Creative Design Research Articles

The Application of 3D Printing Technology in Yuan Blue-and-White Porcelain Art

Yuan blue-and-white porcelain, as a representative of Chinese ceramic art, is highly appreciated for its unique artistic value and cultural connotations. With the advancement of technology, the application of 3D printing technology in artistic creation has become increasingly widespread. This paper explores the specific applications of 3D printing technology in Yuan blue-and-white porcelain art, including improving the production process and promoting the complexity and innovation of designs. Through 3D printing technology, artists can accurately reproduce complex design patterns, enhancing production efficiency and quality while reducing errors associated with manual crafting. Additionally, 3D printing technology provides artists with greater design freedom, breaking the limitations of traditional manual techniques and making Yuan blue-and-white porcelain art more diverse. By analyzing specific cases, this paper demonstrates the practical effects of 3D printing technology in improving creation efficiency and quality. For instance, using 3D printing technology, artists can quickly produce multiple Yuan blue-and-white models for experimentation and adjustment, saving time and costs. For complex patterns and shapes, 3D printing technology can complete them in a short time, allowing artists to focus more on creative design. Furthermore, 3D printing technology enables high-precision repetitive production, ensuring consistency in quality and appearance of each piece. In the future, as 3D printing technology continues to develop, its application in Yuan blue-and-white porcelain art will become more extensive and in-depth, bringing more innovation and development opportunities to this traditional art form.

Generative Artificial Intelligence in Graphic Design Education: A Student Perspective

Generative Artificial Intelligence (GenAI) is re-defining the way higher education design is taught and learned. The explosive growth of GenAI in design practice demands that design educators ensure students are prepared to enter the design profession with the knowledge and experience of using GenAI. To facilitate GenAI’s introduction in a project-based context, it is suggested that design educators use critical engagement as a starting point to assure students understand the strengths and weakness of GenAI in the creative design process. There is little guidance on how to systematically integrate GenAI in design studio practice while maintaining a critical perspective of the ethical issues it has engendered. This research explores student attitudes toward GenAI, frequency of its use, and student perception of its impact on their future design careers. A survey of a representative cohort of graphic design students (n = 17) reveals a pragmatic acceptance that GenAI will change how design is practiced and a concurrent willingness to learn more on how to use it effectively and ethically. The survey validates the need for design educators to engage and guide students critically in their understanding and use of GenAI within studio and professional practice.

Analysis Of The Influence Of Product Quality, Price Perception, Promotion, And Location On The Purchasing Decisions Of Civiartss Bouquets Among Students In Surabaya

A bouquet business is a promising and timeless venture. Various types of products are offered with a wide range of creative designs. The business is supported by the trend of celebration events, particularly thesis defense celebrations by university students, which have made bouquets highly sought after, with orders often reflecting the latest trends. This study aims to determine the influence of product quality, price perception, promotion, and location on students' purchasing decisions for Civiartss bouquets in Surabaya. The research employs a quantitative method involving 100 respondents selected through purposive sampling. The respondents consist of university students in Surabaya who have purchased Civiartss bouquets and are enthusiasts of celebrations. Data collection involved both primary and secondary data, and the analysis was conducted using the Partial Least Squares (PLS) technique with validity, reliability, and hypothesis testing. The results of the study indicate that (1) there is a significant and positive influence of product quality on the purchasing decisions for Civiartss bouquets, (2) there is a significant and positive influence of price perception on the purchasing decisions for Civiartss bouquets, (3) there is a significant and positive influence of promotion on the purchasing decisions for Civiartss bouquets, and (4) there is a significant and positive influence of location on the purchasing decisions for Civiartss bouquets.

Design-based learning in higher education: Its effects on students’ motivation, creativity and design skills

In art and design education, the roles of motivation and creative performance in design skills hold immense significance for design students. As such, the teachers’ instructional strategies are crucial. Among these strategies, design-based learning (DBL) is one of the important instructional processes that integrates design principles, problem-solving skills, and creative thinking to engage students in hands-on, authentic learning experiences. This study aimed to investigate the effects of DBL on the motivation, creativity, and design skills of students in art and design education. Pre- and post-test experimental research was conducted on 207 participants who specialize in art and design education at Kazan Federal University and the Kazan State Institute of Culture. Employing non-probability sampling, they were assigned to an experimental (treatment using DBL; 105 students) and a control (traditional instruction; 102 students) group. The findings demonstrated that the experimental group significantly outperformed the control group, while no significant interaction was observed between groups and sexes in the development of motivation, creativity, and design skills. Moreover, achievement motivation was found to significantly influence creative performance and design skills. This research serves as a valuable resource for educators and researchers, as it offers insights into fostering the creative performance of students within the field of art and design education.

Exploring Designer Trust in Artificial Intelligence-Generated Content: TAM/TPB Model Study

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

Pembelajaran Kaya Literasi dan Numerasi: Pendampingan Guru SD dalam Mendesain Pembelajaran Inovatif

The literacy and numerical learning outcomes of Golewa District primary school pupils were found to be in a very good category. In order to move these learning outcomes into the good category, support for elementary school teachers is needed to improve these results. Initiating learning that is rich in literacy and numeracy through mentoring activities in the development of creative learning designs for elementary school teachers in the Golewa District is one of the many efforts that need to be made. Training and lectures were used to carry out this work. Following data collection, a descriptive analysis was conducted to characterise the growth in teachers' knowledge and proficiency in creating lessons that are dense with numeracy and literacy material. Based on the actions that have been carried out, it can be concluded that the teacher's understanding of the concepts of literacy and numeracy is good. Apart from that, teachers have the skills to design learning that is multiple in literacy and numeracy for innovative learning.

The effect of artificial intelligence on creativity in conceptual design in architectural education: the motion of biomimetics and futurism

The effect of artificial intelligence on creativity in conceptual design in architectural education: the motion of biomimetics and futurism

Synergistic effect of Ni(OH)2 and MXene nanosheets in 3D framework on the improvement of dielectric, energy storage, mechanical and thermal characteristics of polyvinylidene fluoride(PVDF) polymeric composites

This work introduces a novel method for incorporating meticulously designed nanohybrids to improve the dielectric characteristics of polymer composites. Conventional ceramic fillers have problems with dispersion even if they are good at increasing permittivity. Here, we overcome this constraint by creating nanohybrids made of MXene, polyvinylidene fluoride (PVDF), and single-layered and three-dimensional Ni(OH)2. An essential coupling agent, polyethyleneimine (PEI), fosters a robust electrostatic connection between Ni(OH)2 and superior adhesion with MXene. Using only 9.5 wt percent filler loading, we are able to achieve a low loss tangent (tan δ=0.4) at 1 kHz with a considerable permittivity improvement (ε=1000) thanks to this creative design. The nanohybrid structure's ability to promote longer interfacial contact is crucial to this enhancement. Moreover, the integrated Ni(OH)2 layer functions as a semiconductor, obstructing the passage of current through the MXene flakes and lowering conductivity overall. At a low Ni(OH)2/MXene loading of 1.5 wt%, our three-phase composites also show higher dielectric strength (248.68 MV/m). Specifically, the synergistic coupling of MXene with Ni(OH)2 provides notable increases in mechanical and thermal properties. The tensile strength and Young's modulus of these films are much higher than those of virgin PVDF and Ni(OH)2-modified composites.

Computer-Aided Multimodal Fusion in Product Creative Design

Computer-Aided Multimodal Fusion in Product Creative Design

The Application of the Porcelain Carving Art in the Creative Design of the Fragments of Jian Zhan Bowls

Although the fragments of Jian Zhan bowls are not the complete Jian Zhan bowls, they still keep the unique pattern and glaze beauty essence of Jian Zhan bowls. Coincidentally, The art of porcelain carving is made from porcelain fragments like the fragments of Jian Zhan bowls. This paper takes art, design and other related theories as a guide, combines the current situation and characteristics of the respective development of the porcelain carving art and Jian Zhan bowls, and researches the application of the porcelain carving art in the design of fragments of Jian Zhan bowls from the perspective of jewelry design, and explores its design application and application value.

Deep Learning-Based Hand-Drawn Illustration in Packaging Design of Cultural and Creative Products

Packaging design is a critical component of product marketing and branding, encompassing the visual and structural elements that encase and present goods to consumers. The hand-drawn illustration is a timeless art form that embodies the unique style, skill, and creativity of the artist's hand. This paper presents a novel approach to deep learning techniques for enhancing packaging design through the classification of hand-drawn illustrations. The proposed model is stated as a Weighted Augmented Deep Generative Network (WADGN). The proposed WADGN model uses the augmentation network for the generation of the augmented images for the creative products. With the augmented images features are extracted in the hand-drawn illustration of the products. The extracted features are implemented with the weighted augmented feature vector for the application of the generative deep learning network. The proposed WADGN model uses the feature vector of the deep learning model for the design of creative product design. With the deep learning the creative features of the hand-drawn illustration are classified for the creative package design. Simulation results demonstrated that proposed WADGN model higher performance than the conventional technique such as CNN, LSTM and SVM classifier. The proposed WADGN model achieves the ~21% higher performance than the SVM, ~16% than the LSTM and ~9% improvement than the CNN model.

Innovative Approaches to Optimize Clinical Transporter Drug-Drug Interaction Studies.

Of the 450 cell membrane transporters responsible for shuttling substrates, nutrients, hormones, neurotransmitters, antioxidants, and signaling molecules, approximately nine are associated with clinically relevant drug-drug interactions (DDIs) due to their role in drug and metabolite transport. Therefore, a clinical study evaluating potential transporter DDIs is recommended if an investigational product is intestinally absorbed, undergoes renal or hepatic elimination, or is suspected to either be a transporter substrate or perpetrator. However, many of the transporter substrates and inhibitors administered during a DDI study also affect cytochrome P450 (CYP) activity, which can complicate data interpretation. To overcome these challenges, the assessment of endogenous biomarkers can help elucidate the mechanism of complex DDIs when multiple transporters or CYPs may be involved. This perspective article will highlight how creative study designs are currently being utilized to address complex transporter DDIs and the role of physiology-based -pharmacokinetic (PBPK) models can play.

Investigative analysis of Hongshan culture pattern design proposed through creative product design

Investigative analysis of Hongshan culture pattern design proposed through creative product design

Exploring synergies between AIGC and TRIZ in the optimisation of road cone design through integrated innovation methods

Utilising the Theory of Inventive Problem Solving (TRIZ) and Artificial Intelligence Generated Content (AIGC) models, this paper explores AI-assisted creative design and uses traffic cone design as a case. The objective is to evaluate whether AIGC can assist or potentially replace TRIZ in this field. Despite TRIZ being an established methodology renowned for its effectiveness in systematic problem solving, it faces challenges related to implementation complexity and adaptability across different cultures and industries. In contrast, AIGC, through its data-driven tools, offers automation and enhanced innovation, showing promise to overcome these limitations. Evidence from qualitative case studies and quantitative studies indicate that while AIGC enhances the efficiency and stability of creative models, its limitations in system analysis and innovative thinking prevent it from independently solving complex creative design issues, thereby not fully replacing TRIZ. However, AIGC can effectively complement the TRIZ model by enhancing the practicality of solutions through its data processing capabilities, thereby improving overall design efficiency and innovation. This synergy has the potential to accelerate the development of innovative solutions and conceptual designs, indicating that integrating AIGC with TRIZ leverages the strengths of both methodologies to produce more effective and innovative design outcomes.

Commentary: Tracing the fate of metabolic substrates during changes in whole-body energy expenditure in mice

For small mammals, such as mice, cannulation procedures can be quite challenging, limiting research associated with tracing isotopically labelled substrates at the whole-animal level. When cannulation in mice is possible, assessment of substrate use is further limited to when mice are either under anesthesia or are at rest, as there are no studies directly quantifying substrate use during exercise in mice. The use of isotopic tracer techniques has greatly advanced our knowledge in understanding how metabolic substrates (carbohydrates, amino acids, and fatty acids) contribute to whole-body metabolism. However, research regarding tissue-specific fuel use contributions to whole-body energy expenditure in mice at varying metabolic intensities (i.e., exercise) is lacking, despite the popularity of using mice in a variety of metabolic models. In this commentary, we briefly discuss the methodologies, advantages, and disadvantages of using radiolabelled, positron emission, and stable isotopes with a specific focus on fatty acids. We highlight recent mouse studies that have used creative experimental designs employing the use of isotopic tracer techniques and we briefly discuss how these methodologies can be further pursued to deepen our understanding of substrate use during exercise. Lastly, we show findings of a recent study we performed using a radiolabelled fatty acid tracer (14C-bromopalmitic acid) to determine fatty acid uptake in 16 muscles, two brown and two white adipose tissue depots during submaximal exercise in deer mice.

Examining the Relationship Between Innovative Product Design, Cognitive Ergonomics, and the Effectiveness of Entity Design-system: Focusing on the Environment of Big Data-driven Interface

The evolution of design systems has undergone a transformative shift towards entity-based frameworks. These systems represent a paradigmatic departure from traditional design approaches by structuring design elements around modular, reusable components known as entities. This study examines the elements that affect entity-based design system effectiveness and its effects on computer-related sectors. The study examines how creative product design, cognitive ergonomics, and big data-driven interfaces affect system efficacy. The study also examines how information processing efficiency mediates and technology infrastructure moderates the relationship between design elements and system results. Data was collected from 254 Chinese design system specialists and practitioners using quantitative methods. Participants' design, technology, and system efficacy perceptions were assessed using a standardized questionnaire. AMOS was used for mediation and moderation analyses to evaluate study hypotheses and examine variable correlations. This study found strong correlations between design elements, technology capabilities, and entity-based design system efficacy. Innovative product design, cognitive ergonomics, and big data-driven interfaces had an impact on system results, both individually and together. Information processing efficiency was a key mediator, while technology infrastructure moderated system efficacy. This study adds to the literature by revealing the complex elements that affect entity-based design systems in computer-related sectors. The study improves our theoretical understanding of design systems by investigating the relationship between design factors, technology capabilities, and system results. It also offers practical advice for organizations looking to improve their design processes and user experiences.

The Metaverse in Green Building Concept Learning, Creative Design Performance, and Learning Engagement

Due to the rapid advancement of technology, environmental sustainability education has gained significant attention. This study aimed to explore the effect of the metaverse on green building concept learning, creative design performance, and learning engagement. This research was conducted with 61 students from a public high school, employing a quasi-experimental design with nonequivalent groups. The experimental teaching theme was green building education, where the experimental group used online metaverse with Minecraft-assisted teaching, while the comparison group used internet images for assistance. Our research results were as follows: 1. The metaverse had a large effect size on the example dimension of concept learning but no significant effect on the linkages, hierarchical structures, or cross-linking terms. 2. The metaverse significantly enhanced creative design performance, including value, usability, novelty, and elaboration. 3. The metaverse had a significant effect on learning engagement, particularly in learning attitudes.

Design Method of Museum Cultural and Creative Products Based on Multi sensory Experience

To explore the design method of museum cultural and creative products based on multi sensory experience, improve product level and user experience, and provide new directions for the development of museum cultural and creative design. The method first introduces the cognitive principles and sensory expression methods of sensory experience, and then focuses on the study of three common multi sensory phenomena: multi sensory integration, synesthesia, and sensory compensation. It analyzes their application in the design of cultural and creative products, summarizes the transformation process of user generated multi sensory experience, and establishes a multi sensory experience cultural and creative product design process based on this. Conclusion: Product design with multi sensory experience can bring users a more comprehensive and profound experience, help promote the inheritance and development of museum culture, and improve the serious problem of homogenization in the cultural and creative industry.

Factors Affecting the Inclusive and Sustainable Development of The Creative Economy in Semarang City

The Covid-19 pandemic has precipitated a shift in business transactions from offline to online, presenting opportunities for growth in Semarang City's creative economy sectors such as Applications and Games, Music, Culinary, Fashion, and Crafts. Despite these opportunities, the development of the creative economy in Semarang City appears fragmented and lacks clear direction, compounded by challenges in accessing comprehensive development data. This study aims to identify the factors influencing the inclusive and sustainable development of Semarang City's creative economy. Utilizing primary data from direct surveys and Focus Group Discussions (FGD), alongside secondary data from Semarang City's regional government and the Central Bureau of Statistics (BPS), this research employs the Partial Least Squares (PLS) Analysis Method to analyze these factors. Findings reveal significant ongoing development across Semarang City's creative industries, with culinary (22.9%), music (20.8%), product design (7.08%), fashion (9.91%), and crafts (9.2%) emerging as key subsectors. The study identifies academician and government support as directly influencing the competitive advantage of Semarang City's creative economy, while private sector, community, and media involvement show indirect effects. The model proposes that a collaborative approach involving academicians, government, private sector, community, and media—a Penta Helix framework—is crucial for fostering further growth and mobilizing Semarang City's creative economy.

Combinediff: a GenAI creative support tool for image combination exploration

Recent advancements in generative AI models showcase significant potential in the creative industry. This study explores the application of state-of-the-art (SOTA) visual foundation models to enhance combinational creativity in product design. ‘CombineDiff,’ a creativity support tool, was developed and evaluated through a mixed-methods study involving 18 participants. The study focused on assessing user interaction with the tool using the Creativity Support Index (CSI) and surprise ratings. The research also examined and suggested parameter settings that enhance creative outcomes. Our findings indicate that combinations yielding unexpected images receive higher surprise ratings, demonstrating the tool’s effectiveness in fostering P-creativity. Additionally, qualitative case studies highlighted the tool’s adaptability across different image types, showcasing its utility in both functional and aesthetic design combinations. This study contributes to the understanding of how visual foundation models can be effectively utilised in creative design processes.