ABSTRACT
Introduction. There is an accumulating evidence of various ophthalmological symptoms, accompanied by visual impairment, post-COVID-19. We hypothesized that color vision may have been affected post-COVID-19 too manifesting as changes in color-naming patterns. To test this hypothesis, we compared color naming in individuals who have recovered from COVID-19 (N = 201, 54 men and 147 women, aged 19–65 years, M = 33.4, SD = 13.2) and those participants whose responses were obtained before the pandemic (hereafter, non-COVID-19 controls) (N = 2,457, 1,052 men and 1,402 women, aged 16–98 years, M = 41.36, SD = 17.7). Methods. We collected data in an online experiment (http://colournaming.com) with Russian respondents in their native language. Participants were presented, with virtual color cards selected from 606 stimuli randomly by a computer program. We asked respondents to name each color using the most appropriate color descriptor (an unconstrained color-naming method). Results. The study showed that, compared to non-COVID-19 controls, post-COVID-19 respondents revealed an altered pattern of color naming. In particular, we found a significant increase in ‘brown', ‘green', and ‘gray' names, along with an increased use frequency of achromatic modifiers "dirty”, "pale”, "dull”, and "pastel”. Discussion. These differences suggest general "darkening” and decreased saturation of perceived colors. The change in the color-naming pattern provides an indirect evidence of the impact of coronavirus on color vision. We speculate that a relatively high frequency of use of color terms koričnevyj ‘brown' and seryj ‘gray' may reflect an accelerated aging of the crystalline lens, while general "darkening” and desaturation of perceived colors may point to an affected processing of luminance contrast. These assumptions are currently being tested (by the authors) in COVID-19 survivors by using a color vision diagnostic test. © 2022, Russian Psychological Society. All rights reserved.
ABSTRACT
Introduction. There is an accumulating evidence of various ophthalmological symptoms, accompanied by visual impairment, post-COVID-19. We hypothesized that color vision may have been affected post-COVID-19 too manifesting as changes in color-naming patterns. To test this hypothesis, we compared color naming in individuals who have recovered from COVID-19 (N = 201, 54 men and 147 women, aged 19–65 years, M = 33.4, SD = 13.2) and those participants whose responses were obtained before the pandemic (hereafter, non-COVID-19 controls) (N = 2,457, 1,052 men and 1,402 women, aged 16–98 years, M = 41.36, SD = 17.7). Methods. We collected data in an online experiment (http://colournaming.com) with Russian respondents in their native language. Participants were presented, with virtual color cards selected from 606 stimuli randomly by a computer program. We asked respondents to name each color using the most appropriate color descriptor (an unconstrained color-naming method). Results. The study showed that, compared to non-COVID-19 controls, post-COVID-19 respondents revealed an altered pattern of color naming. In particular, we found a significant increase in ‘brown', ‘green', and ‘gray' names, along with an increased use frequency of achromatic modifiers "dirty”, "pale”, "dull”, and "pastel”. Discussion. These differences suggest general "darkening” and decreased saturation of perceived colors. The change in the color-naming pattern provides an indirect evidence of the impact of coronavirus on color vision. We speculate that a relatively high frequency of use of color terms koričnevyj ‘brown' and seryj ‘gray' may reflect an accelerated aging of the crystalline lens, while general "darkening” and desaturation of perceived colors may point to an affected processing of luminance contrast. These assumptions are currently being tested (by the authors) in COVID-19 survivors by using a color vision diagnostic test. © 2022, Russian Psychological Society. All rights reserved.
ABSTRACT
Consumer purchasing patterns has been affected by COVID-19 health Crisis. Thus, companies must adapt to this change by focusing on understanding the different variables affecting the post pandemic purchase intentions of consumers. Therefore, the basic objective of this study is the development of an integrated framework to investigate the impact of the colors used for products on online advertisement and the consumer personality on the purchase intention of customers in the context of post pandemic. This study will also focus on highlighting the moderating role of age and gender on the relationship between the three constructs. Data were collected from customers of 53 Moroccan textile companies operating in the E-commerce industry. The data was analyzed, and the theoretical model was validated using Partial least square (PLS) and structural equation model (SEM). The findings show that: the color of the product displayed in the advertisement has a high impact on the purchase intention of consumers;the personality of the consumer impact positively the purchase intention of the consumer, and finally, color of the product displayed on the advertisement has a bigger impact on the purchase intention of young people than old people while age doesn't have any significant impact on the relationship between personality and purchase intention. The contribution of this study is to emphasize the roles of understanding the use of colors in advertising and the personality of the consumer, during the post pandemic, on consumer purchasing intention, for companies to innovate and differentiate their offered advertisements to meet the needs and survive the crisis. © 2022 International Consortium for Electronic Business. All rights reserved.
ABSTRACT
With the rise in high quality displays and cameras following the mainstream adoption of smartphones, image quality has become an essential aspect of engaging and attracting consumers. In the case of smartphones, the bar raises with release of every new generation. There are many factors affecting image quality such as sharpness, image noise or non-uniformity, and geometric distortion, but it is fair to say that color plays a vital role in the perceived quality of an image. Colors not only spark emotions and engage a user but also decide the likability of a certain image. Over the past few years computational photography techniques have become a major differentiating factor between camera manufacturers. These techniques are used to enhance certain features of an image such that it is more pleasing to the viewer. It is important to understand better the perceived and preferred image quality for pictures and to develop a procedure for evaluating them as a part of the camera/display development and design process.This dissertation focuses on exploring such preferred color image renderings using different methodologies of perceptual assessments. We focus on common scenes that contains memory objects such as grass, sky, skin tone, beach sand and food items. In particular, we also focus on white balance preference of an image which controls the appearance of the object in the scene under different illumination. The ultimate goal of this dissertation is to address how we perceive color quality and to develop procedures for its evaluation, and to assess preferred color image rendering. These results can be used to help design better cameras and displays by improving color image quality.In order to achieve the goal of the dissertation, we focus on investigating the preferred rendering of common scenes that contains memory objects, scenes captured under different illumination - controlled and uncontrolled light settings. First we address how we perceive memory colors, with and without pictorial scene content. Then we study the impact of different texture types on these memory colors, along with understanding the relationship between memory color and color quality preference. This dissertation also addresses the color quality of video conference calls using virtual backgrounds, which has been a common means of communication since COVID19 pandemic. In particular, it focuses on the preferred color balance for images with a foreground model against a virtual background. To further investigate the white balance preference settings, we assessed images where the foreground, containing a person, is illuminated by a different correlated color temperature (CCT) than the background, which includes several targets. Models having different skin tones were used. (PsycInfo Database Record (c) 2022 APA, all rights reserved)