A Hybrid Evaluation of AI Chatbots in Taiwan Agriculture Services

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...

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Bibliographic Details
Published in2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI) pp. 112 - 118
Main Authors Wang, Eric Tswen Gwo, Chen, Abbott Po Shun, Liu, Chai Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2021
Subjects
agriculture service
Chatbots
Companies
Electronic commerce
Maintenance engineering
NLP
online customer experience
Personnel
User experience
Web pages
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Summary: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.
ISSN:2376-6824
DOI:10.1109/TAAI54685.2021.00029