Color Design Research Articles

DESIGN OF APPLICATIONS FOR ACCESS TO DIGITAL ART WORKS IN ONLINE MUSEUMS

The purpose. The research aims to explore the integration of digital art with online exhibitions in museums, focusing on the design of application interfaces and museum exhibitions. Methodology. The study uses a mixed approach that combines theoretical research, analysis of scientific research with analysis of practical examples. Results. It has been found that the use of digital art has a significant impact on museum online exhibitions, contributing to more interactive, immersive, and inclusive visitor access. The integration of ICT into the museum sector, while primarily focused on digitization, virtual tours, and increasing visitor engagement through augmented reality and virtual reality technologies, also encompasses important design aspects such as color, typography, and interface design, which play an important role in the overall design of an online museum. Examples of the Central American Museum of Art, the Dunhuang Online Museum, the Metropolitan Museum of Art, as well as the Bloomberg Connects application are analyzed. The study highlights the importance of narrative design and user-centered approaches in the design of online museums to access digital cultural heritage. The scientific novelty lies in the fact that the design principles of the interface of digital applications for visitors' access to the expositions of online museums were further developed in the work. Practical Significance. The results of the study can be implemented in the modern practice of museum design projects, contributing to innovations in the presentation of cultural heritage artifacts.

Environmental color analysis and facade color design in a street rehabilitation: Adana, Kayalıbağ

AbstractStreets and buildings that become inactive within the historical texture of cities can be restored to the district through rehabilitation projects and color designs, which encourage urbanites to use them more actively. Such spaces are especially important for urban memory, yet they risk losing their integrity over time due to uncontrolled development. Therefore, making them available for urban use is important for socio‐cultural and economic development. This study involves the application, under a rehabilitation project, of a holistic approach to façade color design for buildings located on two streets in the center of Adana, a city in southern Turkey that dates back to the Common Era. The study began with collecting color samples from the area as part of environmental color analyses, after which the colors of the samples were measured. In line with the environmental characteristics that affect color perception, a range of colors with Munsell's equivalent value and hue contrast was considered appropriate for application to the facades of buildings in the Kayalıbağ neighborhood. In the color design, five different hues with high‐value (light) and low chroma were selected to increase the attractiveness of the historically and archeologically highly significant district. The aim of the color design was to increase the livability and attractiveness of the district, while not overshadowing the cultural qualities of the urban environment.

NOx removal capacity and compressive strength of photocatalytic cementitious materials with various color properties

The photocatalytic cementitious materials (PCM) are expected to alleviate air pollution due to the direct utilization of natural solar energy. However, the color properties of cementitious materials have significant effect on the photocatalytic performance of PCM. In the present study, the colorful PCM is prepared using various colorants. The effect of color properties of cementitious materials on the NOx removal capacity of PCM is researched, and the related mechanism is analyzed by optical analysis. Furthermore, the effect of colorants on the compressive strength of PCM is studied. Results showed that the NOx removal capacity of PCM is decreased by the presence of colorants. As the 5% of black, yellow, red, and blue colorants are used, the NOx removal capacity of PCM is reduced by 73%, 48%, 21%, and 19%, respectively. Both the nano-TiO2 and cement in the PCM can absorb UV light. Colorants could enhance the UV light absorption capacity of cement, leading to a decrease in the UV light absorption of nano-TiO2, which is harmful to the generation of electron-hole pairs. Moreover, the Fe-phase in colorants could improve the surface charge separation resistance of nano-TiO2, limiting the efficiently separated electron-hole pairs. Therefore, the photocatalytic performance of PCM is weakened by the presence of colorants. The compressive strength of PCM is decreased by using colorants, but the reduction ratio at 28 d is no more than 10%, with the content of colorants within 5%. This research can guide the color design of PCM in practical applications.

Emotional Landscapes in Urban Design: Analyzing Color Emotional Responses of the Elderly to Community Outdoor Spaces in Yi Jie Qu

Addressing the emotional needs of the elderly in urban space design has increasingly become a vital concern. This study innovatively integrates emotional theories with the design of community outdoor spaces, thereby expanding the research on emotional categorization in urban spaces. At 8 community outdoor space sites in Yi Jie Qu, China, 330 elderly residents were randomly recruited to assess their color emotional responses (CER) to the color landscapes of these spaces. Based on the Affective Circumplex Model and Japanese Color Image Theory, a Color Emotion Circumplex was constructed to visually represent the overall emotional tendencies and significant positive emotions of the elderly. The second innovation of this research lies in exploring the driving factors behind positive emotional responses of the elderly, the primary user group of community outdoor spaces. We analyzed the significant differences in CER between autumn and winter scenes, employing variance analysis, correlation, and regression to investigate the substantial effects of individual factors and color characteristics on positive CER. The study discovered that the elderly exhibit a stronger CER towards clean and healthy emotions. Notably, CER was more pronounced in autumn scenes compared to winter. Furthermore, educational level, visit frequency, and color brightness positively influenced positive CER, whereas walking time from residence and the color area ratios of blue and gray negatively impacted CER. These findings not only provide a theoretical basis for age-friendly color design in community spaces, but also offer new perspectives and practical guidance for the international community planning and design domain. Our research underscores the importance of incorporating the emotional needs of the elderly into urban space design, offering novel theoretical and practical guidance for future urban planning and community design.

The color metaphor of the coronavirus

INTRODUCTION. The perception of the new coronavirus infection COVID-19 through a color or coloristic metaphor by representatives of student youth is of particular linguistic interest. The aim of the study is to identify coronavirus color metaphors in student discourse, which are one of the most productive ways of associative transfer, based on deep, archetypal human relations with the world.MATERIALS AND METHODS. The method of associative experiment is used to determine the color metaphors of the coronavirus. The results of the experiment are interpreted on the basis of a phenomenological approach using the method of questioning and quantitative analysis.RESULT AND DISCUSSION. Metaphorical models with the source sphere “color” are revealed; the psychology of color in individual consciousness and its influence on the psychoemotional state of an individual in the post-pandemic period are comprehended; a classification of metaphors is proposed; the causes of the obtained color associations are analyzed.CONCLUSION. It is revealed that spectral colors cause the most associations with coronavirus, the most popular among which are red, green and black. Most color associations are associated with cold colors that evoke, inspire and express sadness, sadness, despondency, and their various variations. The analysis of creative color names is carried out. The data obtained have theoretical and applied value, as they record attitudes and emotions regarding the general disaster after its expiration, thereby creating new meanings in the color designation and in the characterization of the new coronavirus infection COVID-19, contributing to the creation of a prosperous educational environment.

Clothing image attribute editing based on generative adversarial network, with reference to an upper garment

PurposeNowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.Design/methodology/approachThe proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.FindingsThe experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.Originality/valueThe proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.

An Investigation of Online Consumers' Choices of Textiles and Clothing Color and Design

This study investigated online consumers’ purchase behaviour towards the colour and design of textile clothing. Bestseller products on Amazon's e-shop were collected for four categories in women’s clothing: Coats, jackets, vests, skirts, dresses and tops, tees, and blouses. The best-seller products ranked from the highest to the least at identified retrieval time were analysed for each category. The analysis was based on mixed methodology, combining qualitative and quantitative methods to analyse collected data relevant to colour and pattern design and the frequencies of choosing them. It was found that black was the most desired colour by online shoppers, followed by White. Therefore, black and white shades -not considered colours - are the most purchased online. This result would be due to these shades' independence from visual display qualities. This finding would interpret the challenge of marketing clothing and textile products through e-stores. Multi-colour designed textiles occupied the second position in textile design and colour. These results mean that online consumers preferred black and white shades and a designed clothing textile. Therefore, textile print design products could be more prominent in online markets than plain products of various brightness and saturation levels. These research findings support textile print designers in considering the specifications of online products in terms of design attributes, listing, and competitive advantage.

Terms for the Purple Color in the Bashkir Language

Purpose. The purpose of the article is to study the names for the purple color in the Bashkir language, which function in several versions. The study is relevant due to the lack of research on the names of the color, not only in the Bashkir, but also in the Turkic languages in general. The study is carried out using descriptive, comparative-historical methods, and the method of lexicosemantic analysis. The electronic corpora of the Bashkir language, the dialectological base, and lexicographic works acted as linguistic material on the Bashkir language.Results. It was revealed that four types of names are used to designate purple in the Bashkir language: 1) a borrowing from Persian; 2) analytical names, consisting of a combination of two color designations; 3) a loan translation from the Russian language; 4) a dialect word. It has been established that these names differ from each other in terms of their scope: 1) the name šämäxä, borrowed from the Persian language, is used in the modern literary language; 2) the word körän, which means ‘brown’ in the literary language, is used in dialects; 3) a loan translation from the Russian language – miläwšä töθ (‘violets color’) – is used in publicism; 4) analytical names are presented in the colloquial language: qïðïl kük ‘red blue’, qïðɣïlt kük ‘lit. reddish-blue’, körän kük ‘brown-blue’, zäŋgär kük ‘bluish blue’.

Associative Experiment as an Auxiliary Method to Identify the Features of the Linguocolor Pictures of the Kazakh World

Purpose. General aim of this article is the structuring of the functional-semantic field of color terms in the Kazakh language.Results. The article analyzes the experimental results obtained during the psycholinguistic association experiment (AE) conducted in 2021 with students being native Kazakh speakers. The Almaty Corpus of the Kazakh language was used for determining the frequency of basic adjectives in the Kazakh language. There were assigned 8 lexemes as basic color terms in the Kazakh language: қara ‘black’, ақ ‘white’, kok ‘blue’, kyzyl ‘red’, sary ‘yellow’, қоңыр ‘brown’, zhasyl ‘green’ and sur ‘grey’ ‒ on the basis of their frequency, non-derivation, transparency of lexical meaning, wide compatibility with words of different semantic classes and word-formation productivity. The conducted associative experiment was aimed to identify the standards of basic color designations rooted in the linguistic consciousness, as well as the respondents' original reactions to color.Conclusion. The application of the associative experiment revealed the features of the linguistic picture of the world of the Kazakhs in terms of the color representation of reality. The use of AE made it possible to obtain information about different levels of color awareness, which allows clarifying and verifying one of the possible ways to study color designations. A significant proportion of stable associations lie in the emotional, spiritual and intellectual spheres, whereas objects of the environment acting as standards for color values are represented by a large number of single, individual associations.

The Role of Cyberpsychology in the Context of Digital Marketing

The widespread use of the internet and digital technology is revolutionizing consumer interactions with the business world. This necessitates marketers to grasp how psychological factors influence behavior in the virtual realm, a facet that can be explored through the field of cyberpsychology. Cyberpsychology offers insights into human interactions with the digital world, paving the way for personalized marketing content and a profound understanding of consumer preferences. This study aims to elucidate the role of cyberpsychology in the context of digital marketing, providing additional insights into efforts to optimize business strategies in the digital realm. The research employs a literature review method sourced from online platforms. The results indicate that a deep understanding of the relationship between cyberpsychology and digital marketing has unveiled the complexity of human interactions in the digital sphere, the dynamics of consumer behavior, and the pivotal role of color psychology and design in crafting successful digital marketing campaigns. The implications of these findings can offer valuable guidance for marketers to enhance consumer engagement, comprehend market preferences, and devise more effective marketing strategies amidst the evolving challenges of the digital era.

Enhancing Urban Landscape Design: A GAN-Based Approach for Rapid Color Rendering of Park Sketches

In urban ecological development, the effective planning and design of living spaces are crucial. Traditional color plan rendering methods, mainly using generative adversarial networks (GANs), rely heavily on edge extraction. This often leads to the loss of important details from hand-drawn drafts, significantly affecting the portrayal of the designer’s key concepts. This issue is especially critical in complex park planning. To address this, our study introduces a system based on conditional GANs. This system rapidly converts black-and-white park sketches into comprehensive color designs. We also employ a data augmentation strategy to enhance the quality of the output. The research reveals: (1) Our model efficiently produces designs suitable for industrial applications. (2) The GAN-based data augmentation improves the data volume, leading to enhanced rendering effects. (3) Our unique approach of direct rendering from sketches offers a novel method in urban planning and design. This study aims to enhance the rendering aspect of an intelligent workflow for landscape design. More efficient rendering techniques will reduce the iteration time of early design solutions and promote the iterative speed of designers’ thinking, thus improving the speed and efficiency of the whole design process.

Structural and stylistic features of german phraseological units with a coloronym component

The article presents an analysis of the structural and stylistic features of German phraseological units with a coloronym component and considers the peculiarities of the relations between the components of these constructions. The point of view established in linguistics is that stable phrases with adjectives expressing basic color concepts are phraseological units. The author identifies and structures nominal and verbal groups of phraseological units with a coloronym component, presents an analysis of the relationship between the components of stable phrases containing a color designation. It was found that the functions of classification and amplification stand out as the main functions of coloronym adjectives within a stable phrase. The theoretical and practical significance of the study consists in substantiating the originality of structural and stylistic features of German phraseological units with coloronym adjectives, which is due to the degree of cohesion and the nature of rethinking the components of the structure. The possibility of using an adjective as a semantically pivotal word in a stable phrase is proved.

Universality and Evolution of Coloronyms

This scientific article examines the equivalents of the main names of coloronyms, universality and their evolution. The subject of the study is vocabulary with the meaning of color designation. The comparative method and the method of analysis were mainly used in the work. The article compares the change, semantic enrichment, derivative and phonetic transformation of coloronyms. It has been revealed that coloronyms in different languages have a specific character and therefore it is important to always take into account their lexical and semantic features, especially when translating into other languages. The results of the research can be used in the compilation of dictionaries, as well as in theoretical and practical courses on comparative typology and linguistics.

The Complexity of Colour/Textile Interaction in Digital Printing as an Integral Part of Environmental Design

Textile materials are an essential part of contemporary architecture, the environment, and urban spaces due to their unique appearance and qualities, as it is now possible to achieve both a structural function and an aesthetic quality with textiles. As colour is one of the most important characteristics of textile material, it is also important to understand the relationships between colour and textile material with different surface qualities. In order to explain the complexity of different textile materials and the appearance of colours, which consequently affects the colour properties, this paper analyses this phenomenon. The presented research analyses the dependence of the reproduction quality and colour appearance on fabrics of different construction and structural characteristics, i.e., the texture of the textile material, printed using digital inkjet technology. The aim of this work is to investigate the influence of various structural features of textiles on the colour appearance of digitally printed textile substrates, to monitor the quality of colour reproduction, and to analyse the behaviour of a reactive dye droplet on textile substrates. Printing of a particular shape was performed using a Dimatix Materials Printer DMP-2831 piezoelectric inkjet device (provided by the J. Stefan Institute, Ljubjana, Slovenia; manufactured by Fujifilm Dimatix Inc., 2230 Martin Avenue, Santa Clara, CA, USA). The behaviour of the ink delivered by the needle of the tensiometer DSA20E, Kruess GmbH (provided by the J. Stefan Institute, Ljubjana, Slovenia; manufactured by Kruess Scientific Instruments (Shanghai) Co., Ltd. Futong Dong Dajie 10 Baoneng Center, Tower B, Room 605 Chaoyang District, Beijing 100102, China), on the surface of the fabric was analysed. The samples were digitally printed on a Mimaki digital printer Tx2-1600 (provided by University of Ljubljana Faculty of Natural Science and Engineering, Slovenia EU; manufactured by Mimaki, 2182-3 Shigeno-Otsu, Tomi-city, Nagano, Japan), with reactive dyes, which were first pretreated in a bath with a specific solution. The statistical method of image analysis and microscopic imaging were used to obtain the characteristics of the porosity, texture, and roughness parameters. All results are presented from colouristic analysis based on the objectification of colour and colour differences. The objective values of the parameters of lightness (L*), chroma (C*), and hue (h°) show the significant influence of the structure and properties of the substrate on colour reproduction, and significant changes were obtained, which were confirmed by the evaluation of the colour differences. The results confirm the influence of the substrate structure on colour properties. Furthermore, it is essential to consider this complexity in the context of environmental colour design when utilising (coloured) textile installations/materials in architecture and urban spaces, i.e., in the environment.

Constructing a Mathematical Model of Product Color Design Based on Data Mining: Case Study of a Thermos Cup

In product design, color is the first element that acts on the human visual senses and significantly influences consumer decisions. This study aimed to analyze consumers’ color preferences for products and explore the mathematical patterns of product color design. Firstly, sales data and images of popular thermos cups from Tmall and Jingdong (JD), two prominent e-commerce platforms in China, were obtained through data mining. Subsequently, this research focused on single-color thermos cups with high sales as the research subject, extracting the hue (H), saturation (S), and value (V) for each cup from the product images. Furthermore, a 3D scatter plot of HSV values was generated using Origin Pro, visually representing the consumers’ color preferences. Finally, this study examined the relationships among HSV values of the popular product colors through multiple regression analysis and constructed a mathematical model for HSV. This method enables manufacturers to gain valuable insights into consumer color preferences, facilitating digital color design and enhancing design efficiency and accuracy.

Desirable design: What aesthetics are important to young people when designing a mental health app?

Objectives: Smartphone apps can be highly effective in supporting young people experiencing mood disorders, but an appealing visual design is a key predictor of engagement with such apps. However, there has been little research about the interaction between visual design, mood and wellbeing in young people using a mental health app. This study aimed to explore young people's perspectives on colour and visual design in the development of a music-based app for mood management. Methods: Workshops were conducted with 24 participants (aged 13-25 years) with data analysis following a general inductive approach. Results: Results indicated that colour could impact wellbeing in both positive and negative ways. Participants favoured a subtle use of colour within sophisticated, dark palettes and were influenced by a complex interplay of common semiotic values, experiences with other apps, and mood. Conclusions: These findings highlight the highly contextual nature of the relationship between colour and mood, emphasising the importance of co-design in app development.

What are the impacts of architectural design on occupants’ well-being, and how can architects optimize spaces to enhance productivity?

In the context of rising urbanization and the growing enhancement of green architecture, architectural design is a topic of increasing importance. This study examines the detailed relationship between architectural design and the human experience, emphasizing the significant effects of design decisions on people's well-being. The research delves into the psychological effects of architectural design and explores how architects can optimize spaces to increase occupants' productivity and well-being while taking environmental sustainability and cost-efficiency into account. Numerous studies have demonstrated the critical relationship between indoor environmental conditions and occupant well-being. This study examines the relationships between architecture and the effects that various elements have on inhabitants' moods, behavior, and general well-being, including ventilation, lighting, color, layout, and biophilic design. Further, it discusses possible solutions that could be implemented, such as eco-friendly architectural design, adaptable floor plans, biophilic design principles, and a variety of color and aesthetic decisions to create environments that foster occupant comfort, creativity, and productivity. The study does, however, identify a few limitations including the possible financial effects of incorporating sustainable design elements. Architects can play a critical role in creating environments that improve the quality of life and productivity of their occupants while respecting the environment and budgetary constraints by taking into account the psychological effects of design choices and advocating for innovative, sustainable, and occupant-centric design approaches.

Deep learning model for dynamic color design of all-dielectric metasurfaces.

Silicon nanostructure colors have rapidly developed in recent years, offering high resolution and a broad color gamut that traditional pigments cannot achieve. The reflected colors of metasurfaces are determined by the geometric structure of the unit cell and the refractive index matching layer parameters. It is evident that the design of specific colors involves numerous parameters, making it challenging to achieve through conventional calculations. Therefore, the tandem network instead of conventional electromagnetic simulation is natural. The forward part of the network incorporates feature cross terms to improve accuracy, enabling high-precision predictions of structural colors based on structural parameters. The average color difference between the predicted and actual color values in the L,a,b color space is 1.38. The network has been proven to accurately predict the refractive index and height of the refractive index matching layer during the dynamic tuning process. Additionally, the issue of the inverse network converging to incorrect solutions was addressed by leveraging the characteristics of the activation function. The results show that the color difference between the colors designed by the inverse network compared to the actual colors in the L,a,b color spaces is only 2.22, which meets the requirements for commercial applications.

Dynamic Color Design Model Construction Considering Ambient Light Changes

Abstract The study takes dynamic color design as the main research object, firstly, based on the atmospheric scattering model and the improved dark primary color a priori algorithm, designing the image defogging algorithm based on the ambient light variation, which is used to carry out the optimization processing of images. Aiming at the lack of the user’s visual cognitive semantics of color matching in the process of color design, it is proposed to construct a dynamic color design model based on the theoretical foundation of the image translation model, combined with the visual aesthetics data flow. The model obtains the user’s visual aesthetic cognition of the optimized image samples through eye tracking technology and, at the same time, applies the image translation model to the color design process to generate a color design scheme that is more in line with the human visual characteristics by learning the color matching law of the samples and their visual cognitive semantics. The experimental analysis shows that the image-defogging algorithm based on ambient light variation has a better image-processing effect and operation efficiency, exhibiting a higher average gradient (11.83), information entropy (7.86) and visual fidelity (2.99). Meanwhile, the color design scheme generated by the method of this paper is highly recognized by the subjects, with evaluation scores of more than 4 points in each dimension. The dynamic color design model constructed in this paper, by considering ambient light changes, can generate color schemes that are both rational and comfortable.

Paper] Invisible Information using Antimony Doped Tin Oxide Ink: Synthesis of Antimony Doped Tin Oxide Ink and Addition of Invisible Information in Color Design

Paper] Invisible Information using Antimony Doped Tin Oxide Ink: Synthesis of Antimony Doped Tin Oxide Ink and Addition of Invisible Information in Color Design