Explore the Fashion Industry’s Behavioral Intention to Use Artificial Intelligence Generated Content Tools Based on the UTAUT Model DOI
Xue Li, Lei Shen, Xiangfang Ren

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 12, 2024

Language: Английский

The Influence of Mobile Augmented Reality on Consumer Behavior: Insights into Affective, Cognitive, and Behavioral Responses DOI Creative Commons
Lingam Naveen, Md Irfanuzzaman Khan, Abu Saleh

et al.

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108558 - 108558

Published: Jan. 1, 2025

Language: Английский

Citations

0
Researching user experience with artificial intelligence application for customer care services on e-commerce platform DOI Creative Commons
Nguyen Thi Phuong Giang, Do Manh Hung,

Ton Thi Huong

et al.

Jurnal Ekonomi Perusahaan, Journal Year: 2025, Volume and Issue: 31(2), P. 149 - 174

Published: Jan. 16, 2025

This study is conducted in the context of booming development e-commerce shopping Vietnam. The rising demand for online has resulted increased pressure on workforce optimization and automation customer service processes platforms. To meet need care response, significant resources manpower, time, cost are required. Therefore, to optimize costs, reduce response enhance care, applying artificial intelligence become a top choice. purpose this explore factors that directly affect experience using platforms aims help businesses understand feedback psychology develop strategies improve advance application model. provides an overview influencing AI-driven Based this, it offers managerial implications quality operating

Language: Английский

Citations

0
Gender differences in creative workers’ general attitudes toward artificial intelligence painting tools DOI

Liu Yuanxia

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Language: Английский

Citations

0
Persist or Abandon? Exploring Chinese Users’ Continuance Intentions Toward AI Painting Tools DOI Creative Commons
Junping Xu,

Xuanjia Ren,

Yuanyuan Huang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 135469 - 135488

Published: Jan. 1, 2024

With the rapid development of Artificial Intelligence (AI) technology in art field, AI painting tools (AIPT) have attracted a high interest creation art. However, factors affecting Chinese users' continued or interrupted use AIPTs not been adequately studied. This study builds new theoretical model based on perspective user experience, combining Expectation Confirmation Model (ECM) and Technology Acceptance (TAM), with aim deeply exploring continuance intention to AIPT process. We collected data from 532 users that regarded as production tool performed analysis testing using SPSS 27 Partial Least Squares Structural Equation Modeling (PLS-SEM) Smartpls 4. The results showed positive trend overall continuous AIPT. Among 14 hypotheses proposed, 11 were validated 3 rejected. emotion experience (EE) has most significant effect (CI), valuing emotional involvement experience. is followed by satisfaction (SAT), attitude (ATT), perceived usefulness (PU), trust (PT), while intelligence (PI) novelty (PN) indirectly affect CI through mediating variables PT SAT. findings this only contribute both insights into process, comprehensive robust discussion future direction Furthermore, it offers valuable technical solutions practical guidance for developers, underscoring importance considering needs when optimizing technology. It also improves sustained usage facilitates co-creation human beings AI, which provides essential information further commercialization field.

Language: Английский

Citations

2
Quality factors affecting the continued use of mobile health apps in ethnic minority regions of Southwest China using PLS-SEM and ANN DOI Creative Commons

Deng Honglin,

Zhang Jianghua,

Hui Chen

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 26, 2024

Mobile technology has significantly accelerated the rapid development of healthcare services. Despite convenience brought by proliferation mobile health (mHealth) apps, challenge promoting their continued use among patients garnered attention from many scholars and administrators. Based on Expectation Confirmation Model (ECM), this study explores impact quality elements continuance intention mHealth apps in Southwest China's ethnic minority regions. Researchers conducted a structured questionnaire survey 337 users these regions to measure self-reported responses seven constructs: information quality, system service perceived usefulness, confirmation, satisfaction, intention. The uses structural equation model-artificial neural network (SEM-ANN) approach interpret compensatory non-linear relationships between predictors findings reveal that user satisfaction usefulness predict apps. All other were confirmed except for non-significant usefulness. Furthermore, based normalized importance obtained multilayer perceptron, most critical identified (100%), followed (70.2%), (43.2%), (25.1%), confirmation (17.6%). Finally, presents theoretical practical implications towards

Language: Английский

Citations

0
Explore the Fashion Industry’s Behavioral Intention to Use Artificial Intelligence Generated Content Tools Based on the UTAUT Model DOI
Xue Li, Lei Shen, Xiangfang Ren

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 12, 2024

Language: Английский

Citations

0