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The purpose of this paper is to draw a parallel between color combinations in coats of arms of the twelfth century and color combinations in current brand logotypes of 400 companies from the Forbes Global 2000 list.

In this work, the frequency of color combinations displayed in medieval coats of arms and in the brand logotypes of the top 400 largest companies in the Forbes list were compared.

One of the main findings of this research is the stability of color usage in two visual identity systems – coats of arms and brand logotypes – although 800 years separate them. In these two identification systems, almost the same colors are preferred or rejected. Yet, even though it is regularly argued that color will submerge the consumption world, this research shows that, in the twenty-first century, visual identities of brands are rather less colorful than medieval coats of arms: nowadays, at a global level, half of the logotypes are formed with white combined with red and/or blue.

By drawing a parallel between two visual identification systems that are coats of arms and logotypes, the results from this study highlight the stability in color usage and color combinations along the centuries. Thus, it seems that modern analysis of color combination practices could greatly benefit from the history and historical evolution of coats of arms. Far from being out of date, the study of coats of arms can provide marketers with interesting insights about the rules and implementation of color combinations when designing logotypes.

The purpose of this paper is to derive the relationship between color schemes and emotion to serve for designers and consumers.

The three attributes of hue, brightness and saturation of the selected sample color are analyzed, and the Semantic Differential (SD) method is used for the emotional evaluation of color schemes, and data obtained from the emotional evaluation of color schemes is analyzed by using Excel software for mean statistics and SPSS software for factor analysis and cluster analysis.

From the results of the factor analysis, three main factors that affect the feeling of the color scheme can be extracted: “personality”, “gender” and “fashion”. Color emotions can be achieved by changing the level of color saturation and brightness, the cold and warmth of the hue and the way of color combination.

Since it takes a long time to fill out the questionnaire, the number of valid questionnaires collected is a little less and the research data is limited. In addition, some problems are not taken into account such as geography and so on, so the results of the statistical analysis are not very precise and further research is needed.

It can provide information of emotional color schemes for designers and consumers, and based on the SD method, an emotional color matching questionnaire is designed and statistical analysis is conducted to establish the relationship between emotion and color schemes.

Based on the fashion color sample and color harmony theory, the color matching rules and color matching schemes are designed independently.

The concept of style is gaining momentum in organizational research. Focussing on its implications for strategy, this paper presents a conceptual and methodological framework to make the notion of style operational and applicable to both research and practice. Style is defined here as a combinatorial, socially situated and semiotic device that can be organized into typologies – recurrent combinations of stylistic dimensions exerting a normative and semiotic function within and across contexts. The empirical analysis, situated in the field of electronic music, considers the music genres and the colour dimension of artists' appearance as components of their style. Results show how coherent style typologies normatively dominate the field and how non-conformist but coherent typologies correspond to superior creative performance. Operating as unifying device, style can transform varied and potentially confounding traits into distinctiveness and shed light on competitive market dynamics that cannot be fully explained via other theoretical constructs.

Successful advertising must attract attention, communicate clearly, and ideally be memorable for optimum impact. The basic processes of encoding and decoding underlie successful communication, but advertisers often neglect to test for accessibility by visually‐disabled persons. The present paper will present a framework for detecting information‐processing problems and illustrate the use of this framework by analyzing the responses of color‐deficient consumers.

This study used the colours of plates as atmospheric stimulus factors in the Mehrabian–Russell model of environmental influence, which served as the study’s basic background theory, to explore how plate colour affects consumer appetite preference and dining emotions in Chinese fine dining restaurants. The paper aims to discuss this issue.

The study used quantitative surveys and employed purposeful sampling and rolling snowball surveys of consumers in Chinese fine dining restaurants in Taipei; 581 effective surveys were collected from the test subjects. The research tools included a plate colour appetite preference scale and a dining emotion scale.

There were significant differences in age and gender in terms of appetite preference and plate colour. The plate colours with the highest appetite preference were gold, white and black. There were significant differences in plate colour appetite preference in terms of dining mood, with white and gold plates eliciting positive dining moods.

Most academic papers have focused on studying plates in Western dining, while very few studies have focused on the colour of Chinese dining plates. The greatest contribution and value of this study is its discovery of the colour combination of dining plates that can elicit appetite preferences and positive dining emotions among diners in Chinese fine dining restaurants. This information can be used to stimulate positive dining emotions among consumers and help restaurateurs improve the level of dining aesthetics.

This paper aims to present a detailed description of Tukuchiy, a framework to dynamically generate adapted user interfaces. Tukuchiy is based on Runa-Kamachiy, a conceptual integration model that combines human–computer interaction (HCI) standards to create user interfaces with user-centered concepts usually addressed by adaptation.

The first step was the definition of three profiles: user, context and interface. These profiles contain information, such as user disabilities, location characteristics (e.g. illumination) and preferences (e.g. interface color or type of system help). The next step is to define the rules that ensure usability for different users. All of this information is used to create the Tukuchiy framework, which generates dynamic user interfaces, based on the specified rules. The last step is the validation through a prototype called Idukay. This prototype uses Tukuchiy to provide e-learning services. The functionality and usability of the system was evaluated by five experts.

To validate the approach, a prototype of Tukuchiy, called Idukay, was created. Idukay was evaluated by experts in education, computing and HCI, who based their evaluation in the system usability scale (SUS), a standard usability test. According to them, the prototype complies with the usability criteria addressed by Tukuchiy.

This work was tested in an academic environment and was validated by different experts. Further tests in a production environment are required to fully validate the approach.

Tukuchiy generates adapted user interfaces based on user and context profiles. Tukuchiy uses HCI standards to ensure usability of interfaces that dynamically change during execution time. The interfaces generated by Tukuchiy adapt to context, functionality, disabilities (e.g. color blindness) and preferences (usage and presentation) of the user. Tukuchiy enforces specific HCI standards for color utilization, button size and grouping, etc., during execution.

The purpose of this paper is to identify the chromatic approaches in dynamic brand identities, describing and analysing new trends, patterns or shared strategies which seem to be taking place and renunciating the consistent use of corporate colours in some brands.

The research consisted of a qualitative visual content analysis, based on the comparison and scrutiny of 50 dynamic visual identities, verifying the changes that their colours would undergo in their numerous forms of representation and the symbolic associations these would carry. This analysis was performed using three different studies.

The results show that colour in dynamic brands does not follow any consistent pattern regarding its application and none of the most common colour harmonies seem to be an obvious strategic preference.

This research provides insights for brand managers to look at how this dynamic positioning can be successfully implemented without affecting recognition whilst establishing or maintaining customer loyalty, and for brand designers and marketers to clarify how brand guidelines will explain the usage of such colourful approaches.

This paper is a contribution to the knowledge of how a traditional visual element such as colour is being combined, deconstructed and reassembled in the context of modern visual identities. Three patterns are identified, and two of them draw attention to the apparent unnecessity of colour consistency and the way this may affect the relevance of colour in transmitting certain meanings.

The purpose of this paper is to propose a color-texture classification approach which uses color sensor information and texture features jointly. High accuracy, low noise sensitivity and low computational complexity are specified aims for this proposed approach.

One of the efficient texture analysis operations is local binary patterns (LBP). The proposed approach includes two steps. First, a noise resistant version of color LBP is proposed to decrease its sensitivity to noise. This step is evaluated based on combination of color sensor information using AND operation. In a second step, a significant points selection algorithm is proposed to select significant LBPs. This phase decreases final computational complexity along with increasing accuracy rate.

The proposed approach is evaluated using Vistex, Outex and KTH-TIPS-2a data sets. This approach has been compared with some state-of-the-art methods. It is experimentally demonstrated that the proposed approach achieves the highest accuracy. In two other experiments, results show low noise sensitivity and low computational complexity of the proposed approach in comparison with previous versions of LBP. Rotation invariant, multi-resolution and general usability are other advantages of our proposed approach.

In the present paper, a new version of LBP is proposed originally, which is called hybrid color local binary patterns (HCLBP). HCLBP can be used in many image processing applications to extract color/texture features jointly. Also, a significant point selection algorithm is proposed for the first time to select key points of images.

The purpose of this paper is to address the key variables that determine the level of control of color in a typical textile supply chain, including lighting variability, color perception, and color measurement.

A fishbone diagram is used to demonstrate the wide range of variables that affect the control and communication of color within the textile supply chain.

It is important to identify the important parameters and variables that influence the control of color within various stages of the textile supply chain. In regard to visual assessment variability, the results obtained in an ongoing study at North Carolina State University based on the psychophysical testing of 50 observers demonstrate a statistical difference for visual judgments of small color differences between naïve and expert observers. Results of a paired t‐test between the second and the third trial conducted by naïve observers indicate that the repetition of the visual observations significantly affects the assessment of small color differences.

Assessment of lighting measurements of several stores in the USA demonstrate variability in lighting, with many stores having at least two different light sources. This variability, in combination with uncontrolled lighting from external windows and entrance/exit areas, can lead to significant variability in the color perception of textile garments displayed in such areas, and may lead to consumer experience being significantly different from that intended by the designer.

The optimization of variables that influence the assessment and communication of color is vital to achieving effective communication between all parties involved. This can significantly reduce costs and lead times resulting in improved competitiveness and cost efficiency associated with increased consumer satisfaction and confidence in the industry.

The repetition of visual observations significantly affects the assessment of small color differences.

Can you become more comfortable with your PC (and thus more productive) by playing with it? Probably—and, in any case, we all need a break now and then. Fun and games for the PC come in all varieties; the most widely reviewed programs require dozens of hours and your full concentration. Those programs aren't the topic of this column. The author writes about momentary pleasures or digital diversions: programs that can be fun on a fifteen‐minute break—although some of them, to be sure, can easily take up full days. If you have a VGA monitor and wonder where all those colors are, you'll find some answers here. If you want to sharpen your skills for a trip to Nevada—that's another kind of play, covered here as well. And if you've ever heard of the Game of Life (not the board game) or cellular automata and wonder what they're all about, read on: the answer is intriguing and can be incredibly time‐wasting. The usual notes from the literature follow, including this year's printer roundup and reviews of a remarkable number of top‐of‐the‐line 80386 computers.