Conceptual Recombination: A method for producing exploratory and transformational creativity in creative works
Computational creativity researchers have long been searching for a reliable creative method of generating transformational creativity in Creativity Support Tools, in vain, especially when these systems are supposed to take in a user's unfinished ...
Application Model Construction of Intangible Cultural Heritage Dissemination in Film and Television Art Creation in Postepidemic Era
Intangible cultural heritage is the inheritance of a national traditional culture and a memory symbol of a national cultural spirit. It tells the timeless cultural journey of an ancient nation with an invisible spiritual force. Strengthening the publicity ...
ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-Creation
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsThe rapid advancement of AI-generated content (AIGC) promises to transform various aspects of human life significantly. This work particularly focuses on the potential of AIGC to revolutionize image creation, such as photography and self-expression. We ...
Comments