Опубликована: Авг. 16, 2024
Язык: Английский
Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 113 - 124
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1
Sustainability, Год журнала: 2024, Номер 17(1), С. 144 - 144
Опубликована: Дек. 27, 2024
AI-generated content (AIGC) is uniquely positioned to drive the digital transformation of professional education in animation, comic, and game (ACG) industries. However, its collaborative application also faces initial novelty effects user discontinuance. Existing studies often employ single-variable analytical methods, which struggle capture complex mechanisms influencing technology adoption. This study innovatively combines necessary condition analysis (NCA) fuzzy-set qualitative comparative (fsQCA) applies them field ACG education. Using this mixed-method approach, it systematically explores conditions configurational educational users’ continuance intention adopt AIGC tools for design learning, aiming address existing research gaps. A survey 312 Chinese users revealed that no single factor constitutes a their tools. Additionally, five pathways leading high adoption three low were identified. Notably, absence or insufficiency task–technology fit, perceived quality do not hinder willingness actively reflects creativity-driven learning characteristics, flexible diverse tool demands discipline. The findings provide theoretical empirical insights enhance effective synergy sustainable development between
Язык: Английский
Процитировано
1
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
Cogent Education, Год журнала: 2024, Номер 11(1)
Опубликована: Ноя. 1, 2024
There is a high interest for graphic design among the visual art disciplines in Ghana and several factors account this. The purpose of this study was to investigate that influence preference as preferred subject. To carry out task, purposive sampling technique employed collect data from 340 students selected senior schools tertiary institutions Ghana. This made up 145 male 195 female students. Data were collected through administration an online survey instrument paper-printed questionnaire based on integrated framework Expectancy-Value Theory Bronfenbrenner's Ecological Systems Theory. quantitative research method adopted which Partial Least Square Structural Equation Modeling (PLS-SEM) software used analyze study. findings revealed perceived personal motivation, robust ecosystem, strong intrinsic, extrinsic, social cultural attributes are key drivers students' design. It further have ecosystem where sophisticated digital tools processes employed. Characterized by good curriculum structure use 2D 3D computer like Adobe Photoshop, Illustrator Cinema 4D, easily attracted pursuing therefore recommended entire education should be redesigned include technological tools, collaborative learning courses computer-Aided graphics into other subjects.
Язык: Английский
Процитировано
0
Sustainability, Год журнала: 2024, Номер 16(22), С. 9647 - 9647
Опубликована: Ноя. 5, 2024
With the intensification of global warming and sea level rise, extreme weather climate events occur frequently, increasing probability destructive power marine disasters. The purpose this paper is to propose specific application artificial intelligence (AI) in disaster risk reduction. First, uses computer vision assess vulnerability target then CNN-LSTM forecast tropical cyclones. Second, proposes a social media communication mechanism based on deep learning psychological crisis intervention AIGC. In addition, rescue response system an intelligent unmanned platform also focus research. Third, attempts discuss loss assessment reconstruction machine smart city concepts. After proposing measures, three policy recommendations. first one improving legislation break technological trap AI. second promoting scientific innovation through key technologies third strengthening coordination cooperation build reduction that integrates man machine. reduce disasters by applying Furthermore, we hope provide references for sustainability human adaptation change.
Язык: Английский
Процитировано
0
The Internet and Higher Education, Год журнала: 2024, Номер 65, С. 100978 - 100978
Опубликована: Ноя. 14, 2024
Язык: Английский
Процитировано
0
Опубликована: Авг. 16, 2024
Язык: Английский
Процитировано
0