Creative Design Research Articles

Exploration of Human-Machine Collaboration Mode in Brand Pattern Creative Design

Exploration of Human-Machine Collaboration Mode in Brand Pattern Creative Design

AERODYNAMIC HIGH-RISE BUILDING IN STRUCTURAL REVIEW AND DESIGN INTEGRATION

Tall buildings that have aerodynamic characteristics are tall buildings that can respond to wind flow and lateral loads that occur on the upper structure of the building. Obstacles in understanding the structural systems in tall buildings often become obstacles for architecture students so design integration cannot be achieved, especially in tall buildings with aerodynamic shapes. Therefore, it is necessary to analyze how the structural patterns that form aerodynamic buildings can be realized using case studies in Indonesia and abroad. The method used in this research is a literature review and analysis with a review of aerodynamic building designs and structures in three building case studies in Indonesia and abroad. It is hoped that by understanding aerodynamic building structural systems, students will be able to combine creativity with their structural systems. Conversely, understanding the structural system can produce design creativity to create an integration of the design and structural system. From the literature review and analysis, it is found that aerodynamic tall buildings have a structural system obtained from twister-shape processing with a composite structural system and a core system. As well as the diagrid system which usually uses a steel diagrid structure system and a core structure system. The core system is still the main reference because its use is more efficient in terms of costs and work methods.

An artificial intelligence approach for interpreting creative combinational designs

Combinational creativity, a form of creativity involving the blending of familiar ideas, is pivotal in design innovation. While most research focuses on how combinational creativity in design is achieved through blending elements, this study focuses on the computational interpretation, specifically identifying the ‘base’ and ‘additive’ components that constitute a creative design. To achieve this goal, the authors propose a heuristic algorithm integrating computer vision and natural language processing technologies, and implement multiple approaches based on both discriminative and generative artificial intelligence architectures. A comprehensive evaluation was conducted on a dataset created for studying combinational creativity. Among the implementations of the proposed algorithm, the most effective approach demonstrated a high accuracy in interpretation, achieving 87.5% for identifying ‘base’ and 80% for ‘additive’. We conduct a modular analysis and an ablation experiment to assess the performance of each part in our implementations. Additionally, the study includes an analysis of error cases and bottleneck issues, providing critical insights into the limitations and challenges inherent in the computational interpretation of creative designs.

Examining the Application of Neural Networks in Predicting Temperature and Solar Cell Power

Cost-effective and efficient engineering of solar cells, in addition to creative design, necessitates a detailed examination of the physics involved in solar energy absorption. Solar energy does not operate at night without storage means such as batteries, and cloudy weather can render this technology unreliable during the day. Since solar cells are used to convert light into electricity, they must be composed of materials efficient in light absorption. Like any other power generation source, solar cells face challenges, including reduced output power with increasing cell surface temperature. With each degree rise in temperature, efficiency can decrease by up to 54.0%, highlighting the importance of addressing and implementing solutions to this issue. This study explores different specifications of solar cells after a general overview and modeling. It investigates methods for estimating solar cell temperature using ambient temperature and solar radiation, comparing them with a proposed neural network approach. If the neural network can achieve lower error rates than the desired thresholds, it would offer advantages over mathematical estimators mentioned in the literature. Additionally, this neural network demonstrates the capability to predict future solar cell temperatures, unlike instantaneous mathematical estimators for temperature and radiation. DOI: https://doi.org/10.52783/pst.558

Applying reinforcement learning to learn best net to rip and re-route in global routing

Physical designers typically employ heuristics to solve challenging problems in global routing. However, these heuristic solutions are not adaptable to the ever-changing fabrication demands, and the experience and creativity of designers can limit their effectiveness. Reinforcement learning (RL) is an effective method to tackle sequential optimization problems due to its ability to adapt and learn through trial and error. Hence, RL can create policies that can handle complex tasks. This work presents an RL framework for global routing that incorporates a self-learning model called RL-Ripper. The primary function of RL-Ripper is to identify the best nets that need to be ripped and rerouted in order to decrease the number of total short violations. In this work, we show that the proposed RL-Ripper framework’s approach can reduce the number of short violations for ISPD 2018 benchmarks when compared to the state-of-the-art global router CUGR. Moreover, RL-Ripper reduced the total number of short violations after the first iteration of detailed routing over the baseline while being on par with the wirelength, VIA, and runtime. The proposed framework’s major impact is providing a novel learning-based approach to global routing that can be replicated for newer technologies.

The Role of Innovation and Creativity in Business Management to Enhance SME Economy in the Creative Industry

SMEs are the backbone of Indonesia's economy, contributing significantly to employment and the Gross Domestic Product. The creative industry holds immense potential in driving economic growth, especially in the digital era. This research aims to analyze the role of innovation and creativity in business management to enhance SME economy in the creative industry. The research method employed is a literature review using a qualitative approach. Data were gathered from articles published on Google Scholar between 2013 and 2024. The study findings indicate that the creative industry has become one of Indonesia's most dynamic and rapidly growing economic sectors, with Micro, Small, and Medium Enterprises (MSMEs) playing a vital role as engines of local economic growth, innovation sources, and creativity. Innovation and creativity are key to maintaining competitiveness, developing new products and services, and reaching broader markets. Through innovation, SMEs can develop unique and compelling products, enhance operational efficiency through technology adoption, and optimize marketing strategies and branding. Creativity in product design and customer experience is crucial for attracting consumer interest and distinguishing oneself from competitors

Can you be unique by wearing fast fashion? Exploring South African contemporary female consumers’ creative behaviour towards fast fashion uniqueness

Contemporary female consumers manage their appearance through current fashion trends and styles. The desire to be unique drives consumers to develop appearances that are perceived to differentiate them from others. In a world where fast fashion delivers multiple copies of one fashion item, it is difficult to imagine if fast fashion could deliver a unique appearance. Little research has considered the possibility of achieving fast fashion uniqueness. The behaviour of South African female consumers and their desire for fast fashion uniqueness as proposed in the theory of the need for uniqueness has also not been researched. The purpose of this study was to determine the meaning of fast fashion uniqueness and the behaviour related to the dimensions of uniqueness. An exploratory descriptive qualitative study was used to determine the fast fashion unique experiences of female fashion shoppers in South Africa. Thematic analysis of electronic individual interviews revealed the meaning of uniqueness manifested through mechanisms of self-expression and design creativity. Contribution to uniqueness theory is expressed through a socially acceptable appearance typified by creative choice counter-conformity behaviour. Unpopular choice counter-conformity behaviour was expressed through precautionary and guarding behaviour. Avoidance of similarity behaviour resulted in similarity acceptance behaviour characterized by helplessness and acceptance of fast fashion duplication, due to the inability to avoid similarity experienced during fast-fashion retail purchases. Coping strategies and avoidance behaviour tactics were applied to avoid fashion similarities. Fashion creativity serves as the mechanism through which contemporary fast fashion consumers achieve fast fashion appearance uniqueness. Fast fashion retailers in South Africa may need to improvise fashion offerings and give consumers alternative appearances to accommodate the creative uniqueness that female consumers are compelled to apply to achieve fast fashion uniqueness.

The impact of structural analysis of works of fine art on enhancing the creativity of artists and interior designers

This article explores the impact of structural analysis of a work of art on enhancing the creativity of designers and artists. The results of the study showed that consistent adherence to all stages of the artistic and compositional aspect of the analysis of an art object can have a significant impact on increasing creative capabilities in the development of creative thinking, as well as obtaining the necessary instrumental skills for creating various types of internal spaces using objects of fine art. As part of this study, recommendations were also drawn up for the practical use of associative components to create the desired emotional atmosphere in various types of interiors. The results of the study allowed us to propose a methodological approach based on a sequential process, which includes art tasks for students and recommendations for integrating the creative process from the field of art into art education. The proposed approach can also be applied to improve creative skills through analysis in other types of fine arts and will provide an opportunity to replenish and expand the knowledge base in this area.

Diaphanous Bodies: A Hauntology of the Mediating Image

AbstractThe contemporary world is so dependent on the virtual, with its constantly morphing and invisibly magical potentialities, that it is somewhat paradoxical that the speculative, explorative aspect of architectural drawing is so undervalued in this context. The profession's computerised quick‐fix, feed‐me, satisfy‐me normative mentality has limited truck with the intangible. Peter J Baldwin writes an ode to the phantasmagorical and the ephemeral, citing it as a useful tool to enhance and liberate the creative design mind. Allied with tactics of re‐reading and post‐rationalisation, he constructs a spectral ‘machine’ for making work.

Self-discharge suppression by composite regenerated cellulose ion-selective separator for high-energy aqueous supercapacitors

Aqueous supercapacitors exhibit the advantage of high cycling stability, inherent safety and appealing energy density, and thus have long been considered an exceptional technology for efficient energy storage. However, in the absence of an electric field, the spontaneous transmembrane diffusion of ions leads to self-discharge or energy decay of supercapacitors. Herein, we propose a phase transformation strategy to design a porous regenerated cellulose and polyvinylidene difluoride composite separator with ion selectivity by utilizing cellulose dissolution regeneration with PVDF enhancement. Specifically, the anion selective property of PVDF screens the transmembrane diffusion of electrolyte ions, thereby suppressing the self-discharge of supercapacitors. The in-depth characterization indicated that the RC@PVDF separator applied to aqueous supercapacitors demonstrated high performance by maintaining a capacitance of 173 F g−1 after 20,000 cycles. After 24 h of self-discharge, the supercapacitor retained 59 % of its energy. In addition, the cross-linked network of regenerated cellulose provides critical properties for the ion-selective separator, including strong mechanical stability, excellent thermal stability (220 °C) and uniform pore structure (31 nm). This work is anticipated to provide considerable insight into the creative design of self-discharge suppression separators for long-term energy storage supercapacitors.

Creating a Reflective Framework for Exploring Divergent Thinking Potential to Enhance Unconventional Ideas

This paper aims to investigate the implications of divergent thinking (DT) on the 'Habit-Bound Thinking' of undergraduate design students. The goal of this research is to find a way to develop creative designs that accurately mimic 2D frequent shapes. The results of this semi-experimental study gathered and analyzed observational data to evaluate the participants' divergent thinking abilities to generate a wide range of ideas or solutions to a given situation. Two colleges' worth of 120 students were split evenly between the control and experimental groups. This data set addressed the study's primary research question and produced substantial changes in the outcomes. Students in the control group improved significantly on tests measuring component knowledge and creative ability after receiving training and creating the graphical models. These results back up the theory that student creativity is fostered via project-based learning. The establishment of workshops led to a rise in originality

디자이너와 생성형 인공지능의 협업을 통한 디자인 이미지 생성에 관한 연구

This study focuses on the collaborative design between designers and generative artificial intelligence, aiming to create images that align with design intentions. In the theoretical background section, the theoretical foundations of the Fourth Industrial Revolution and the development of artificial intelligence are explored. The working principles and functional characteristics of ChatGPT and Midjourney are analyzed in detail, revealing that the reasonable combination of these two tools can significantly enhance the alignment and creativity of image design. From a cognitive perspective, the design thinking process of designers is analyzed, and the design thinking process of this study is summarized, providing experimental guidance for this research. Experimental results indicate that under the guidance of clear design intention prompts, the images generated by ChatGPT and Midjourney align with the designers' expectations. This reveals the advantages and limitations of generative artificial intelligence in image generation, offering references for future optimization. This study suggests that designers should maintain a leading role in the design process, using artificial intelligence as an auxiliary tool to expand creativity rather than replace human creativity. Human-machine collaborative design is feasible and effective, and this study also provides specific recommendations for designers to better utilize generative artificial intelligence.

KESAN PENDEKATAN ISU SOSIOSAINTIFIK DAN PEMIKIRAN REKA BENTUK DALAM STEM TERHADAP PEMIKIRAN KREATIF KEUSAHAWANAN MURID SEKOLAH MENENGAH

The Socioscientific Issues Approach (SIA) engages students to study and connect science, daily life and society in the community. While Design Thinking (DT) encourages students to understand the needs of the local community regarding real-life problems, and then apply the knowledge to generate ideas for solutions. The integration of PIS and PRB in STEM teaching and learning is rarely documented in the literature. Thus, this research aimed to examine the effects of integrating SIA an DT approaches in STEM education on entrepreneurial creative thinking among rural secondary school students. A comprehensive instructional module was meticulously designed to facilitate teachers in implementing the SIA-DT framework, aimed at augmenting entrepreneurial creative thinking skills among Form Four students. A quasi-experimental quantitative study was conducted on 267 Form Four students enrolled in rural secondary schools in Tawau, Sabah. These students were randomly assigned to three groups: i) Socioscientific Issue and Design Thinking Integration (SSA-DT, n=89), ii) Design Thinking Approach (DT, n=90), and iii) Traditional Approach (TRD, n=88). The Entrepreneurial Creative Thinking Test (ECTT) instrument was developed and applied to measure pre- and post-intervention levels of entrepreneurial creative thinking. Rigorous statistical analyses employing MANCOVA, ANCOVA, and Effect Size techniques were conducted. MANCOVA results revealed statistically significant effects across all instructional groups, indicating the effects of the interventions in fostering entrepreneurial creative thinking. Furthermore, ANCOVA analysis results indicated that the SSA-DT method significantly fosters entrepreneurial creative thinking, investigation constructs, new ideas, design, creation, and commercialization compared to the DT and TRD methods. These findings support the view that the SSA-DT module has a positive impact on cultivating entrepreneurial creative thinking among students.

Based on the Design of Regional Cultural Symbols under the Rural Revitalization Policy

The study of design translation of regional cultural symbols based on rural revitalization policy aims to explore how regional cultural symbols can be effectively translated and applied to rural revitalization practice through design means. The study analyzes and excavates local cultural resources and uses modern design concepts and technologies to transform traditional cultural symbols into design works with contemporary value and significance. In this way, it not only enhances rural cultural confidence and promotes cultural inheritance and innovation but also enhances the development of rural tourism and cultural industries, ultimately achieving sustainable revitalization and economic growth in the countryside. China has rich resources of "local specialties," which have cultural and historical value and great market potential. In the background of rural revitalization strategy, this paper analyzes the design ideas of Malu grapes, a local specialty of Shanghai, and explores how to design cultural and creative products combining unique regional culture and local specialties. Tapping and developing these local specialties can effectively promote regional economic development and rural industrial revitalization. Through the creative design around the local specialties, it increases the added value of the products, inherits and carries forward the local culture, creates brand influence, enhances product recognition, strengthens the competitiveness of the products, enriches the consumption experience, and promotes the image and quality of the local specialties.

Integration of Narrative Strategies in Poster Design Education for Southeast Asian Students

Owing to the proactive implementation of the New Southbound Policy, the proportion of Southeast Asian students studying in Taiwan is steadily increasing. They exhibit variations in perceptions, communication, and cultural backgrounds in learning. These differences often lead to confusion and challenges during the coursework. In this study, we integrate narrative strategies into poster design education, where professors teach students textual contexts to identify and solve problems, and ultimately integrate design knowledge and skills. We investigated the differences in the student’s performance in poster design after the integration of narrative strategies and their reactions. Using a pre-experimental one-group pretest-posttest design with 40 Southeast Asian students, the 12-week experimental teaching was offered. Significant improvements in creativity, text composition, illustrations, layout, and color in poster design were observed after the period. The students could utilize transformation and metaphor as design techniques, demonstrating that integrating narrative strategies stimulated students’ imaginative capacities. Such a result indicates significant efficacy in enhancing the learning experiences of Southeast Asian students.

Design of geometric flower pattern for clothing based on deep learning and interactive genetic algorithm

Abstract Geometric and floral models are an important part of clothing and have been used for thousands of years. Although the styles of geometric models and flower models have undergone changes over the centuries, they are still one of the important factors of clothing patterns, the important carrier of aesthetics, and the manifestation of people’s spiritual views and cultural needs. The development and application of digital printing technology have freed people from excessive dependence on sewing and embroidery processes. Therefore, while deeply studying the design of clothing patterns, this work sorted and analyzed the geometric flower models of clothing through interactive genetic algorithms, and optimized programming to enrich the models of clothing with geometric textures. The results showed that the deviation value of geometric flower pattern design was constantly decreasing, while the optimal strategy value was constantly increasing. The mean deviation value was 0.82, which was a decrease of 0.21 on the seventh day compared with the first day; the mean value of the optimal strategy value was 0.84, which was an increase of 0.19 on the seventh day compared with the first day. The visual effect and creativity of the clothing flower pattern design under the interactive genetic algorithm are better than the traditional flower pattern design, and the visual effect and creativity under the interactive genetic algorithm are 9% higher than the traditional one.

Collaborative digital game design and play to facilitate college students’ creativity development

ABSTRACT This study aimed to investigate how digital games affected college students’ creativity development. A sample of 60 college students participated in the digital game design and play instruction, grounded in the playful constructivism theory. The data incorporated the students’ pre- and post-creativity scores in game design, the first and final versions of game design, and the students’ responses to the open-ended questionnaire. The findings revealed that the students’ creativity was developed after digital game design and play instruction, facilitated by three key creative learning processes, including collaborative digital game design, digital game-playing for providing peer feedback, and redesign of the games after receiving peer feedback. These collaborative processes encouraged the students’ role-reversal between designers and players, enabling the students to provide and receive peer feedback for the exchange of creative ideas. Through reflecting on received peer feedback, the students refined their initial ideas and tailored their reflections to redesign the games for the target learners, thereby cultivating their creativity in educational digital game design. This study suggests collaborative digital game design and play instruction is an effective strategy to facilitate college students’ creativity development.

자연 이미지를 활용한 헤어디자인 제안 연구

In October 2022, the National Human Rights Commission of Korea confirmed that school regulations regarding hair length infringe upon students’ rights. Back in 1982, the Ministry of Education introduced ‘Hairdo Freedom’. Since then, the regulations have been adjusted in response to social changes. Nonetheless, witnessing such regulations being lifted remains exceptional. In fact, there have been various discussions regarding regulations for employees as well as students. These changes indicate that our society has transitioned from an era of ‘respect for human rights’ to an era of ‘respect for individuality’. The respect for individuality forms the foundation for the ground for the growth of beauty industry. This necessitates a high level of professionalism in each field because consumers seek out experts who can distinguish themselves with unique styling skills and expertise. Consequently, beauty corporations have strived to introduce new styles on a quarterly or annual basis, while small businesses have also been releasing their own styles. In this new era of information and communications technology (ICT), consumers access information about these experts through their mobile devices. Therefore, it is the right time to develop new and creative ideas to effectively respond to such changes. Throughout the extensive history of art, nature has served as a focal point for aesthetic inspiration. In fact, it holds great symbolic significance as an art motif in design because it offers a wealth of unique images that can inspire people to create imaginative artworks. These days, the trend-sensitive beauty industry has experienced an increase in demand for distinctive and creative designs. Given these circumstances, it seems that nature could serve as a creative and distinctive source of inspiration. Therefore, this study proposes practical hairstyles inspired by such natural images.

Sustainable and eco-friendly 3D printing filament fabricated from different recycled solid wastes and evaluate its impact on interior and furniture design

A designer's work is based on creativity, innovation, and fresh ideas therefore, they are constantly searching for creative designs, especially when it comes to furniture and internal design. Meanwhile, innovative materials and ideas are actively sought after by designers for usage in furniture and interior design. In this scope, our study explores the practical implications of using date palm fronds and plastic waste from drinking water bottle to create a composite with varying loadings of date palm frond nanoparticles (DPFNP) at 10, 20, and 30 wt % and its applications on furniture design. A desktop extruder was used to form the composites into filaments, which were subsequently used to create 3D-printed specimens. The impact of adding (DPFNP) on the composite's mechanical, thermal, and chemical properties was assessed. Polyethylene terephthalate (PET) drinking water bottle waste, and filament composites presented similar FTIR spectra; however, filament composites presented increased thermal stability and mechanical strength. The filament with 10 wt% DPFNP has been effectively printed with a 3D printer, demonstrating the practicality of employing the developed filaments and perhaps encouraging new uses in furniture and interior design. As a result, employing DPFNP in the recycled PET (RPET) matrix offers a cheap substitute for making filaments. It could increase the use of 3D printing in furniture and interior design by using more environmentally friendly materials. This result will be considered the first phase of future research investigation on a full-scale furniture prototype, examining its physical, thermal, and mechanical properties.

Recent Advances in Fluorescent Biosensor: A Comprehensive Review

Herein, short review paper investigated the rapidly progress in fluorescent biosensors field and their significant influences on analytical chemistry applications. An electrical signal can be produced from a biological reaction using an integrated receptor-transducer device called a biosensor. Because there are so many uses for biosensors in the medical field, including medication delivery, environmental monitoring, water and food quality monitoring, and illness detection, biosensor design and development have become a top priority for scientists and researchers in the last ten years. In the beginning, we started to explain the basic principles of fluorescence. Then, we moved to discuss about the current advancements, creative sensor designs, and the fusion of materials science and nanotechnology. The paper highlighted the sensitivity of fluorescent biosensors by addressing a wide range of applications, including biological research, environmental monitoring, and medical diagnostics. This review paper censoriously assessed the present difficulties, such as interference and constrained dynamic range, and provided explanations into ongoing research. Advanced material and nanotechnology integration is emerging as a force that improves biosensor performance and broadens their uses. This study also discussed the future possible breakthroughs in biosensor technology and its broad use in a variety of scientific and societal fields.