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Background: With the rapid advancement of AI and robotics, Human-Robot Interaction (HRI) has been increasingly adopted in medical care, educational counselling, service reception and other scenarios. User trust directly impacts robots’ acceptance and operational effectiveness, and the lack of such trust has become a key barrier to the development of human-robot collaboration. Purpose: This paper focuses on the construction mechanism of user trust in HRI, aiming to explore its key influencing factors and action paths to provide theoretical support and design insights for trust-oriented interaction design. Methods: The study combines literature analysis, typical case analysis, and cross-case comparison, summarizing core design features and user feedback of representative human-robot products at home and abroad. Results: This study proposes a multi-factor collaborative trust construction framework. It emphasizes that the design of future human-robot interaction should focus on establishing a dynamic trust relationship. This approach aims to improve the system's transparency, predictability and emotional connection to enhance the user acceptance and reliance on robots. The findings of this study are significant for optimizing user experience and increasing the social acceptance of intelligent interactive products Conclusion: The findings are of great significance for optimizing user experience and enhancing the social acceptance of intelligent interactive products, with practical implications for HRI design practice.
Background: The vibrant isiZulu exhibition “uBuciko bamaZulu aKwaZulu” was created specifically to commemorate Africa Month. It was on display at the Empangeni Art and Cultural History Museum from May 30 to July 31, 2025. It included the diverse artistic talents of Thabani Zulu (spray painter), Mantombi Mkhwanazi (beader), Thobani Mthethwa (draughtsman), Xolani Qwabe (mixed media artist) and Willis Nxumalo (sculptor) from Empangeni, KwaZulu Natal. Purpose: The exhibition sought to facilitate cultural exchange, artistic dialogue, and community-student engagement, exploring themes of identity, belonging, and cultural continuity. It aimed to address historical imbalances in South Africa’s art world and enhance the visibility of local artists. Methods: This study employed practice-led research that integrated curators’ emotional engagement and curatorial care for the artworks and exhibition setting, as well as practical participation by students. Results: This study bridged a gap between artists and the community, by creating a supportive environment that celebrated and preserved Zulu Art. Educational components, such as artist talks and walkabouts that were integrated into the exhibition program, provided opportunities for knowledge sharing and skill development. Conclusion: This study aspired to be more than just an art exhibition; it aimed to be a catalyst for cultural revitalization, artistic empowerment, and community cohesion, celebrating the enduring power and beauty of Zulu artistic expression during Africa Month and beyond.
Background: Although traditional culture plays an increasingly prominent role in China’s cultural development, inadequate promotion of Minnan culture, especially Zhangzhou embroidery, has constrained public engagement. Its traditional and outdated patterns restrict integration into modern fashion. Purpose: This study aims to enhance public understanding of Minnan intangible cultural heritage (ICH) and highlight AI technology’s role in its innovation. Methods: Research methods include literature review, field investigation, case studies, narrative research on ICH inheritance practices, and quantitative-qualitative integration, focusing on innovative expression. Results: AI technology has enabled the development of multiple sets of innovative Zhangzhou embroidery patterns, realizing the appropriate integration of Minnan cultural elements with new Chinese-style clothing, and providing practical approaches to boost the popularity of Minnan ICH and facilitate its integration into daily life. Conclusion: The study deepens public understanding of Minnan ICH, emphasizes AI’s positive role in fashion innovation, promotes the integration of Minnan culture into new Chinese-style clothing, and supports the preservation and innovative development of traditional culture in the new era.
Background: With the evolution of the times, the focus on the inheritance and innovation of traditional culture has gradually shifted, and a trend of integrating fine traditional culture with cultural and creative products has emerged in the consumer market. The discovery and excavation of the Sanxingdui site have driven the rapid development of the cultural industry centered on Sanxingdui culture, injecting new impetus into the design of cultural and creative products. Purpose: This study aims to explore consumers’ perceptions and demands for Sanxingdui cultural and creative products, thereby providing targeted suggestions for product design. Methods: Literature analysis, case studies, questionnaire surveys, the Kano model, and Better-Worse analysis (coupled with demand attribute classification) were employed to deeply explore and organize data, so as to clarify the internal structure and priority hierarchy of consumer demand. Results: Through rigorous analysis of questionnaire data and application of the Kano model, five dimensions of consumer demand were identified, and in-depth user demand analysis was conducted. Conclusion: Consumers prioritize experiential value and hold high expectations for the utility of Sanxingdui cultural and creative products. Exploring users’ potential needs can effectively improve satisfaction and engagement, while providing novel insights for the design of such products.
Background: The rising prevalence of hypertension is a major global health challenge. As a leading risk factor for cardiovascular diseases, it poses a major threat to human health, making hypertension prevention and management critical public health priorities. Accurate measurement and long-term consistent monitoring are essential for effective hypertension control. With the rapid advancement of internet and innovative technologies, integrating smart blood pressure monitors with dedicated mobile apps has become a prominent trend in blood pressure care. Purpose：This study focuses on the interface design of smart blood pressure monitors and their paired apps, aiming to offer practical insights for optimizing these digital health tools to enhance user acceptance, long-term engagement, intuitive experiences, and the sustainable development of intelligent health management systems. Methods: Adopting case analysis and literature review, three leading Republic of Korean smart blood pressure monitor apps were selected. Key analyses included user interaction processes, information architecture, and GUI elements (layout, color, icons, typography, data visualization). Results: The Omron HEM-7280T and its app feature a well-structured interface with clear information hierarchy, intuitive navigation, and strong usability. In contrast, the InBody BP170B app provides basic functions but lacks in-depth health insights and engagement features. The Biogram LS808-BS app has an overly complex, cluttered layout and insufficient guidance, causing confusion and reduced efficiency. These differences confirm that interface design significantly impacts user experience and management effectiveness. Conclusion: Smart blood pressure monitor design should prioritize both hardware performance and user-centric interface/app design. Given age-related variations in cognitive abilities, usage habits, and technology adoption, user research aligned with actual needs is crucial. Addressing user cognitive load and diverse contexts enables user-centered innovation, improving experience and hypertension control rates for more effective, sustainable blood pressure management.
Background: As the automotive industry advances towards intelligence, electrification and low-carbon solutions, transportation vehicle design education is also undergoing a transformation, gradually transitioning from basic styling training to developing systematic and interdisciplinary skills. The Conceive-Design-Implement-Operate (CDIO) educational concept provides a theoretical foundation for integrating engineering and design education. Purpose：This study aims to develop a transportation vehicle design curriculum system guided by CDIO to effectively combine design thinking with engineering logic, and enhance students’ systematic thinking , practical skills, and the ability to adapt to industrial demands. Methods: The research adopts a comprehensive framework that follow the sequence of “conception - design - implementation – operation.” It establish a project-based teaching loop that includes "demand insight - concept creation - digital model - solution iteration - verification and evaluation." In actual teaching, methods such as design thinking, digital modeling and virtual reality have been introduced into the classroom and hands-on activities. Additionally, through collaboration between schools and enterprises, along with dual-mentor system, the course content is closely aligned with industry demands. Results: After the implementation of the course, students’ comprehensive abilities from concept generation to system operation have significantly improved, and their skill to balance artistic intuition and engineering constraints has been further enhanced, providing a reference for designing and optimizing future courses. Conclusion: The CDIO framework effectively integrate project-based learning, interdisciplinary content and industrial practice, providing a feasible approach for the transformation of design education from a focus on “academization” to “industrialization.”
Background: Since China started its reform and opening-up, the widespread integration of international fashion symbols has led to the gradual erosion of traditional cultural motifs in apparel design, resulting to a notable uniformity in style. It is therefore imperative to explore pathways for revitalizing traditional symbols within modern design frameworks. Purpose: This study investigates the application of Artificial Intelligence Generated Content (AIGC) technology in transforming traditional costume symbols. The goal is to create modern visual representations while preserving cultural significance, thereby providing reference for cultural heritage in contemporary design. Methods: Rooted in semiotic theory, this research systematically analyzes the cultural connotations of Dong ethnic group’s baby carrier patterns to establish a theoretical framework for design reconstruction. Using platforms including Midjourney, we implement modern reinterpretations of the traditional spider motif through text-to-image generation and image fusion techniques. Results: The findings demonstrate that AIGC- assisted design significantly enhances pattern generation efficiency and enables diverse modern aesthetic expressions of the spider motif, expanding its applications in fashion and cultural creative products. However, delivering its cultural meaning effectively still needs human intervention for refinement. Conclusion: This study concludes that while AIGC technology effectively facilitates the visual modernization and application diversification of traditional symbols, it primarily functions as a technical tool rather than a cultural interpreter. The accurate transmission of cultural heritage remains dependent on human expertise. Future research should focus on developing specialized cultural databases and localized generative models to achieve more precise and meaningful cultural representation through human-AI collaboration.
Background: Chinese national instruments have carried millennia of cultural heritage from Chinese civilization, yet they confront severe preservation challenges amid Western cultural penetration and the homogenization trend in modern popular music composition, as the dominance of Western instruments has disrupted their inheritance. Purpose: To explore effective pathways for the organic integration of Chinese national instruments with modern popular music, and to deconstruct the underlying logic of instrument arrangement and the mechanisms of aesthetic inheritance in fusion works. Methods: Taking Jay Chou’s “All Night of Drizzling Rain” as the core case, this research adopts literature review, case analysis, musical analysis, and in-depth exchanges with professionals, supplemented by the deconstruction of musical scores and arrangement files. Results: The integration has evolved through four stages—Enlightenment, Pioneering, Expansion, and Diversification—while facing issues like homogenized creation and commercial distortion. The case song achieves a seamless fusion of tradition and modernity via precise arrangement, adaptive tonal adjustments, and adherence to cultural core values. Conclusion: The creative philosophy of “preserving essence while seeking innovation” is central to successful fusion. Establishing precise arrangement logic and culture-oriented concepts provides a feasible model, offering valuable reference for the living transmission of Chinese national instruments.
Background: In the context of rapid advancements in Artificial Intelligence Generated Content (AIGC) technology, AIGC short videos are transforming the landscape of cultural dissemination. As we faced the challenges of preserving intangible cultural heritage in the digital era,it is essential to explore the impact of AIGC, as a new mode of communication that influences the cultural cognition of Generation Z. This is a significant issue with both theoretical value and practical significance. Purpose: This study aims to investigate how the innovation, narrativity, and interactivity of AIGC short videos influence Generation Z’s awareness on the Intangible Cultural Heritage (ICH). The goal is to bridge relevant theoretical gaps and provide practical guidance for digital communication of ICH. Methods: A mixed-methods approach combining theoretical and empirical research was employed. A theoretical framework was developed through a literature review. Three representative AIGC ICH short video cases were selected for in-depth analysis. Furthermore, a total of 335 valid questionnaires were collected and analyzed using factor analysis and multiple regression to test the research hypotheses. Conclusion: The study indicates that the innovation, narrativity, and interactivity of AIGC short videos all have a significant positive influence on the ICH awareness of Generation Z, with narrativity having the most notable impact. These findings provide both theoretical foundation and practical implications for the creation and dissemination strategies of AIGC-based cultural heritage content.
Background: Since 1948, Porsche’s brand DNA featuring sporty styling, exquisite craftsmanship, innovative technology has been integrated into all of its models. In 2022, Porsche sold 272, 162 units globally, with Panamera contributing ~30% of those sales. Now, cars are valuable mobile assets, and the automotive industry is undergoing electrification, intelligence, and diversification. The Panamera must establish a balance between its interior design heritage with the need to adapt to current trends. Purpose: This study analyzes the inheritance and innovation mechanisms of Panamera interior designs from brand DNA perspective, explores its retention of brand uniqueness while adapting to market changes, and developing a design framework based on brand DNA. Methods: A mixed-method approach was adopted—combining literature review and case comparisons of classic models (911, 718) and the Panamera-to develop an analytical framework for brand DNA’s three core dimensions (sportiness, luxury, precision). Through focus groups, the semantic differential method, sales data and satisfaction surveys, the inheritance value and innovation potential of design elements were quantified. The gene translation path was broken down into material application, color matching and functional design to form multi-level evaluation indices. By integrating the theoretical analysis with empirical data, a brand DNA-oriented interior design inheritance and innovation evaluation system was established. Results: Porsche’s brand identity has three dimensions: sportiness, luxury, precision. The Panamera retains classic features, like five-circle instrument cluster and incorporate innovative elements such as touchscreens, sustainable materials. It maintains a balance between brand culture and consumer needs, achieving high satisfaction scores (9.2/10 in 2021, J.D. Power) and sales growth from 35,000 to 52,000 units between 2020-and 2023. Conclusion: The Panamera’s interior combines tradition and innovation, strengthening Porsche’s position as a leader in luxury. Future design will focus on intelligence, personalization, sustainability, providing a model for luxury automotive interiors.
Background: As AI and robotics advances, human–robot collaboration (HRC) is becoming more common in manufacturing, healthcare and service settings. This shift pushes interactive systems to focus more on intelligence and user-centered design. However, most systems prioritize task efficiency and automation over important human factors such as cognitive load, trust and interaction transparency. This oversight limits adaptability and negatively affects user experience, posing challenges for human–computer interaction (HCI). Purpose: This paper examines how to integrate human factors engineering into “systems.” It introduces an analytical framework focused on cognitive load, trust and interface transparency to enhance system adaptability and improve user satisfaction. Methods: This study combines a literature review and qualitative analysis to identify interaction strategies and design features from key collaboration scenarios. User feedback is then used to validate the impact of cognitive load, trust and transparency on these mechanisms. Results: The results show that integrating these human-factor variables improves usability, interaction effectiveness, and perceived trustworthiness. Reduced cognitive load and clearer interaction transparency help users better understand how the system works, while enhanced trust leads to more stable and sustained collaborative interaction. Conclusions: The research builds on existing HRC models by adding a human-factor dimension and offers evidence-based guidance for designing user-centered intelligent interaction systems with interdisciplinary relevance and broad applicability.
Background: Interdisciplinary learning is increasingly emphasized in industrial design education. Yet teaching practice continues to face challenges, including uneven disciplinary foundations, fragmented knowledge integration, and limited responsiveness to diverse learning needs. Purpose: This study intends to construct and validate an AI-mediated hierarchical teaching path, which supports interdisciplinary learning in industrial design education against the backdrop of emerging engineering education by aligning instructional content with students’ differentiated learning profiles. Methods: Drawing on precision teaching theory and a constructivist learning perspective, an AI-mediated hierarchical teaching path was designed and implemented. Students’ learning profiles were identified through an AI-based diagnostic process and grouped into three levels: basic, improvement-oriented, and innovation-oriented. Differentiated interdisciplinary learning activities were provided for each level, and teaching strategies were iteratively adjusted based on ongoing learning analytics and instructional collaboration. Results: The implementation led to the establishment of a curriculum system integrating professional core courses, interdisciplinary modules, and AI-supported collaborative learning platforms. Results indicate improved interdisciplinary collaboration among basic-level students, enhanced design feasibility among improvement-oriented students, and a 28% increase in national-level design competition awards among innovation-oriented students compared with previous cohorts. Conclusion: The findings demonstrate that AI-mediated hierarchical teaching can effectively enhance the adaptability of interdisciplinary instruction in industrial design education. This approach supports stratified student development and targeted instructional support, offering practical implications for interdisciplinary curriculum design and faculty development in higher education.
Background: Despite the consistent improvements in awareness, treatment, and control rates of hypertension, the global prevalence continues to increase. The proportion of patients achieving adequate blood pressure control remains alarmingly low. Additionally, while pharmacological adherence among individuals with hypertension is generally high, compliance to non-pharmacological lifestyle modifications—including dietary regulation, weight management, and other behavioral interventions—remains persistently insufficient. Current hypertension management frameworks often lack the capacity to be effectively tailored to patients’ individual lifestyles, thereby reducing the efficacy of comprehensive blood pressure control strategies. Purpose：This study aims to provide scientific and practical design guidance for the development of blood pressure management products tailored to local patients, thereby supporting long-term and effective hypertension self-management. Methods: Three hypertension management apps were selected from the Apple App Store based on screening criteria including download volume, user ratings, and functional completeness. A comparative analysis was conducted focusing on their information architecture at the functional level and five key elements of the graphical user interface—layout, color scheme, icons, typography, and data visualization—to identify characteristic design patterns and common usability issues. Results: The study found that the interface design of Smart Blood Pressure demonstrates high reference value, exhibiting strong usability and a positive user experience. Conclusion: Compared to the apps commonly bundled with commercially available smart blood pressure monitors, the three standalone apps analyzed in this study are better designed for adolescent and middle-aged hypertensive patients, but exhibit insufficient adaptability for older adults. It is recommended that future hypertension management applications incorporate differentiated and personalized user experience designs—tailored to the characteristics and real-world needs of diverse patient groups, such as age, digital literacy, and health status—to improve both usability and clinical effectiveness.
Background: In today’s global cinema, Bong Joon-ho is often discussed through the concept of auteur theory or as a representative of South Korean cultural export. Such perspectives tend to overlook the concrete formal techniques he uses to transform genre conventions into tools for cross-cultural social critique. Purpose: This study aims to examine how Bong Joon-ho reworks genre forms through narrative, spatial, and visual strategies to make class antagonism and structural inequality understandable to transnational audiences. Methods: Using qualitative textual analysis and case study methods, this research examines selected films directed by Bong Joon-ho. Using postmodern genre theory, cinematic space theories, and psychoanalytic film criticism, the study analyzes narrative structure, spatial organization, visual style, and genre hybridity to clarify how social meaning is created through cinematic form. Results: The analysis shows that Bong Joon-ho’s films consistently highlight class division, wealth inequality, and institutional violence. Rather than abandoning genre formulas, his films strategically reshape conventions associated with thriller, dark comedy, monster film, and disaster cinema. Spatial strategies such as vertical hierarchies, enclosed interiors, and restricted thresholds create social divisions and guide spectator focus toward marginalized subjects. These formal operations translate South Korean experiences of modernization into narratives influenced by global capitalism, enabling cross-cultural intelligibility while preserving local specificity. Conclusion: This study suggests that Bong Joon-ho’s filmmaking exemplifies a successful blend of auteurist expression and genre-based address, offering insight into how national cinemas can achieve international circulation through formally grounded social critique.
Background: Generative AI enhances the efficiency of personalized services, but it also creates complex choices for users about what information to disclose during multi-turn interactions. Although prior research has examined privacy-related risk, personalization-related benefits, and trust, empirical evidence on their combined effects in generative AI contexts remains limited. Objective: Utilizing privacy calculus theory and incorporating a trust perspective, this study investigates how Privacy Concern, Perceived Personalization Benefit, and Trust affect Disclosure Intention in generative AI contexts and compares their relative explanatory power. Methods: Questionnaire data from 302 valid respondents were analyzed using reliability analysis, exploratory factor analysis, correlation analysis, and multiple linear regression. Results: Privacy Concern had a significant negative effect on Disclosure Intention, whereas Perceived Personalization Benefit and Trust had significant positive effects. Among the three predictors, Trust showed the strongest explanatory power, followed by Privacy Concern, while Perceived Personalization Benefit exhibited a comparatively weaker effect. Conclusion: Disclosure in generative AI contexts is not merely a simple cost-benefit analysis; rather, it reflects the combined influence of risk perception, expected benefits, and the assurance of relationships. This study extends the scope of disclosure research to include generative AI settings and offers practical implications for privacy governance, personalization design, and trust building.
