Previous Article in Journal
Individual Differences in Strategy and the Item-Position Effect in Reasoning Ability Measures
Previous Article in Special Issue
Scoring German Alternate Uses Items Applying Large Language Models
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
J. Intell.
Volume 13
Issue 7
10.3390/jintelligence13070078
jintelligence-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives

by
Junjie Chen
1,2,
Wei Xie
1,2,
Qing Xie
3,
Anshu Hu
3,
Yiran Qiao
3,
Ruoyu Wan
1 and
Yuhan Liu
1,2,4,*
1
School of Design, Huazhong University of Science and Technology, Wuhan 430074, China
2
MoCT Key Laboratory of Lighting Interactive Service & Tech, Huazhong University of Science and Technology, Wuhan 430074, China
3
School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China
4
Cognitive Aesthetics Media Lab (CAMLab), Harvard Faculty of Arts and Sciences (FAS), Harvard University, Cambridge, MA 02138, USA
*
Author to whom correspondence should be addressed.
J. Intell. 2025, 13(7), 78; https://doi.org/10.3390/jintelligence13070078 (registering DOI)
Submission received: 15 February 2025 / Revised: 5 June 2025 / Accepted: 9 June 2025 / Published: 27 June 2025
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)
Versions Notes

Abstract

In the era of GenAI, user attitude—shaped by cognition, emotion, and behavior—plays a critical role in the sustainable development of human–AI interaction. Human creativity and intelligence, as core drivers of social progress, are important factors influencing user attitudes. This paper systematically reviews 243 peer-reviewed studies on GenAI user attitudes published since 2019, identifying major research methods and theoretical perspectives, including the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the AI Device Use Acceptance (AIDUA) model. Drawing on contemporary creativity theories—such as Sternberg’s Theory of Successful Intelligence, the 4C Model by Kaufman and Beghetto, and the Dynamic Creativity Framework—we analyze how creativity and intelligence are conceptualized in current studies and how they affect user responses to GenAI. Through cross-cultural analysis and multimodal comparison, this review offers a comprehensive understanding of the interplay between GenAI and human creativity, aiming to support more inclusive and sustainable human–AI collaboration.
Keywords: GenAI; user attitudes; creativity; intelligence; acceptance; application domains; bibliometric analysis GenAI; user attitudes; creativity; intelligence; acceptance; application domains; bibliometric analysis

Share and Cite

MDPI and ACS Style

Chen, J.; Xie, W.; Xie, Q.; Hu, A.; Qiao, Y.; Wan, R.; Liu, Y. A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives. J. Intell. 2025, 13, 78. https://doi.org/10.3390/jintelligence13070078

AMA Style

Chen J, Xie W, Xie Q, Hu A, Qiao Y, Wan R, Liu Y. A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives. Journal of Intelligence. 2025; 13(7):78. https://doi.org/10.3390/jintelligence13070078

Chicago/Turabian Style

Chen, Junjie, Wei Xie, Qing Xie, Anshu Hu, Yiran Qiao, Ruoyu Wan, and Yuhan Liu. 2025. "A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives" Journal of Intelligence 13, no. 7: 78. https://doi.org/10.3390/jintelligence13070078

APA Style

Chen, J., Xie, W., Xie, Q., Hu, A., Qiao, Y., Wan, R., & Liu, Y. (2025). A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives. Journal of Intelligence, 13(7), 78. https://doi.org/10.3390/jintelligence13070078

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop