A Hybrid Evaluation of AI Chatbots in Taiwan Agriculture Services

Abstract

This paper presents the realization of artificial intelligence (AI) in the Agricultural Industry driven by the chatbot impact on user experience. The study implemented past evaluation methods of Retrieval-based and Generative-based AI chatbots, including efficiency and construction costs. determine the extent of the customer satisfaction factors that successfully influence chatbot acceptance in Taiwan. The results of an empirical study demonstrated that an integrated method of retrieval and natural generation is the most suitable for agricultural services. In addition to the user's perception, the chatbot must consider the overall value evaluation, which Hybrid retrieval-generation can also achieve the most appropriate system efficiency and user satisfaction.