Analyzing behavioral intentions toward Generative Artificial Intelligence: the case of ChatGPT

被引：2

作者：

Nan, Dongyan ^{[1
,2
]}

Sun, Seungjong ^{[3
]}

Zhang, Shunan ^{[1
,2
]}

Zhao, Xiangying ^{[1
,2
]}

Kim, Jang Hyun ^{[1
,2
,3
]}

机构：

[1] Sungkyunkwan Univ, Dept Human Artificial Intelligence Interact, Seoul, South Korea

[2] Sungkyunkwan Univ, Dept Interact Sci, Seoul, South Korea

[3] Sungkyunkwan Univ, Dept Appl Artificial Intelligence, Seoul, South Korea

来源：

UNIVERSAL ACCESS IN THE INFORMATION SOCIETY | 2024年

基金：

新加坡国家研究基金会;

关键词：

Generative AI; ChatGPT; Expectation confirmation model; Continuance intention to use; Intention to recommend; INFORMATION PRIVACY CONCERNS; EXPECTATION-CONFIRMATION MODEL; CONTINUANCE INTENTION; USER ACCEPTANCE; PERCEIVED INNOVATIVENESS; PRODUCT INNOVATIVENESS; SYSTEMS CONTINUANCE; IMPACT; ADOPTION; DETERMINANTS;

D O I：

10.1007/s10209-024-01116-z

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Generative artificial intelligence (AI) is an innovative AI technology that has garnered considerable attention worldwide. This study aimed to facilitate the development of such technologies by examining the factors affecting individuals' intentions toward generative AI (e.g., ChatGPT). Concretely, we developed a causal model by extending the expectation confirmation model with information system success theory, privacy concerns, and perceived innovativeness. Then, we tested the model by analyzing survey-based data from 252 Korean ChatGPT users. As a result, we found that antecedent variables -information quality, system quality, privacy concerns, and perceived innovativeness- play notable roles in affecting users' intentions to continually use and recommend generative AI ChatGPT. Overall, the current research is one of the first attempts to track the variables influencing individuals' intentions to continually use and recommend in the context of generative AI ChatGPT.

引用

页数：11

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