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Drawing on theories from personality psychology and motivation, this study examined the acceptance of generative Artificial Intelligence (AI) technology. It analyzed the impact of demographic characteristics, usage level of generative AI, user personality traits, and motivation on trust, satisfaction, and intention to use (including willingness to pay) for the service. An online survey was conducted targeting users with experience in generative AI (N = 400). The results indicated that functional motivation directly influenced trust, satisfaction, and intention to use when the AI service was both free and paid. Hedonic motivation affected trust, satisfaction, and intention to use when the AI service was free and significantly influenced intention to use when it was paid, only when mediated by trust. Frequency of use directly impacted both intentions. Among personality factors, agreeableness, conscientiousness, and extraversion impacted the intention to use AI, both paid and free, when mediated by trust. Satisfaction directly influenced the intention to use when the AI service was free but did not exhibit direct or indirect effects on the intention to use for paid AI services. Conclusion: These findings present valuable insights for researchers and practitioners, aiding in understanding individual acceptance of generative AI technology based on personal characteristics and suggesting practical implications for marketing strategies, such as the development of generative AI features and personalized messages.

This study aimed to help build a quality control program to improve cardiac arrest treatment via analysis of medical records in a local tertiary general hospital to evaluate factors that influence clinical outcomes of inhospital cardiac arrest. At first, the medical records of in-hospital cardiac arrest were analyzed, and targeted surveys about functional and structural factors associated with cardiopulmonary resuscitation (CPR) were conducted amongst the workforce in charge of cardiac arrest treatment. From January 2012 through June 2013, a total of 486 adult cases of in-hospital cardiac arrests, except for those occurring in the emergency room, were enrolled in this study. Among the patients, those of recovery of spontaneous circulation were 57.8%; 13.8% of patients were discharged alive; 8.9% of patients were discharged without significant neurologic sequela. Despite CPR is usually successful when administered as quickly as possible, in this analysis showed that prompt reaction after initial recognition was significantly lower in nurses compared with doctors. Analysis of survey results showed that confidence in performing CPR was significantly associated with the experience of CPR in doctors, while in nurses educational experience showed a correlation. In order to improve quality of in-hospital CPR system maintaining and increasing confidence of CPR performance is the most important factor. Therefore it can be helpful to develop and apply a phased, customized education program using training simulators as well as personalizing them to increase the personnel's confidence in CPR performance.

This study analyzes how artificial intelligence (AI) and data visualization technologies are integrated into artistic creation to enable aesthetic immersion, focusing specifically on Refik Anadol’s Machine Hallucinations series particularly the Space and Mars projects. Based on vast scientific datasets, Anadol reconstructs representations of space and Mars into surreal and abstract video installations, offering audiences immersive and sensory-driven experiences. Through case analysis and a visual cultural approach to the structure and expression of the works, this paper investigates how Anadol expands the boundaries of human perception and artistically materializes the concept of machinic imagination. The analysis reveals that Machine Hallucinations not only reinterprets scientific data into aesthetic forms through AI but also presents new possibilities for creative collaboration between humans and machines, thereby dissolving the boundary between art and technology. These findings contribute to a renewed understanding of the role of data and algorithms in artistic practice and offer a philosophical reflection on digital aesthetics and the evolving human–machine relationship. Ultimately, this study explores the vision and potential of AI-based art and provides meaningful implications for future interdisciplinary research at the convergence of art, science, humanity, and technology.

Advancements in generative AI are reshaping graphic and 3D content design landscapes, where AI not only enriches graphic design but extends its reach to 3D content creation. Though 3D texture mapping through AI is advancing, AI-generated 3D modeling technology in this realm remains nascent. This paper presents AI 2D image-driven 3D modeling techniques, assessing their viability in 3D content design by scrutinizing various algorithms. Initially, four OBJ model-exporting AI algorithms are screened, and two are further evaluated. Results indicate that while AI-generated 3D models may not be directly usable, they effectively capture reference object structures, offering substantial time savings and enhanced design efficiency through manual refinements. This endeavor pioneers new avenues for 3D content creators, anticipating a dynamic fusion of AI and 3D design.

Service companies such as fitness centers are industries where the capabilities of employees are very important. This is because they respond to customers at the point of contact with customers who use the fitness center. Therefore, in order to strengthen the capabilities of employees are very important. This is because they respond to customers at, employees are attracting attention as a human resource(HR) management method in which occupational experience management is important in the workplace. Thus, this study aims to empirically analyze a structural equation model(SEM) that sets employee experience in fitness centers as exogenous variables and job satisfaction, organizational commitment, organizational trust, and customer orientation as endogenous variables.The sample included fitness center staff, 250 people were selected by convenience and snowball sampling, and 226 people were used for the final analysis. Data were subjected to frequency and reliability analysis(Cronbach α) using SPSS 28. SEM analysis at AMOS 21 followed a two-step approach: confirmatory factor analysis(CFA) and path analysis to verify model fit and hypothesis. In the case of Hypothesis 1 (employee experience and job satisfaction), technical experience had no significant effect on job satisfaction, whereas organizational culture experience and organizational support experience had a positive effect, leading to partial acceptance. Hypothesis 2, 3, and 4 (the influence of job satisfaction on organizational commitment, organizational trust, and customer orientation) all showed positive effects and were fully supported. In the case of Hypothesis 5 (employee experience and organizational commitment), the organizational support experience had a positive effect on organizational commitment, leading to partial acceptance. Hypothesis 6 (employee experience and organizational trust) showed that organizational culture experience and technical experience positively influence organizational trust, leading to partial acceptance. Finally, Hypothesis 7 (employee experience and customer orientation) found that only organizational support experience positively influenced customer orientation, leading to partial acceptance.

As YouTube is rapidly growing as an information platform, we investigated practical impacts of YouTube knowledge content and creator characteristics on viewer satisfaction and purchase intention. In so doing, an empirical survey was conducted among the viewers of <Chekgrim>, one of representative book YouTube channels in Korea. A total of 641 valid samples were analyzed. This study aims to understand the impact of knowledge contents on YouTube, and creator characteristics on viewer satisfaction and purchase intention. Specifically, for the study, content characteristics were divided into three sub-factors: entertainment, information, and interactivity, and the creator characteristics were divided into two sub-factors: intimacy and professionalism. Viewing satisfaction and purchase intention were set as dependent variables. The results of various analyses confirm that creator characteristics have direct and indirect effects on viewers' purchase intentions, and in particular, intimacy has the greatest influence on purchase intentions. This is expected to be a meaningful empirical analysis for future influencer marketing strategies and effective communications between content creators and consumers.

The purpose of this study is to prove the global OTT, Netflix’s organizational resilience (OR). For this, we review previous literatures regarding Netflix’s OR and the theoretical logic of the OR. Then, we investigate Netflix’s organizational culture (OC), corporate structure and business strategies based on the five levers of the OR. As a result, the first lever, the coordination makes Netflix to get rid of the inner wall by creating Netflix terms like ‘sunshining,’ and ‘postmortem,’ which makes their employees extraordinarily candid with each other. The second lever, the cooperation provides employees with understanding customers by sharing company and service information openly and broadly through transparent board system, billboard advertising, etc. The third lever, the clout allows Netflix to encourage independent decision-making by their employees. Netflix customers are under scrutiny and served 24/7 via live chat or phone by supporting a high-performance workplace. The fourth lever, the capabilities are related to Netflix’s keeping highly effective people and it establishes a culture of highly motivated employees. The “dream team” policy is run by what is known as the “keeper test.” The last lever, the connections make Netflix to forge external strategic partnership to stay agile. There is no rule for partnering with key content producers by allowing creative freedom to them.

In the digital age, TikTok’s short-form videos have reshaped customer engagement, particularly in the tourism industry. This study examines the impact of compelling content factors on customers’ emotional engagement, and how this emotional engagement, in turn, drives behavioral engagement. Data were collected from 261 TikTok users in Vietnam through an online survey. The results indicate that creative content, highquality content, and trending content significantly influence emotional engagement, which subsequently affects behavioral engagement. However, content enjoyment and attractiveness were not found to have a significant impact on emotional engagement. This study provides both theoretical and practical insights for businesses aiming to enhance their social media marketing strategies effectively.

With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

At a specific juncture in industrial development, animation emerges as a product imbued with discernible features characteristic of the mechanical replication era. Through the integration of technology, it continually gives rise to postmodern cultural traits. Notably, the trajectories of postmodernism in China and Western Europe exhibit divergence. Following the reform and opening up, both postmodernism and modernism found acceptance and became interwoven. Chinese animated films, influenced by postmodernism, actively challenge traditional animation norms, exemplifying postmodern characteristics such as deconstruction, intertextuality, indeterminacy, collage, and diversity. This article endeavors to delve into the discourse surrounding postmodernism in both Western and Chinese contexts. It aims to scrutinize the manifestation of postmodern features, particularly with regard to ethnic elements, traditional mythological texts, and gender representations in Chinese animated films. Consequently, it becomes imperative to contemplate the affirmative adaptation and independent development of postmodernism within the unique Chinese milieu. Building upon an analysis of noteworthy traditional animated film genres and developmental trends in China, this study focuses on animated films from the 21st century, specifically Monkey King: Hero is Back, Big Fish & Begonia, Dahufa, White Snake and Nezha: Birth of the Demon Child. The paper seeks to explore the overarching characteristics of postmodernity reflected in the linguistic environment of postmodernism in China.