Robotics & Machine Learning Daily News2024,Issue(Sep.20) :23-23.

Study Results from National Taipei University of Technology Provide New Insights into Artificial Intelligence (Explore the driving factors of designers’ AIGC us age behavior based on SOR framework)

Robotics & Machine Learning Daily News2024,Issue(Sep.20) :23-23.

Study Results from National Taipei University of Technology Provide New Insights into Artificial Intelligence (Explore the driving factors of designers’ AIGC us age behavior based on SOR framework)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Taipei, Taiwan, by NewsRx e ditors, research stated, “Despite the widespread recognition of artificial intel ligence’s advantages, it cannot replace human independent thinking and creativit y, especially in fields such as artistic design that require creativity.” The news correspondents obtained a quote from the research from National Taipei University of Technology: “Previous studies often examined its development trend s from the perspective of technical advantages or application processes. This st udy explores the attitudes and acceptance of creative industry practitioners tow ards Artificial Intelligence Generated Content (AIGC) from the perspective of us er behavior modification. Utilizing the Stimulus-Organism-Response Model (SOR) a s the theoretical background, this research integrates the Technology Acceptance Model, Theory of Planned Behavior, and Self-Efficacy to form the research frame work. By employing a mixed-method approach combining quantitative and qualitativ e analyses, data from 226 designers were explored, and structural equation model ing was used to verify the correlations between endogenous factors. The results indicate that users’ facilitating conditions significantly influence self-effica cy, which in turn determines their intention to adopt AIGC. Additionally, semi-s tructured interviews revealed that factors hindering the widespread application of AIGC mainly encompass legal security, ethical risks, and fairness.”

Key words

National Taipei University of Technology/Taipei/Taiwan/Asia/Artificial Intelligence/Emerging Technologies/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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