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Evaluating the Efficacy of an Innovative AI Web Design System Using the Information Systems Success Model

LEE, YI HENG
National Taichung University of Education Graduate School of Digital Content and Technology Student
E-mail: qq7636946@gmail.com

LO, JIH SHENG
National Taichung University of Education Graduate School of Digital Content and Technology Associate Professor
E-mail: ponylsen@mail.ntcu.edu.tw

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Abstract


This study introduced customized artificial intelligence tools for web design development, such as GitHub Copilot and ChatGPT-4 GPTs, and created a new web design slicing model named AICI (AI-Conventional-Innovative) system. Thirty front-end web developers from a selected web design company were chosen as subjects for a two-week experiment. The AICI system was then evaluated using the Information Systems Success Model. The results identified significant differences and positive feedback in the following experimental factors: ‘System Quality,’ ‘Information Quality,’ ‘User Satisfaction,’ and ‘Use Effectiveness.’ Thus, the study confirmed that the AICI system effectively enhances the design quality and execution efficiency of front-end developers’ slicing tasks. The results of the study are as follows: 1. Using the AICI system significantly improves slicing efficiency compared to traditional methods. 2. The system quality of the AICI system has a positive impact on user satisfaction. 3. The information quality of the AICI system positively affects user satisfaction. 4. The user satisfaction of the AICI system positively influences use effectiveness.