Explore the driving factors of designers’ AIGC usage behavior based on SOR framework DOI Creative Commons
Shao-Feng Wang, Chun-Ching Chen

Frontiers in Computer Science, Год журнала: 2024, Номер 6

Опубликована: Сен. 9, 2024

Despite the widespread recognition of artificial intelligence’s advantages, it cannot replace human independent thinking and creativity, especially in fields such as artistic design that require creativity. Previous studies often examined its development trends from perspective technical advantages or application processes. This study explores attitudes acceptance creative industry practitioners towards Artificial Intelligence Generated Content (AIGC) user behavior modification. Utilizing Stimulus-Organism-Response Model (SOR) theoretical background, this research integrates Technology Acceptance Model, Theory Planned Behavior, Self-Efficacy to form framework. By employing a mixed-method approach combining quantitative qualitative analyses, data 226 designers were explored, structural equation modeling was used verify correlations between endogenous factors. The results indicate users’ facilitating conditions significantly influence self-efficacy, which turn determines their intention adopt AIGC. Additionally, semi-structured interviews revealed factors hindering AIGC mainly encompass legal security, ethical risks, fairness. extends scope (SOR), enriches provides new framework for industry, detailing responsibilities, processes, content Design (AIGD) process.

Язык: Английский

AIGC-enabled digital presentation study of visual novels DOI
Cun Liu, Zhanwei Zhao,

Ruoyu Feng

и другие.

E-Learning and Digital Media, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Visual novels are digital creations that combine fictional narratives and interactive games, designed as hypermedia systems. The development of technology has made visual gradually develop from static to multimodal narrative forms with greater interactivity immersion. Based on the literature material, this paper combs through history takes classic cases in reference basis, summarises presentation novels, analyzes typical characteristics era perspective, proposes future innovation direction AIGC era.

Язык: Английский

Процитировано

0

Research on the Design and Implementation Strategy of Personalized Art Education Experience Based on AICG DOI Creative Commons
Jiaqi Wang

SHS Web of Conferences, Год журнала: 2025, Номер 213, С. 02039 - 02039

Опубликована: Янв. 1, 2025

This study explores the design and implementation strategies of personalized art education experience based on artificial intelligence generated content (AICG) technology. With rapid development AICG technology in field education, especially its potential impact educational experiences is increasingly receiving attention. The research objective to explore how use promote meet students’ different learning needs, thus improve efficiency quality. Firstly, theoretical foundation section analyzes application combining theory experiential theory, emphasizing paths, artistic creation, education. also analyzed generates interests abilities, assists students enhances outcomes through multi-sensory immersive design. Subsequently, principles for were proposed, technical architecture path platform discussed, including data collection, model training generation, adaptation mechanism, etc. Through case analysis, this article evaluates both domestically internationally. Finally, summarized prospects proposed future directions, integration with traditional models interdisciplinary applications.

Язык: Английский

Процитировано

0

Application and Value Evaluation of AIGC Based on Sustainable Development in Visual Communication Design DOI Creative Commons
Yishu Wang

SHS Web of Conferences, Год журнала: 2025, Номер 213, С. 02038 - 02038

Опубликована: Янв. 1, 2025

With the rapid development of artificial intelligence technology, application AIGC (Artificial Intelligence Generated Content) in field visual communication design is becoming increasingly widespread. This article aims to explore specific and its value evaluation context sustainable development. Firstly, analyzes fields such as graphic design, UI/UX brand packaging design. It points out that not only improves efficiency through automated generation solutions, but also promotes innovation personalized customization a certain extent. Secondly, from perspective development, this explores how practices by reducing resource waste, lowering carbon emissions, promoting environmentally friendly At same time, evaluates role improving quality, costs, addressing environmental social responsibilities, discusses ethical challenges copyright, originality, other areas. Through comprehensive analysis technology provides important theoretical basis practical reference for future field.

Язык: Английский

Процитировано

0

Explore the driving factors of designers’ AIGC usage behavior based on SOR framework DOI Creative Commons
Shao-Feng Wang, Chun-Ching Chen

Frontiers in Computer Science, Год журнала: 2024, Номер 6

Опубликована: Сен. 9, 2024

Despite the widespread recognition of artificial intelligence’s advantages, it cannot replace human independent thinking and creativity, especially in fields such as artistic design that require creativity. Previous studies often examined its development trends from perspective technical advantages or application processes. This study explores attitudes acceptance creative industry practitioners towards Artificial Intelligence Generated Content (AIGC) user behavior modification. Utilizing Stimulus-Organism-Response Model (SOR) theoretical background, this research integrates Technology Acceptance Model, Theory Planned Behavior, Self-Efficacy to form framework. By employing a mixed-method approach combining quantitative qualitative analyses, data 226 designers were explored, structural equation modeling was used verify correlations between endogenous factors. The results indicate users’ facilitating conditions significantly influence self-efficacy, which turn determines their intention adopt AIGC. Additionally, semi-structured interviews revealed factors hindering AIGC mainly encompass legal security, ethical risks, fairness. extends scope (SOR), enriches provides new framework for industry, detailing responsibilities, processes, content Design (AIGD) process.

Язык: Английский

Процитировано

0