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Traditionally, users have perceived that only manual laborers or those in repetitive jobs would be subject to technological substitution. However, with the emergence of technologies like Midjourney, ChatGPT, and Notion AI, known as Artificial Intelligence-Generated Content (AIGC), we have come to realize that cognitive laborers, particularly creative designers, also face similar professional challenges. Yet, there has been relatively little research analyzing the acceptance and trust of artificial intelligence from the perspective of designers. This study integrates the TAM/TPB behavioral measurement model, incorporating intrinsic characteristics of designers, to delineate their perceived risks of AIGC into functional and emotional dimensions. It explores how these perceived characteristics, risks, and trust influence designers' behavioral intentions, employing structural equation modeling for validation. The findings reveal the following: (1) designer trust is the primary factor influencing their behavioral choices; (2) different dimensions of perceived risks have varying degrees of impact on trust, with functional risks significantly positively affecting trust compared to emotional risks; (3) only by enhancing the transparency and credibility of Artificial Intelligence-Generated Content (AIGC) can the perceived characteristics of designers be elevated; and (4) only by effectively safeguarding designers' legitimate rights and interests can perceived risks be significantly reduced, thereby enhancing trust and subsequently prompting actual behavioral intentions. This study not only enhances the applicability and suitability of AIGC across various industries but also provides evidence for the feasibility of intelligent design in the creative design industry, facilitating the transition of AIGC to Artificial Intelligence-Generated Design (AIGD) for industrial upgrading. [ABSTRACT FROM AUTHOR]

Despite the increasing application of digital education in intangible cultural heritage (ICH), user acceptance of digital technology needs further investigation. In this study, a mobile AR system for ICH education was developed to understand user acceptance of digital technology. This study developed a conceptual model and hypotheses based on cultural awareness, generic learning outcomes (GLOs), and the technology acceptance model, aiming to construct an appropriate digital learning model for ICH. The results of the study indicated that the reliability and validity of the measurement model were satisfactory. In addition, the importance of external variables was confirmed. Cultural awareness and GLOs affected users' perceived usefulness and perceived ease of use. In addition, perceived usefulness and ease of use had a positive effect on attitudes toward the use, which in turn had a positive effect on behavioural intention to use. [ABSTRACT FROM AUTHOR]

In this article, we sought to determine whether perceived enjoyment (PE), perceived ease of use (PEOU), and perceived usefulness (PU) impacted children's attitude toward using an augmented reality mobile application (app) to search for books in a smart library. We used an experiment and a questionnaire survey to measure the perceptions of 238 children of the proposed app. Structural equation modeling was applied in conjunction with the technology acceptance model and flow theory to analyze the collected data. Participants tended to take less notice of their spatial context while using the app and rather focused on their experience of the route. Children's attitudes toward the app were most influenced by PEOU, followed by PE, and PU. This article provides evidence that children with limited cognition abilities using ego-centered navigation to find selected targets tend to emphasize PEOU and thus prioritize processing temporal concepts over emotional and spatial concepts. [ABSTRACT FROM AUTHOR]