An Empirical Analysis of Predictors of AI-Powered Design Tool Adoption

被引：5

作者：

Chuyen, Nguyen Thi Hong ^{[1
]}

Vinh, Nguyen The ^{[2
]}

机构：

[1] Thai Nguyen Univ Educ, Quang Trung Ward, 20 Luong Ngoc Quyen St, Thai Nguyen, Vietnam

[2] Thai Nguyen Univ Informat & Commun Technol, Z115 St, Quyet Thang Commune, Thai Nguyen, Vietnam

来源：

TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS | 2023年 / 12卷 / 03期

关键词：

-; SEM; AI-powered design tools; UTAUT; factor analysis; empirical analysis; USER ACCEPTANCE; TECHNOLOGY;

D O I：

10.18421/TEM123-28

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study examined the relationships among the dimensions of Unified Theory of Acceptance and Use of Technology (UTAUT) and external variables in the context of using artificial intelligence (AI)-powered tools for lecture design. After four months of utilizing the tools, 208 participants took the survey via Google Form. The structural equation model was utilized to analyze the obtained responses. Findings showed that performance expectancy, effort expectancy, social influence, and availability/accessibility are reliable predictors of users' intentions to utilize AI-powered design tools. However, the effects of facilitating conditions and trust and confidence are insignificant. The proposed conceptual model accounted for 54.6% of the data variation. This study provides designers and developers of AI-powered design tools with theoretical and practical implications that can enhance the practical adoption and utilization of these tools.

引用

页码：1482 / 1489

页数：8

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