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
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.