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Background: The advancement of smart vehicle technologies has made human-computer interaction (HCI) interfaces more critical in enhancing user experience and safety. Compared with traditional cars, smart cars provide more sophisticated and intelligent HCI interfaces by integrating advanced technologies. Purpose: This study aims to analyze the differences in HCI interfaces between smart cars and traditional cars, as well as their impact on driving experience and safety. Additionally, it is intended to promote the design and innovation of HCI in smart cars. It helps manufacturers to integrate cutting-edge technologies and enhance competitiveness. It also serves as a reference for automobile manufacturers and designers to balance technological advancement and user needs, and to promote the development of the automobile industry towards intelligentization. Methods: Through literature review, the study analyzes the development, design concepts, and technical applications of human-computer interaction interfaces between intelligent and traditional automobiles providing theoretical support for future research. The case study examines typical intelligent cars and traditional automobile central control interfaces, comparing the two in terms of information presentation, interaction mode, and personalized settings. Comparative research selects sample cases of traditional cars and smart cars, analyzes the differences in interaction interfaces, and identifies the needs and challenges of users. Conclusion: In comparison of human-computer interaction interfaces between smart cars and traditional cars, smart cars significantly provide a more convenient user experience, which is difficult to achieve in traditional cars. Traditional cars, on the other hand, focus more on the usability and interaction efficiency. Therefore, when designing the interaction system for smart cars, it is necessary to take into account humanization and user habits, simplify functionality, and ensure that drivers can smoothly transition into the smart driving environment so as to enhance the fun of interaction.
Background: Pet cats’ role as family members has been increasing due to the accelerated pace of modern life, resulting in significant growth in the pet cat toy market. Purpose: This study aims to explore the problems associated with existing pet cat toy balls, with the goal of providing safer, healthier and more engaging toy balls for pet cats. It aims to provide pet owners with a more enjoyable environment for human-pet interaction, and to improve the quality of life for both humans and their pets. Methods: The study explores the behavioral habits, emotional and psychological needs of pet cats by means of literature survey, case analysis and comparative study, resulting in the proposal of a series of design principles and elements. The study indicates that the design of emotional toys for cats should focus on sensory stimulation, safety, durability, cleanliness and innovation. The design case studies cover emotional soothing toys from Japan, Europe, America, Korea and China, demonstrating design concepts from different cultural contexts. Results: The study proposes a new pet cat soothing toy ball design that combines the characteristics of cat nature and human cervical membrane massage ball, which considers safety, durability, interactivity, and is implemented using silicone mold one-piece technology. Design optimization and iteration further enriched the diversity and appeal of the toys to suit pet cats of different sizes and preferences. Conclusion: The study concluded that the pet cat soothing toy ball design not only meets the demands of pet owners for high-quality pet products but also strengthens the emotional connection between pet cats and their owners through emotional design, and improves the quality of life of the pets. The optimization and iteration of the design demonstrates the sustainable development potential of the product, introduces a new innovative direction, and anticipates a wide range of applications of emotional design within the field of pet supplies industry.
Background: Artificial Intelligence Generated Content (AIGC) technology has shown rapid advancement in the design field. However, problems such as the homogenization of artistic language had restricted the high-quality development of the design industry. This study analyzes Zhou Lingzhao's stamp design as a reference system to overcome this bottleneck. Purpose：The core objective of this study is to analyze the challenges associated with the application of AIGC technology, to extract the innovative paradigms and aesthetic strategies from the classic case of Zhou Lingzhao's stamp design, and to construct a practical path for AIGC to collaborate with hu-man-machine interactions in generating stamp designs. Methods: The research systematically organizes the status of AIGC technology and the connotative characteristics of Zhou Lingzhao's artistic idea adopting literature analysis and case study method, while exploring the symbiotic potential of the two at the level of creative mechanism. Results: Horizontal comparison shows that Zhou Lingzhao's stamp design method provides a triple optimization dimension for the application of AIGC technology in the field of design: 1) in terms of national expression; 2) concerning artistic technique; 3) in relation to emotional narrative. The existing AIGC-generated content is difficult to achieve the equivalent depth of artistic expression. Conclusion: This study proposes three major strategies for optimizing AIGC technology: Firstly, constructing a framework for human-computer collaborative creativity; Secondly, developing a national cultural knowledge graph; Thirdly, to develop domain-specific professional models. Eventually, an innovative path of integrating the evolution of intelligent technology with traditional artistic wisdom will emerge.
Background: Artificial Intelligence Generated Content(AIGC) technology has brought about profound changes to the paradigm of art creation, rendering the traditional assessment system in the field of digital art ineffective. As a result, there is increasing pressure to reevaluate the standard used to judge value in the art market. Purpose: This study aims to analyze how AIGC technology disrupts the cultural capital-based valuation paradigm of traditional art. It seeks to construct a new theoretical framework for digital art valuation by integrating Bourdieu’s cultural capital theory and Roland Barthes’ concept of the “death of the author.” The research proposes dynamic appraisal dimensions, such as algorithmic transparency and social consensus mechanisms, to reconcile technological innovation with the institutional norms of the art market. Methods: The research employs a mixed-methods approach, involving a critical interpretation of cultural capital theory within the context of algorithmic production. It features a comparative analysis of over 300 traditional and digital art auction records (2018–2024) from platforms like Christie’s and OpenSea. Additionally, in-depth case studies of high-profile disputes, including the 2023 Picasso-style AI artwork infringement case, will be conducted to trace shifts in value attribution. Findings: The study reveals a paradigm shift from “cultural capital accumulation” to “algorithmic capitalization,” where technical parameters and social participation metrics emerge as core value drivers. This change challenges the authority of traditional art institutions. It highlights the necessity of legal innovations, such as hybrid copyright systems recognizing “algorithmic authorship with human oversight,” to address issues realated to ownership. Conclusion: This research offers an interdisciplinary framework for reconstructing art valuation as a process that is integrated with technology and encourages public participation. It provides practical guidelines for art markets, including algorithmic audit protocols and decentralized governance models. Additionally, the study provides policy recommendations advocating adaptive legal frameworks to balance innovation and cultural heritage protection.
Background: The rapid advancement of Artificial Intelligence (AI) presents new opportunities for protecting cultural heritage and enhancing of industrial growth. As a result, the construction of traditional toy genetic maps and AI-driven design innovation has become essential for the ongoing cultural and industrial development. Purpose: This study aims to: 1) develop a multi-dimensional cultural gene mapping model for traditional toys that covers morphological, craft, and symbolic dimensions; 2) propose an AI-driven framework to translate tacit cultural knowledge into explicit digital expressions; 3) clarify the transformative role of AI in reconstructing the traditional toy industry ecosystem. Methods: This research adopts a mixed-method approach based on cultural gene theory and knowledge engineering. It analyzes over 120 typical motifs and 30 craftsmanship techniques. By employing machine learning algorithms such as Convolutional Neural Networks (CNN) for form recognition and Long Short-Term Memory (LSTM) networks for craft process modeling, the study aims to build digital gene libraries. The findings are validated through case studies of toy categories including Niren Zhang clay figures, fieldwork conducted at eight heritage sites, and interviews with 20 industry experts. Results: The study develops a three-layer gene model consisting of morphological genes, craft genes, and symbolic genes. The AI framework enhances design iteration efficiency by 42% and improves cultural symbol accuracy by 35%. It also fosters democratized design with 62% of innovative patterns emerging from non-experts in pilot projects. Conclusion: This research establishes a framework in which AI serves as a medium for cultural re-creation rather than merely a tool. The cultural gene mapping model offers a scalable solution for digitizing intangible heritage, while the design framework bridges traditional craftsmanship with modern innovation.
Background: As consumer demand shifts from functional utility to emotional value, China's cultural and creative industries have emerged as a critical pillar of economic and cultural development. However, these industries currently face challenges of product homogenization and superficial cultural expression. The successful localization of the British brand Jellycat in China, which leverages emotional design strategies, offers insights for Chinese cultural and creative enterprises seeking to combat homogenization. Guided by Norman’s three-level model of emotional design, this study uses Jellycat’s localization case to analyze how emotionally-driven cultural and creative features influence consumer purchase intention, and explores the transition from "simple imitation" to "cultural adaptation" in product development. Methods: This research uses the "Tianshui Malatang" series from the Gansu Provincial Museum as a case study and employs a quantitative approach. Data from 300 valid questionnaires were analyzed using SPSS 29.0 regression models to examine the effects of four key dimensions—cultural connotation, entertainment value, artistic aesthetics, and innovative design—on purchase intention. Results: The regression analysis shows that all four dimensions significantly and positively impact purchase intention, with the model accounting for 36.9% of the variance (p < 0.01). Among these, entertainment value demonstrates the strongest influence. Additionally, diagnostic tests confirm no significant collinearity issues among the independent variables. Conclusion: Cultural and creative products should enhance interactive elements, deepen cultural interpretation, and optimize artistic and innovative design. Emotional design proves to be an effective strategy for enhancing market competitiveness. Future research may incorporate cross-cultural comparative studies and qualitative methodologies to enrich the understanding of emotional design in various contexts.
Background: Advances in digital virtual technology have transformed museum display design, shifting from static exhibits to dynamic, interactive experiences that prioritize human-centered emotional engagement. This shifts underscores the need to understand how such technologies enhance audience experiences and facilitate cultural transmission. Purpose: This study analyzes museum display policies, cultural artifact presentation methods, and industry trends to evaluate the role of digital virtual technologies in fostering emotional experiences, categorizing their applications, and envisioning future museum development. Methods: A mixed-methods approach was employed, including case studies of technology-integrated museum exhibitions, conducting a systematic literature review, and performing fieldwork at museums utilizing digital innovations. Results: Technologies such as virtual reality, augmented reality, holographic projections, and interactive installations deepen audience emotional connections, enhance understanding of cultural artifacts, and increase participatory engagement. Conclusion: Integrating digital virtual technologies with cultural artifacts introduces innovative interpretive methods, significantly enriching audience emotional experiences and advancing cultural and societal progress. As these technologies evolve, human-centered design will be critical in shaping museum experiences, supporting education, and promoting cultural transmission. Future research should explore on finding strategies that balance emotional impact with accessibility.
Background: The integration of technological innovation into performance costumes has been extensively explored, yet existing research mainly focuses on specific periods or individual technical cases. There is a lack of comprehensive exploration of mechanical elements in female concert costumes over time. Therefore, a systematic study explaining the evolution of performance costumes driven by mechanical aesthetics is urgently needed. Purpose：Using a ten - year cycle as a reference, this study traces the evolution path of mechanical aesthetics in performance costumes, analyzes its development logic, bridges the theoretical gap, and provides an analytical framework for design practices. Methods: Using literature analysis, case studies, historical evolution analysis, and interdisciplinary research methods, this paper examines the concert costumes of female singers from the 1980s to the 2020s. Results: Research shows that early mechanical aesthetics in costumes featured only simple decorative applications. As technology advanced, innovative combinations of function emerged, including the use of LED lighting devices. Currently, cutting - edge technologies drive high - level innovation, significantly enhancing the complexity and integration of mechanical elements. Conclusion: The mechanical aesthetics of performance costumes integrate technological design with cultural symbols. Understanding how these aesthetics have evolved can serve as a reference for costume innovation in the digital age. Future research could futrther explore this topic through cross - cultural comparisons and longitudinal studies.
Background: The rapid advancement of artificial intelligence (AI) has accelerated the growth of AI-generated content (AIGC), with China's AIGC industry projected to surpass 70 billion yuan by 2026. AI-generated advertising is transforming the advertising landscape, however, research on its characteristics and their impact on consumer behavior remains limited compared to traditional advertising. Purpose: This study examines the entertainment value, informativeness, and innovativeness of AI-generated advertisements and their influence on consumers’ purchase intentions. Through a comparative analysis of multiple brand cases and empirical research, this study aims to develop a framework for analyzing the characteristics of AI-generated advertising and provide theoretical insights that can enhance intelligent advertising practices Methods: A literature review was conducted to synthesize prior research on advertising characteristics. Case studies of three distinct brands were analyzed to explore the features of AI-generated advertisements. Empirical research was employed to test theoretical hypotheses and assess how these characteristics affect consumers’ purchase intentions. Conclusion: Unlike prior research, which predominantly focuses on traditional advertising, this study highlights the role of entertainment, informativeness, and innovativeness in AI-generated advertisements. The results of the multi-brand case analysis and empirical research demonstrate that all three characteristics significantly enhance consumers’ purchase intentions, with informativeness exerting the strongest influence, followed by entertainment and innovativeness.
Background: The rapid development of generative artificial intelligence (AI) is fundamentally changing the creative practices of design students in higher education. This major shift needs a thorough examination of how AI influences their creative development. Purpose: This study aims to investigate the specific impact mechanisms of generative AI on the creative process of design students and to propose effective, evidence-based optimization strategies. Methods: We used a rigorous mixed-methods approach, integrating a comprehensive literature review, in-depth case studies, and controlled educational experiments. This allowed for a systematic exploration of how technological intervention facilitates the multidimensional reconstruction of creative thinking. Results: Our findings highlight generative AI's multifaceted impact on design students. Cognitively, AI broadens conceptual boundaries by enabling vast data retrieval, yet risks over-reliance on existing patterns, which can hinder originality. Behaviorally, AI tools boost prototype iteration efficiency but may inadvertently lessen deep critical thinking. Emotionally, human-machine collaboration stimulates innovation, but can also lead to increased anxiety. Based on these insights, we propose a "three-dimensional collaborative" educational strategy. This includes a curriculum based on an "AI Toolchain Design Methodology," a "Process-Based Creativity Graph" evaluation model, and the establishment of school-enterprise AI design laboratories with ethical guidance. Conclusion: This research provides a critical theoretical foundation and actionable practical pathways for the ongoing reform of design education in the age of artificial intelligence. It also lays essential groundwork for future longitudinal studies exploring the advance applications of generative AI in educational contexts.
Background: The floral patterns found in the murals of Yongle Palace represent a significant cultural and artistic legacy from Yuan Dynasty in China. These motifs, which are deeply rooted in religious and symbolic traditions, have great potential for reinterpretation in modern design contexts. Purpose: This study explores how traditional patterns from the Yongle Palace murals can be digitally extracted, reimagined, and integrated into modern cultural and creative product design. The goal is to find new strategies for preserving and restoring heritage through technological means. Methods: An interdisciplinary methodology was employed, combining art historical analysis, design research, user studies, and digital visualization. Tools such as CiteSpace enabled literature mapping, while generative AI platforms supported motif extraction and design iteration. Results: Three primary pattern types—botanical, geometric, and composite—were identified and adapted for contemporary applications use in textiles and household items. Digital reconfiguration preserved traditional aesthetics while aligning with modern design sensibilities. Conclusion: The integration of AI with traditional cultural assets demonstrates a promising model for heritage innovation. This research highlights how digital design tools can enable the reinterpretation of historic visual culture, offering new relevance in creative industries and global cultural discussions.
Background: National policies that promote the preservation of intangible cultural heritage recognize Gaomi puff ash New Year's paintings as an important Shandong folk art form. These paintings feature rich floral patterns with distinctive symbolic and decorative meanings, which require modern conservation. Purpose: This study centers on these floral patterns, examining their traditional visual characteristics and cultural symbolism, exploring their integration into modern clothing design, and highlighting the patterns' recent transformation to infuse products with unique cultural connotations and aesthetic value. Methods: The research employs literature reviews, field surveys, and literature visualization based on CiteSpace to collect and analyze materials related to Gaomi puff ash New Year's paintings. It further conducts secondary design of the patterns using Procreate, AI, and shape grammar. Results: The study defines the visual and symbolic attributes of the floral patterns, establishes a feasible path for their transformation into modern clothing designs through shape grammar, and verifies the adaptability of traditional motifs in modern fashion contexts. Conclusion: Exploring the innovative application of these patterns in modern clothing design offers new insights for preserving and innovating intangible cultural heritage, contributing to the protection and preservation of traditional culture in contemporary society.
Background: Media convergence presents significant opportunities for revitalizing heritage brands, particularly in regions with rich industrial histories. Liaoning Province, China, hosts numerous century-old brands that represent profound cultural and commercial traditions. Exploring their adaptation to the modern media landscape is crucial for preserving historical value and maintaining economic vitality. Purpose: This study investigates how Liaoning’s heritage brands leverage media convergence to address modern challenges and strengthen their market presence. Methods: The research combines literature review, case studies, and fieldwork to analyze the historical evolution, cultural significance, and modern media strategies of selected Liaoning heritage brands. Results: Heritage brands face challenges such as outdated brand identities, intensified market competition, and changing consumer preferences. Nevertheless, strategic adoption of digital platforms—including social media and short-video applications—significantly enhances brand visibility and attracts younger audiences. Conclusion: Effective integration of media convergence strategies enables Liaoning’s heritage brands to revive their identities and sustain market relevance. The study offers practical insights and recommendations for preserving and enhancing these traditional brands in the digital age.
Background: Museums are key institutions for preserving relics and conveying cultural values. However, traditional display methods fail to meet the public's growing demand for engaging cultural experiences, especially in the digital era, where technologies like augmented reality (AR) and virtual reality ( VR) are advancing rapidly. This has prompted museums to innovate with online exhibitions, transforming into interactive, multi-functional cultural spaces. Purpose: This study aims to explore how AR technology enhances museum user experiences, enabling immersive cultural engagement, promoting widespread cultural resource sharing, supporting cultural and creative industries, and driving dual progress in social culture and economy. Methods: The research examines AR applications in museum user experience design through literature review and case analysis, focusing on innovative practices. Results: AR technology shows significant impact in multiple museum scenarios, it enriches tour services by enabling dynamic navigation and historical scene reconstruction, as seen in the Zhang Qian Memorial Hall and Sichuan Museum. This leads to enhanced immersion and extended visitor stay time. Additionally, AR transforms exhibit presentation via 3D modeling and contextualized learning environments, addressing space constraints; strengthens interactive experiences through intuitive interfaces and multi-sensory engagement, boosting participation and memory retention. Furthermore, AR revolutionizes educational communication with tools like the "Met AR" app, improving information retention and making content more accessible. Conclusion: The study summarizes innovative methods with social, industrial, and cultural value, providing systematic theoretical support and practical references for the digital development of museum user experience design.
Background: China’s aging population worsens the imbalance between the supply and demand for elderly care resources. Applications that provide elderly care service integrating medical, caregiving, and daily life functions are critical for promoting digital inclusion. However, the factors that influence seniors’ adoption of these technologies have not been thoroughly examined. Purpose: This study explores how three core attributes—perceived ease of use, perceived usefulness, and perceived safety—affect elderly users’ behavioral intentions, aiming to inform app optimization and advance smart elderly care practices. Methods: A mixed-methods approach was adopted, combining literature review, functional analysis of 3 mainstream apps, and quantitative analysis of 302 valid questionnaires via SPSS regression modeling. Results: The findings indicate the following key points: 1) Perceived ease of use is the strongest predictor of behavioral intention, as a simplified interface and smooth operation directly enhance user engagement; 2) Perceived usefulness ranks second, with practical functions significantly improving user retention; and 3) Perceived safety primarily fosters trust but has relatively limited direct impact on engagement. Conclusion: Three optimization strategies are proposed: 1) Develop age-appropriate interaction frameworks with simplified operations; 2) Enhance the adaptability of core services (e.g., health monitoring, emergency calls); 3) Integrate transparent data encryption and privacy protection measures. This study provides empirical support efforts in bridging the digital divide and promoting sustainable innovation in smart elderly care.
Background: Blood pressure monitors are medical devices that accurately measure blood pressure, enabling individuals to monitor their blood pressure levels. As hypertension has become more prevalent and awareness of blood pressure management has increased, the demand for these monitors has grown significantly high, making them essential tools for household health management. In this context, designing efficient and comfortable user experiences for blood pressure measurement has become a critical focus for deisgners, who aim to support users in effectively managing their blood pressure levels . Purpose：This paper aims to enhance the design of user interface (UI) for innovative blood pressure monitors. Methods: An integrated approach combining literature review and case comparison was used to examine UI designs of home-use blood pressure monitors, with a focus on the characteristics of tangible user interfaces (TUIs) and graphical user interfaces (GUIs). Results: For physical interfaces, function buttons using letters or graphic symbols were more difficult to recognize than those with plain text, resulting in underutilization of certain functions. For graphical interfaces, a comparative analysis of five brands’ measurement displays revealed variations in information layout, data volume, and graphic design. Among these Omron J735 and Yuwell S67XR exhibited relatively better performance. Conclusion: Blood pressure monitor display must be optimized to better address users’ specific needs. Enhancing information layout, data quantity, and graphic clarity will ensure easy access and accurate interpretation of health information for users of all ages and abilities.
