Search Results (155)

This study examines the intention of Greek tourists who visit national touristic destinations to adopt Artificial Intelligence (AI) chatbots in the tourism sector. Using the UTAUT2 model as a framework, data were collected through a closed-ended questionnaire and analyzed with correlation and regression methods to identify the main drivers and barriers to this adoption. Results show that specific factors such as performance expectancy, hedonic motivation, and perceived innovativeness significantly and positively influence chatbot usage, emphasizing the role of usefulness, enjoyment, and innovation in shaping user acceptance. Conversely, factors such as inconvenience, habit, and difficulty of use negatively affect adoption, indicating the importance of overcoming usability challenges and resistance to change. These findings highlight the need for the development of accessible and engaging chatbot systems and underscore the value of continuous technological improvements. The study concludes that adopting AI-driven solutions can help tourism providers personalize services, improve operational efficiency, and enhance customer satisfaction, fostering sustainable competitiveness in the sector. Full article

As sustainable tourism practices gain traction globally, immersive technologies such as augmented reality (AR) and virtual reality (VR) have emerged as effective tools to enrich visitor experiences while supporting heritage site preservation. Particularly within built cultural environments, these technologies facilitate non-invasive interpretation of architectural spaces, enabling sustainable interaction with fragile historical structures. Despite growing scholarly attention, existing research has primarily focused on the pre-adoption phase or the technical affordances of AR/VR, with limited understanding of user behavior in the post-adoption phase. To address this gap, this study integrates the Expectation Confirmation Model (ECM) with the experiential attributes of AR/VR-enabled heritage applications, proposing an integrated theoretical model to identify key determinants of tourists’ continuance intention. Based on 434 valid survey responses collected at the Terracotta Warriors Museum, a UNESCO World Heritage Site, and analyzed using structural equation modeling (SEM), the results reveal that perceived usefulness, perceived ease of use, satisfaction, and confirmation directly influence continuance intention, while visual appeal, entertainment, enjoyment, interactivity and confirmation exert indirect effects through mediating mechanisms. The findings contribute theoretically by extending ECM to the heritage tourism domain and empirically by providing robust evidence from a high-profile non-Western site. Practically, this study offers actionable implications for designing immersive experiences that enhance post-visit continuance intention and align with broader sustainability objectives. Full article

The progression of generative artificial intelligence (GenAI) has lowered the technical barriers for consumers to independently customize clothing. Its profit potential has driven fashion brands to adopt GenAI-based interactive customization services. However, the factors influencing consumers’ behavioral intention toward GenAI-supported clothing customization services (GAICCS) remain underexplored. In this study, an extended framework is constructed based on the Technology Acceptance Model (TAM), incorporating trust, perceived enjoyment, service quality, and social influence to examine their effects on behavioral intention across cognitive, affective, service, and social dimensions. A total of 692 valid responses were collected from Chinese consumers via convenience sampling. A multi-stage SEM-ANN analysis was conducted to test the model. The results show that perceived usefulness (β = 0.237, p < 0.001), perceived ease of use (β = 0.332, p < 0.001), social influence (β = 0.181, p < 0.001), and service quality (β = 0.093, p < 0.05) significantly enhance behavioral intention, with perceived ease of use being the most influential. Perceived ease of use and perceived usefulness also act as key mediators. Unlike previous studies, satisfaction showed no significant effect. This study underscores the importance of functional performance, social influence, and service quality in driving GAICCS adoption, providing theoretical insights and multi-level practical guidance for promoting GenAI in fashion contexts. Full article

There is increasing interest in integrating various forms of Information and Communication technologies (ICT) into education. Well-established theoretical guidelines should guide the integration of these technologies. A flipped classroom is an example of an educational approach that integrates ICT and is guided by an active learning philosophy. The current study aims to evaluate participants’ acceptance of the flipped learning instructional model using six indicators—perceived usefulness, ease of use, hedonic motivation, attitude, self-efficacy, and educational quality—and to assess overall satisfaction. Additionally, it examines how these factors relate to overall satisfaction with this approach. The study utilized a descriptive cross-sectional research design with an exploratory and correlational orientation. The target population for this study included undergraduate students enrolled in the “Computer Applications in Education” course offered by the College of Education over three consecutive semesters: the second semester of the 2023/2024 academic year and the first and second semesters of 2024/2025. All students in this course experienced the flipped learning model as part of their instructional activities. Out of the 180 students, 137 completed the data collection tool, which was a questionnaire. The results showed that participants’ acceptance of the flipped learning approach was generally positive, ranging from moderate to high across all measured dimensions. The majority reported high levels of hedonic motivation, positive attitudes, perceived educational quality, and ease of use of the flipped learning requirements. Students found the flipped learning experience enjoyable, effective, and manageable. They believed it enhanced their learning and reported moderate self-efficacy and perceived usefulness. While satisfaction with flipped learning was moderate overall, it was strongly associated with enjoyment, positive attitudes, self-efficacy, and perceived educational quality, as evident in the results of the correlation analysis. Regression analysis revealed that these four factors were significantly associated with students’ satisfaction, whereas perceived usefulness and ease of use were not significantly associated when considered alongside other variables. These results suggest that emotional engagement, confidence, and perceived educational value are key contributors to students’ satisfaction with flipped learning. Full article

Meaningful Physical Education (MPE) emphasizes six pedagogical dimensions, social interaction, enjoyment, fair challenge, motor competence, personally relevant learning, and enduring satisfaction, that contribute to students’ motor and emotional development. This study explores how experienced in-service Physical Education (PE) teachers perceive their capacity to foster these dimensions in their daily teaching practice. A qualitative, interpretative study was conducted through semi-structured interviews with 14 PE teachers (≥10 years of experience) from primary and secondary schools in Spain. A validated interview protocol, structured around the six MPE dimensions, guided data collection. Transcriptions were thematically analyzed using an inductive–deductive coding approach. Teachers described strategies to promote social cohesion, engagement through playful experiences, and differentiation to achieve fair challenges. They emphasized the importance of visible motor progress and emotional safety, and highlighted that when students perceive lessons as relevant, their motivation and long-term adherence to physical activity increases. Although teachers recognized challenges in implementing all dimensions simultaneously, they valued MPE as a guiding framework. The findings support MPE as a feasible and pedagogically rich model in real school contexts. Promoting these dimensions appears to be critical in fostering students’ sustained participation in physical activity and supporting their holistic motor development. Full article

This mixed-method study explores the impact of the Raising Climate Heroes: Ecological Game Camp on climate change knowledge, awareness, behavior, and emotional engagement among primary school students and adult participants. Designed with experiential and game-based learning approaches, the program aimed to enhance environmental literacy through interactive, nature-centered activities. The quantitative findings from pre- and post-tests revealed significant increases in climate-related knowledge, awareness, climate-friendly behavior, hope, and reductions in climate anxiety. All measurement tools demonstrated high internal consistency (α = 0.809–0.914), indicating strong reliability across both age groups. Qualitative data, analyzed using descriptive thematic analysis, showed high levels of participant satisfaction. The adults emphasized educational gains, professional relevance, and appreciation of academic facilitation. The children focused on enjoyment, outdoor experiences, and social interaction. Activities such as ecological experiments, composting, and collaborative cooking were most favored. The results suggest that combining cognitive and emotional elements through play and hands-on learning can effectively promote pro-environmental attitudes. This study contributes to the literature by demonstrating how climate education can be both engaging and transformative for diverse learner groups. Full article

As a part of sustainable transportation, robotaxis have been rapidly developing around the world because of their advantages in energy saving, improving road safety, and enhancing environmental sustainability, thereby providing consumers with sustainable transportation services. In China, as the number of pilot cities increases, more people are using robotaxi services. This study investigates the factors that affect consumer satisfaction and behavioral intentions after using a robotaxi, aiming to provide data to guide market strategy decisions. To do this, the value-based adoption model was extended and modified by including the technology readiness variable to examine satisfaction, intention to reuse, and electronic word-of-mouth (e-WOM) intentions. Using 425 valid responses, structural equation modeling (SEM) and multi-group analysis were carried out with AMOS 26.0. The results indicate that perceived usefulness, enjoyment, optimism, and innovativeness positively influence service satisfaction, whereas perceived risk and discomfort have negative effects. Consumer satisfaction positively affects both intention to reuse and e-WOM intention. Additionally, uncertainty avoidance shows a moderating effect between satisfaction and intention to reuse. Full article

Artificial intelligence (AI) is reshaping customer service, with AI-powered chatbots serving as a critical component in delivering continuous support across sales, marketing, and service domains, thereby enhancing operational efficiency. However, consumer engagement remains suboptimal, as many users favor human interaction due to concerns regarding chatbots’ ability to address complex issues and their perceived lack of empathy, which subsequently reduces satisfaction and sustainable usage. This study examines the determinants of user attitude and identifies factors influencing sustainable chatbot use. Utilizing survey data from 735 Chinese university students who have engaged with AI-powered chatbots, the analysis reveals that four key motivational categories: utilitarian (information acquisition), hedonic (enjoyment and time passing), technology (media appeal), and social (social presence and interaction) significantly influence user attitude toward chatbot services. Conversely, privacy invasion exerts a negative impact on user attitude, suggesting that while chatbots provide certain benefits, privacy issues can significantly undermine user satisfaction. Moreover, the findings suggest that user attitude serves as a pivotal determinant in fostering both user stickiness and sustainable usage of chatbot services. This study advances prior U&G-, TAM-, and ECM-based research by applying these frameworks to AI-powered chatbots in business communication, refining the U&G model with four specific motivations, integrating perceived privacy invasion to bridge gratification theory with risk perception, and directly linking user motivations to business outcomes such as attitude and stickiness. This study underscores that optimizing chatbot functionalities to enhance user gratification while mitigating privacy risks can substantially improve user satisfaction and stickiness, offering valuable implications for businesses aiming to enhance customer loyalty through AI-powered services. Full article

This study, based on the Decomposed Theory of Planned Behavior (DTPB), constructs and validates a systematic model to explore the key drivers influencing consumers’ continuous usage intention of sustainable Ready-to-Drink (RTD) beverage packaging. The model includes perceived value and social normative paths, introducing perceived sustainability (PS) and perceived value fit (PVF) as moderators to reveal the role of contextual perceptions in green consumption decision-making. Empirical results show that all conventional path hypotheses (H1–H6) are supported. Among the moderating effect hypotheses, H7b, H9a, and H10c are not supported, while the rest hold. Theoretical implications include the following: Perceived Usefulness (PU) and Perceived Enjoyment (PE) significantly and positively influence consumer satisfaction (SA), consistent with the Expectation Confirmation Model (ECM). Both external influence (EI) and interpersonal influence (II) significantly enhance subjective norms (SN), aligning with TPB theory. Self-efficacy (SE) and facilitating conditions (FA) positively affect perceived behavioral control (PBC), consistent with the DTPB model. Satisfaction, subjective norms, and perceived behavioral control significantly predict continuous usage intention (UI), with satisfaction showing the strongest effect, highlighting the importance of positive initial experiences for green behavior continuation. Full article

This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, the research combines concepts from two popular models—the extended Technology Acceptance Model (TAM) and the Satisfaction–Loyalty Model (SLM)—to understand what influences perceived value. The survey data were then analyzed with Structural Equation Modeling (SEM) to see how perceived usefulness, enjoyment, satisfaction, and value connect to users’ intentions. The results showed that “perceived value” is a big deal—the main factor driving whether people want to use AR filters. Things like how useful or enjoyable the filters are and how satisfied users feel all play a role in shaping this perceived value. These findings are gold for marketing teams and AR developers, especially in the catering world. Combining TAM and the Satisfaction–Loyalty Model offers a fresh perspective on how AR technology influences consumer behavior. On top of that, it gives practical advice for businesses looking to make the most of AR filters in their marketing and customer experience strategies. Full article

To correspond to the advancement of technology, programming has become an indispensable course in university curricula. However, students easily become confused by the rules governing program execution or by complex logical structures. Mastering program structure and logic often is a significant challenge for beginners, especially. Despite the availability of information on programming on various websites and tools, including generative artificial intelligence (AI), there is still a gap between conceptual understanding and practical application for beginners. They overlook important implementation details or struggle to grasp the flow of a program, making the mastery of program logic a persistent challenge. To address these issues, we have developed a system that dynamically generates process architecture diagrams. Users upload their code, and the system produces corresponding diagrams that decompose and execute the code line by line. Its visual representation allows users to observe the program’s execution and aids them in comprehending the sequence and operational flow of the code. By understanding the structure and logic of the program intuitively, this system supplements traditional teaching methods and AI-assisted question-and-answer tools. The experimental results demonstrated that students found the system helpful to track their learning progress (87%) and improved their understanding of program code (81%). Additionally, 84% of students reported that the system was easy to use, highlighting its user-friendliness. In terms of student interest, 83% of students agreed that the interactive elements made learning more engaging, indicating that the system positively contributed to dynamic and enjoyable learning. However, 63% of students reported an improvement in coding and were influenced by the complexity of the programming tasks assigned. Despite this, the overall satisfaction with the system developed in this study was high. Full article

Artificial intelligence (AI) is reshaping mobile food-ordering apps, yet its impact on customer experience (CX) has not been fully mapped. Following systematic review guidelines (PRISMA 2020), a search of SCOPUS, Web of Science, ScienceDirect, and Google Scholar in March 2025 identified 55 studies published between 2022 and 2025. Since 2022, research has expanded from intention-based studies to include real-time app interactions and live app experiments. This shift has helped to identify five key CX dimensions: (1) instrumental usability: how quickly and smoothly users can order; (2) personalization value: AI-generated menus and meal suggestions; (3) affective engagement: emotional appeal of the app interface; (4) data trust and procedural fairness: users’ confidence in fair pricing and responsible data handling; (5) social co-experience: sharing orders and interacting through live reviews. Studies have shown that personalized recommendations and chatbots enhance relevance and enjoyment, while unclear surge pricing, repetitive menus, and algorithmic anxiety reduce trust and satisfaction. Given the limitations of this study, including its reliance on English-only sources, a cross-sectional design, and limited cultural representation, future research should investigate long-term usage patterns across diverse markets. This approach would help uncover nutritional biases, cultural variations, and sustained effects on customer experience. Full article

Background/Objectives: Adverse effects of antipsychotics represent a significant limiting factor in achieving favorable therapeutic outcomes in the treatment of schizophrenia, and may contribute to a diminished quality of life among affected individuals. The primary objective of this study was to identify and evaluate the adverse effects of antipsychotics in patients diagnosed with schizophrenia who were treated at the social welfare institution, as well as to analyze the impact of these adverse effects on patients’ overall quality of life. Methods: A clinical, observational cross-sectional study was conducted, involving a sample of 278 patients diagnosed with schizophrenia. The patients were assessed in terms of their sociodemographic and clinical characteristics. Adverse effects of antipsychotics were evaluated using The Udvalg for Kliniske Undersøgelser (UKU) Side Effect Rating Scale, while quality of life was assessed in the previous study. Results: The average number of adverse effects per patient with schizophrenia was 3.56 for psychiatric, 1.18 for neurological, 2.62 for autonomic, and 7.12 for other side effects. The average UKU score was 17.22 ± 11.04, with significant differences based on accommodation, antipsychotic type, and dosing regimen. UKU scores were negatively correlated with the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) index, Visual Analog Scale (VAS) score, the Quality-of-Life Enjoyment and Satisfaction Questionnaire—Short Form (Q-LES-Q-SF) score, and the scores of physical and psychological domains of the World Health Organization Quality-of-Life Scale (WHOQOL-BREF). Conclusions: The findings of this study suggest that the presence of antipsychotic-related adverse effects is a significant determinant that can negatively influence the quality of life in patients with schizophrenia. These results underscore the importance of an individualized approach when determining pharmacological treatment strategies in the management of schizophrenia. Full article

Recent advancements in virtual reality (VR) technology have introduced a new paradigm in exhibition culture, with digital storytelling emerging as a crucial component supporting this transformation. Particularly in virtual exhibitions, digital storytelling serves as a key medium for enhancing user experience and maximizing immersion, thereby fostering continuous usage intention. However, systematic research on the structural influence of VR-based digital storytelling on user experience remains insufficient. To address this research gap, this study examines the impact of key components of digital storytelling in VR—namely, interest, emotion, and educational value—on presence, immersion, enjoyment, and continuous usage intention through path analysis. The results indicate that interest, emotion, and educational value all have a significant positive effect on presence. Furthermore, while interest and emotion positively influence immersion, educational value does not show a statistically significant effect. Presence, in turn, has a positive effect on immersion, enjoyment, and continuous usage intention, while immersion also positively influences enjoyment and continuous usage intention. Finally, enjoyment was found to have a significant positive effect on continuous usage intention. This study empirically validates the effectiveness of digital storytelling in virtual exhibition environments, offering valuable academic and practical insights. Theoretically, it contributes to the field by elucidating the complex and hierarchical relationships among three core factors—interest, emotion, and educational value—and their impact on user experience. Practically, the findings provide strategic guidelines for designing virtual exhibitions that maximize user immersion and satisfaction, reaffirming the importance of storytelling content that emphasizes interest and emotion. Full article

Knowledge visualization has gained significant research attention for its potential to facilitate knowledge construction through interactive graphics while minimizing cognitive load during information processing. However, limited research has examined the integration of knowledge visualization within highly interactive mixed-reality environments and its effects on user experiences and science, technology, engineering, and mathematics (STEM) sustainability. Drawing on the cognitive-affective model of immersive learning, this study investigates how learners’ user experiences, elicited by mixed-reality features and usability, influence their sustainable engagement with STEM learning through knowledge-visualization tools framed within the stimulus–organism–response model. A novel mixed-reality learning system was developed, with the user interface designed using concept maps to graphically visualize concept nodes and their interconnected relationships. A total of 136 learners from two high schools in China participated in an experiment on frictional physics using this novel system. Using structural equation modeling, the collected data were analyzed with partial least squares. The findings demonstrate that mixed-reality features of knowledge visualization (featured by 3D graphics, interface design, and operational functions), as well as usability (featured by the perceived usefulness of the concept map, perceived ease of use, and perceived usefulness of the system), have positive significant impacts on user experience (represented by satisfaction, perceived enjoyment, and attitude). Subsequently, positive user experiences have positive significant impacts on learners’ sustained intention to engage with STEM education. Further mediating analysis provides empirical evidence that positive user experiences, acting as a psychological enabler, mediate the relationship between system design and behavioral intention. The research model explains 65.2% of the variance for system usability, 53.4% for satisfaction, 51.5% for perceived enjoyment, 54.9% for attitude, and 63.2% for continuance intention. By fostering positive user experiences in STEM learning, this study offers valuable insights for educators and practitioners seeking to implement effective interactive knowledge visualizations to support sustainable STEM education and immersive learning. Full article