| 英文摘要 |
This study explores the applications of generative AI technologies, including augmented reality, virtual reality, and image generation in the future sales of beauty and cosmetics products. A particular focus is placed on AI virtual makeup try-on services. The objective is to assist beauty retailers in leveraging generative AI technologies to transform their virtual makeup try-on services, ultimately enhancing customer satisfaction. Since the launch of ChatGPT 3.5, the public has increasingly recognized the appeal and applicability of generative AI technologies. However, the relationships between perceived ease of use, perceived reliability, performance expectations, and consumers' intention to use AI virtual try-on services in Taiwan remain underexplored. To address this gap in the Taiwanese context, this study adopts the affordance theory to establish a practical framework that provides insights and value-added recommendations for beauty retailers. A quantitative approach was employed, collecting valid data from 205 beauty product users. The findings indicate that the relative advantages of AI significantly influence all three dimensions of AI affordance. However, AI environmental compatibility only has a positive impact on performance expectations and perceived ease of use. Furthermore, the results demonstrate that all dimensions of AI affordance positively and significantly affect consumers' intention to use AI virtual try-on services. Notably, both perceived ease of use and perceived reliability must be enhanced through consumers' willingness to use these services to improve overall satisfaction with AI virtual try-on experiences. This study offers valuable practical insights for beauty retailers considering the implementation of AI-powered virtual makeup try-on solutions. |