科技接受模式, 是個被廣泛運用並且有效的技術, 作為研究的基礎工具揭露會影響消費者決策的因素以採納及有效利用人工智慧聊天機器人. 在過去, 該模式作為調查使用人工智慧聊天機器人的行為目的性和檢驗作為調節者的角色所帶來的幫助上, 其使用便利性, 使用者闡述性, 工作關聯性以及滿意度上的效果. 我執行了一項調查, 共有195個樣本數, 其內容是針對由個人觀點對於創新的擴散的看法並加以分析. 我使用了探索性因素分析, 有效性, 可靠性, 以及調節作用分析作為評估該模式的方法. 結果顯示在使用的方便性以及幫助上, 兩者是對於使用人工智慧聊天機器人的行為傾向上具有相關性的變數, 兩者在變數的角色上對於使用便利性上及使用人工智慧聊天機器人的行為傾向的關係中具有部分/補充性的調節作用.

The Technology Acceptance Model (TAM), a widely used and effective technique, served as the research's foundation tool to reveal the factors that influence consumers' decisions to embrace and utilize Artificial Intelligence Chatbots. It was used to investigate the effect of Perceived Ease of Use, User Demonstrability, Job Relevance, and Satisfaction on the Behavioral Intention of Use of AI Chatbots and to examine the role of Perceive Usefulness as a mediator of those relationships. A survey was conducted to obtain individual perception of the diffusion of innovation and a total data from 195 participants was analyzed. Exploratory Factor Analysis (EFA), Validity, Reliability, and Mediation Analysis were used to evaluate the model proposed. The results show that Perceived Ease of Use and Perceived Usefulness were the relevant variables to Behavioral Intention of Use of AI Chatbots and Perceived Usefulness acted as a partial / complementary mediator in the relationship between Perceived Ease of Use and Behavioral Intention of Use toward AI Chatbots.

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