生成语法
忠诚
生成模型
前因(行为心理学)
感知
计算机科学
领域(数学)
实证研究
领域(数学分析)
人工智能
心理学
认知心理学
知识管理
社会心理学
数学
营销
业务
数学分析
统计
神经科学
纯数学
作者
Ang Zeng,Xusen Cheng,Yajie Wang
标识
DOI:10.1109/dsc59305.2023.00063
摘要
This article explores the antecedent variables and mechanisms of influence for user satisfaction with generative AI. The variables and models were extracted through a literature review, combining the technology acceptance model, self-determination theory, and anthropomorphism and perceptual intelligence as two domain-specific influences on generative AI. Data was collected by distributing a questionnaire to conduct an empirical study. The empirical results showed that perceived usefulness, perceived intelligence, and anthropomorphism have a significant positive impact on user satisfaction, while the mechanisms that influence loyalty are through the individual's internal perception rather than external pressure. The paper proposes a user loyalty model for generative AI that extends loyalty research to the emerging field of generative AI and provides guidance for the rapid iterative development of generative AI.
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