An Exploration of Machine Learning in Art and Design DOI

Rumeysa Zeynep Araçlı Dursun,

Uğur Bakan

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 205 - 236

Published: Oct. 4, 2024

The paper delves into the profound impact of Artificial Intelligence (AI) on various creative domains, emphasizing its transformative potential in reshaping human-computer interaction. It explores AI's evolution from traditional programming to Machine Learning (ML), highlighting ML's pivotal role facilitating tasks traditionally reserved for human intelligence. text elucidates how ML algorithms, such as Generative Adversarial Networks (GANs) and Neural Style Transfer, have revolutionized artistic creation by enabling computers generate visually captivating artworks autonomously. Furthermore, it discusses democratizing effect AI art design, making tools techniques more accessible individuals diverse backgrounds. While acknowledging ethical implications challenges, bias interpretability concerns, advocates interdisciplinary collaboration address these issues responsibly.

Language: Английский

Understanding Student Engagement in AI-Powered Online Learning Platforms: A Narrative Review of Key Theories and Models DOI
Manuel B. Garcia, Chai Lee Goi, Kate Shively

et al.

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2

HarmonyCut: Supporting Creative Chinese Paper-cutting Design with Form and Connotation Harmony DOI
Huanchen Wang,

Tianrun Qiu,

Jiaping Li

et al.

Published: April 24, 2025

Chinese paper-cutting, an Intangible Cultural Heritage (ICH), faces challenges from the erosion of traditional culture due to prevalence realism alongside limited public access cultural elements. While generative AI can enhance paper-cutting design with its extensive knowledge base and efficient production capabilities, it often struggles align content meaning users' models' lack comprehensive knowledge. To address these issues, we conducted a formative study (N=7) identify workflow space, including four core factors (Function, Subject Matter, Style, Method Expression) key element (Pattern). We then developed HarmonyCut, AI-based tool that translates abstract intentions into creative structured ideas. This facilitates exploration suggested related (knowledge, works, patterns), enabling users select, combine, adjust elements for design. A user (N=16) expert evaluation (N=3) demonstrated HarmonyCut effectively provided relevant knowledge, aiding ideation diverse designs maintaining quality within space ensure alignment between form connotation.

Language: Английский

Citations

0

AI-Assisted Inheritance of Qinghua Porcelain Cultural Genes and Sustainable Design Using Low-Rank Adaptation and Stable Diffusion DOI Open Access

Qian Bao,

J. Zhao,

Ziqi Liu

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(4), P. 725 - 725

Published: Feb. 13, 2025

Blue-and-white porcelain, as a representative of traditional Chinese craftsmanship, embodies rich cultural genes and possesses significant research value. Against the backdrop generative AI era, this study aims to optimize creative processes blue-and-white porcelain enhance efficiency accuracy complex artistic innovations. Traditional methods crafting encounter challenges in accurately efficiently constructing intricate patterns. This employs grounded theory conjunction with KANO-AHP hybrid model classify quantify core esthetic features thereby establishing multidimensional feature library its Subsequently, leveraging Stable Diffusion platform utilizing Low-Rank Adaptation (LoRA) technology, artificial intelligence (AIGC)-assisted workflow was proposed, capable restoring innovating enhances precision pattern innovation while maintaining consistency original style. Finally, by integrating principles sustainable design, explores new pathways for digital offering viable solutions contemporary reinvention crafts. The results indicate that AIGC technology effectively facilitates integration modern design approaches. It not only empowers inheritance continuation but also introduces ideas possibilities development craftsmanship.

Language: Английский

Citations

0

Research on key factors influencing Chinese designers’ use of AIGC: An extension based on TAM and TRI DOI Creative Commons
Yu Yao, Xiang Wang, Kuo-Shun Sun

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0314306 - e0314306

Published: Feb. 19, 2025

With the rapid development of AI intelligent technology, AIGC can bring an innovative revolution to art creation, providing designers with unlimited possibilities but also challenges. These challenges affect willingness adopt and constrain sustainable AIGC. The purpose this study is analyse factors designers’ adoption intention behaviours. This reconstructed research model by combining technology characteristics interactivity, acceptance model, readiness etc. empirical was conducted from dual perspectives application psychology, in order predict that behavioural intentions use In study, a questionnaire survey among China 462 valuable responses were received. Through structural equation modelling (SEM) analysis, found that: (1) AIGC’s technical features interactivity positively perceived ease use, usefulness, interactive do not directly usefulness; usefulness applications; (2) optimism innovation adopt; Insecurity negatively affects adopt, insecurity does features; discomfort adopt. further extends theoretical models TAM(Technology Acceptance Model) TRI(Technology Readiness Model), provides basis for studying behaviour AIGC, enriches groups domains TAM TRI. results provide inspiration development, design, marketing applications, contributing realisation as well professional designers.

Language: Английский

Citations

0

Exploring the Integration of Generative AI in Advertising Agencies: A Co-Creative Process Model for Human–AI Collaboration DOI
Wen Cui, Martin J. Liu, Ruizhi Yuan

et al.

Journal of Advertising Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: March 11, 2025

Language: Английский

Citations

0

Exploration and Practice of Artificial Intelligence Generative Art in Environmental Public Art DOI Open Access
Juan Li

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract Applying AI generative art to the field of environmental public can improve work efficiency, save money, reduce costs and increase profits. In this paper, an optimized technique is proposed by combining high-level semantic features images underlying color features, while introducing Gestalt visual perception theory. The performance evaluated conducting a questionnaire survey on 50 subjects. Increasing test sample capacity analyzing data, it concluded that mean value scores perceived quality, value, cost, risk, social impact, media barriers, willingness accept are all above 4, technology anxiety lowest at 3.832. This paper provides reference significance for production dissemination image content AI-generated in art.

Language: Английский

Citations

0

Art psychotherapy meets creative AI: an integrative review positioning the role of creative AI in art therapy process DOI Creative Commons
Ania Zubala, Alison Pease, Kacper Lyszkiewicz

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: March 20, 2025

Background The rise of artificial intelligence (AI) is promising novel contributions to treatment and prevention mental ill health. While research on the use conversational embodied AI in psychotherapy practice developing rapidly, it leaves gaps understanding impact that creative might have art specifically. A constructive dialogue between disciplines needed, establish potential relevance AI-bases technologies therapeutic involving artmaking self-expression. Methods This integrative review set out explore whether how could enhance other psychological interventions utilizing visual communication and/or artmaking. transdisciplinary search strategy was developed capture latest across diverse methodologies stages development, including reviews, opinion papers, prototype development empirical studies. Findings Of over 550 records screened, 10 papers were included this review. Their key characteristics are mapped a matrix stakeholder groups involved, elements belonging therapy domain, types AI-based involved. Themes significance for AT discussed, cultural adaptability, inclusivity accessibility, creativity self-expression, unpredictability imperfection. positioning diagram proposed describe role AT. AI’s process oscillates spectrum from being partner co-creative taking curator personalized visuals with intent. Another dimension indicates level autonomy – supportive tool an autonomous agent. Examples each these situations identified reviewed literature. Conclusion brings opportunities new modes self-expression extended reach therapy, over-reliance presents risks process, loss agency clients therapists. Implications technology relationship demand further investigation, as do its impacts, before can be confirmed.

Language: Английский

Citations

0

Exploring Privacy, Data Painting, and Hidden Biases: Lessons From Contemporary Artists for AI Use in Art Education DOI
Ahran Koo, Borim Song

Art Education, Journal Year: 2025, Volume and Issue: 78(2), P. 16 - 24

Published: March 4, 2025

Language: Английский

Citations

0

Walter Benjamin in the bathhouse: Meditations on robot mothers, daydreams, and art in the AI era DOI
Jennifer Lee O’Donnell

Anthropology & Humanism, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract This essay explores the impact of artificial intelligence (AI) on creativity and art. Through a blend autoethnography critical perspectives technology, ethics, creativity, utilizes camera obscura as metaphor to explore how digital era transforms artistic practices, commodifies products, reshapes relationship between human creation. Obscura 1 examines shift from traditional practices those infused with AI. 2 analyzes commodification art in age, considering issues control audience consumption. Finally, 3 reflects connection AI‐generated experience particularly psychological artmaking its potential transformation realm.

Language: Английский

Citations

0

Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community DOI
H. Zhang, Siyu Zha, Jie Cai

et al.

Published: April 23, 2025

Language: Английский

Citations

0