A Hybrid Evaluation of AI Chatbots in Taiwan Agriculture Services

Eric Tswen Gwo Wang, Abbott Po Shun Chen, Chai Wu Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2021 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-118
Number of pages7
ISBN (Electronic)9781665408257
DOIs
StatePublished - 2021
Event26th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021 - Taichung, Taiwan
Duration: 18 Nov 202120 Nov 2021

Publication series

NameProceedings - 2021 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021

Conference

Conference26th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021
Country/TerritoryTaiwan
CityTaichung
Period18/11/2120/11/21

Keywords

  • NLP
  • agriculture service
  • chatbots
  • online customer experience

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