Open Journal Systems

Publication Frequency

Semi-annual

Journal Articles

Search scope

Journal Center

Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

more

Volume Arrangement

2024

2023

more

Featured Articles

Content creation or interpolation: AI generative digital art in the classroom

The integration of generative artificial intelligence (AI) tools in art and design has disrupted the traditional creative landscape, leading to debates on the legitimacy of AI-generated art and the emergence of new markets such as non-fungible tokens (NFTs). The US Copyright Office’s February 21, 2023, ruling withdrawing copyright protection for AI-generated comic artwork, while protecting the accompanying text and arrangement, highlights the contested nature of AI art and suggests that significant human intervention in the creative process will be required for monetization. Whether considered content interpolation or content creation, AI generative content for the creation of art and design is here with human-AI collaboration. To explore the potential of AI tools in creative practice, this study introduced students in a digital art course to Craiyon and Midjourney generative AI tools, with DALL-E 2 selected as the primary tool due to its varied output. The students were tasked with selecting a preferred prompt from one tool and then reproducing the output from both tools. The results revealed significant variations in replicating the outputs of different AI tools and limited exploration of prompt engineering, leading to restrictions in the iterative process of artmaking. The students agreed that generative AI tools are not a substitute for human creativity and should be used for final projects. The study demonstrates the potential and limitations of integrating AI tools in art and design and suggests the need for further research in developing effective prompt engineering strategies.

From motion to magic: Real-time virtual-real stage effects via 3D motion capture

Immersive cultural performances with virtual-real fusion effects are the future development trend in the exhibition and stage industry. However, current virtual-real stage performances heavily rely on traditional sequential design and arrangements. During the performance, actors must move to specific positions based on the musical beat and execute predetermined actions with a pre-designed amplitude and frequency to synchronize with the fixedly played stage visual effects; otherwise, major performance accidents such as plot inconsistencies or continuity errors may occur. To address the problem, this paper introduces a real-time generation system for stage visual effects based on multi-view multi-person 3D motion capture. The system utilizes multi-view 3D motion capture technique to achieve non-intrusive real-time interaction perception of target actors in the stage space. By perceiving the spatial position and performance actions of the target actors, corresponding stage visual effects are generated in real-time. This is followed by the seamless integration of sound effects and immersive high-definition display, ultimately realizing multidimensional real-time interaction between real actors and virtual visual effects in the stage space. We conducted an experimental virtual-real stage performance, lasting approximately two minutes, in a physical theater to validate the effectiveness of our proposed method. The experiment not only produced a unique innovative effect of blending stage and technology but also effectively enhanced the sense of presence and interactivity of the stage performance, providing actors with more freedom and control in their performances.

Generative AI tools in art education: Exploring prompt engineering and iterative processes for enhanced creativity

James Hutson, Peter Cotroneo

Article ID: 2164
Vol 4, Issue 1, 2023

DOI: https://doi.org/10.54517/m.v4i1.2164

Received: 10 May, 2023; Accepted: 26 May, 2023; Available online: 5 June, 2023;
Issue release: 30 June, 2023

VIEWS - 18061 (Abstract)

Download PDF

Abstract

The rapid development and adoption of generative artificial intelligence (AI) tools in the art and design education landscape have introduced both opportunities and challenges. This timely study addresses the need to effectively integrate these tools into the classroom while considering ethical implications and the importance of prompt engineering. By examining the iterative process of refining original ideas through multiple iterations, verbal expansion, and the use of OpenAI’s DALL-E2 for generating diverse visual outcomes, researchers gain insights into the potential benefits and pitfalls of these tools in an educational context. Students in the digital at case study were taught prompt engineering techniques and were tasked with crafting multiple prompts, focusing on refining their ideas over time. Participants demonstrated an increased understanding of the potential and limitations of generative AI tools and how to manipulate subject matter for more effective results. The iterative process encouraged students to explore and experiment with their creative ideas, leading to a deeper understanding of the possibilities offered by AI tools. Despite acknowledging the ethical concerns regarding copyright and the potential replacement of artists, students appreciated the value of generative AI tools for enhancing their sketchbooks and ideation process. Through prompt engineering and iterative processes, students developed a more detail-oriented approach to their work. The challenge of using AI-generated images as final products was conceptually intriguing, requiring further investigation and consideration of the prompts. This study highlights the potential benefits and challenges of integrating generative AI tools into art and design classrooms, emphasizing the importance of prompt engineering, iterative processes, and ethical considerations as these technologies continue to evolve.

Keywords

generative AI tools; prompt design; art and design curriculum; ethical usage of AI; AI integration in artmaking

References

1. DelSignore P. The new age of creative AI began in 2022 [Internet]. 2022 [updated 2022 Dec 24; cited 2023 Apr 6]. Available from: https://medium.com/predict/the-new-age-of-creative-ai-began-in-2022-ece07bb93350.

2. Ansari T. How AI transformed the art world in 2022 [Internet]. 2022 [update 2022 Oct 30; cited 2023 Apr 8]. Available from: https://analyticsindiamag.com/how-ai-transformed-the-art-world-in-2022/.

3. Murphy BP. Is lensa AI stealing from human art? An Expert Explains the Controversy [Internet]. 2022 [update 2022 Dec 15; cited 2023 Apr 8]. Available from: https://www-sciencealert-com.cdn.ampproject.org/c/s/www.sciencealert.com/is-lensa-ai-stealing-from-human-art-an-expert-explains-the-controversy/amp.

4. Hazucha B. Artificial intelligence and cultural production: Possible impacts on Creativity and Copyright Law [Internet]. 2022 [update 2022 Feb 6; cited 2023 Apr 6]. Available from: https://ssrn.com/abstract=4028106.

5. Francke E, Bennett A. The potential influence of artificial intelligence on plagiarism: A higher education perspective. In: Griffiths P, Kabir MN (editors). European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR 2019); 2019 Oct 31–Nov 1; Oxford. New York: Academic Conferences and Publishing International Ltd.; 2019. p. 131–140.

6. Sherry B. 3 Limits to artificial intelligence’s creativity (and how to solve them): Here’s what you need to know about harnessing A.I. technology to be more creative [Internet]. 2022 [update 2022 Dec 16; cited 2023 Apr 7]. Available from: https://www.inc.com/ben-sherry/3-limits-to-artificial-intelligences-creativity-and-how-to-solve-them.html.

7. Ajani G. Human authorship and art created by artificial intelligence—Where do we stand? In: Dreier T, Andina T (editors). Digital ethics. Baden-Baden: Nomos Verlagsgesellschaft mbH & Co. KG.; 2022. p. 253–270. doi: 10.5040/9781509964154.ch-015.

8. Rosenberg H. The de-definition of art. Chicago, USA: University of Chicago Press; 1983.

9. Mullholland N. 2. definitions of art and the art world. In: Exploring visual culture: Definitions, concepts, contexts. Edinburgh, USA: Edinburgh University Press; 2005. p. 18–33. doi: 10.1515/9781474471879-006.

10. Zhang C, Lu Y. Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration 2021; 23: 100224. doi: 10.1016/j.jii.2021.100224.

11. Wellner G. Digital imagination, fantasy, AI art. Foundations of Science 2022; 27: 1445–1451. doi: 10.1007/s10699-020-09747-0.

12. Slotte Dufva T. Entanglements in AI art. In: Global media arts education: Mapping global perspectives of media arts in education. Cham: Springer International Publishing; 2022. p. 181–196.

13. Compton N. Generative art: The creatives powering the AI art boom [Internet]. Wallpaper: Future Publishing Limited Quay House; 2022 [cited 2023 Apr 6]. Available from: https://www.wallpaper.com/art/generative-art.

14. Coeckelbergh M. Can machines create art? Philosophy & Technology 2017; 30(3): 285–303. doi: 10.1007/s13347-016-0231-5.

15. Mazzone M, Elgammal A. Art, creativity, and the potential of artificial intelligence. Arts 2019; 8(1): 26. doi: 10.3390/arts8010026.

16. Tao F. A new harmonisation of art and technology: Philosophic interpretations of artificial intelligence art. Critical Arts 2022; 36(1–2): 110–125. doi: 10.1080/02560046.2022.2112725.

17. Ahmed D. Senses, experiences, emotions, memories: Artificial intelligence as a design instead of for a design in contemporary Japan. Intelligent Buildings International 2022; 14(2): 133–150. doi: 10.1080/17508975.2020.1764327.

18. Csikszentmihalyi M. Society, culture and person: A system view of creativity. In: Sternberg RJ, Davisdon JE (editors). The nature of creativity. New York: Cambridge University Press; 1988. p. 325–329.

19. Csikszentmihalyi M. Society, culture, and person: A systems view of creativity. In: Sternberg RJ, Davisdon JE (editors). Heidelberg: Springer Netherlands; 2014. p. 47–61.

20. Jennings KE. Developing creativity: Artificial barriers in artificial intelligence. Minds and Machines 2010; 20: 489–501. doi: 10.1007/s11023-010-9206-y.

21. Hughes RT, Zhu L, Bednarz T. Generative adversarial networks–enabled human–artificial intelligence collaborative applications for creative and design industries: A systematic review of current approaches and trends. Frontiers in Artificial Intelligence 2021; 4: 604234. doi: 10.3389/frai.2021.604234.

22. Xu B, Jiang J. Exploitation for multimedia Asian information processing and artificial intelligence-based art design and teaching in colleges. ACM Transactions on Asian and Low-Resource Language Information Processing 2022; 21(6): 1–18. doi: 10.1145/3526219.

23. Li J, Zhang B. The application of artificial intelligence technology in art teaching taking architectural painting as an example. Computational Intelligence and Neuroscience 2022; 2022; 8803957. doi: 10.1155/2022/8803957.

24. Zhang W, Shankar A, Antonidoss A. Modern art education and teaching based on artificial intelligence. Journal of Interconnection Networks 2022; 22(Supp01): 2141005. doi: 10.1142/S021926592141005X.

25. Mok K. The power and ethical dilemma of AI image generation models [Internet]. Portland, Oregon: The New Stack; 2023 [update 2023 Jan 6; cited 2023 Apr 6]. Available from: https://thenewstack.io/the-power-and-ethical-dilemma-of-ai-image-generation-models.

Refbacks

There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 4.0 International License.

This site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Academic Supporter

Institute for Metaverse, School of Artificial Intelligence (School of Future Technology), Nanjing University of Information Science & Technology (NUIST), China

Editor-in-Chief

Prof. Zhigeng Pan

Director, Institute for Metaverse, Nanjing University of Information Science & Technology, China

Honorary Editor-in-Chief

Prof. Jianrong Tan

Academician, Chinese Academy of Engineering, China

Processing Speed (2023)

- 56 days: received to online

News & Announcements

2024-10-08

Submission Deadline Extension Announcement!

Submission deadline: November 11, 2024, 23:59, GMT time zone (updated!)...

2024-09-19

14 members of our esteemed editorial team have been recognized on "The World's Top 2% Scientists" list.

On September 16, 2024, Stanford University, in collaboration with the Elsevier Data Repository, proudly unveiled the seventh edition of the prestigious list: The World's Top 2% Scientists....

2024-09-17

19th ACM SIGGRAPH International Conference on Virtual Reality and Continuum (VRC) and its Applications in Industry

In our ongoing commitment to foster advancements in Virtual Reality and Computer Graphics (VRC), ACM SIGGRAPH proudly presents VRCAI 2024.

More Announcements...

Special Issues

Propose a Special Issue

Article Tools

Indexing metadata

How to cite item

Review policy