Affective psychology and color display of interactive website design

Kuo, Lung‐Wen; Chang, Tsuiyueh; Chen, Lai

doi:10.1016/j.displa.2021.102134

Cited by 15 publications

(16 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Lopes et al, 2019;Parasuraman et al, 2005;Collier and Bienstock, 2006). Kuo et al (2022), Loiacono et al (2002) and Wolfinbarger and Gilly (2003) considered website design, and Kalia and Paul (2021) considered content as their scale dimensions. Subsequently, our study expands the literature by identifying three new aspects (i.e.…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

Developing a scale for gamified e-service quality in the e-retailing industry

Tabaeeian

Shafiee²,

Ansari³

2023

IJRDM

View full text Add to dashboard Cite

PurposeThis paper aims to develop a validated scale that can help in measuring the gamified e-service quality (GE-SQ) in the e-retailing industry.Design/methodology/approachThe paper uses a mixed-method approach to develop and validate a scale for GE-SQ. First, reviewing the literature and interviewing with 14 experts were conducted to explore the initial items and themes. A sample of 215 participants was collected from online customers in Iran. Explanatory factor analysis (EFA) was conducted to this sample to validate the categorized themes. Next, confirmatory factor analysis (CFA) was used to confirm the validity of the established dimensions by a sample of 549 online customers.FindingsThe results extracted 26 items and categorized them to 6 dimensions. “Ease of use”, “reliability”, “emotional appeal”, “interactivity”, “security” and “visual appeal” have been identified as the dimensions of the GE-SQ scale in the e-retailing industry. The validity of the developed scale containing 6 dimensions and 26 items was confirmed.Originality/valueThis research identified GE-SQ as a valid and reliable scale with six dimensions for measuring e-service quality in e-retailing. This finding has made significant academic contributions to the service quality and the retailing literature.

show abstract

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

Developing a scale for gamified e-service quality in the e-retailing industry

Tabaeeian

Shafiee²,

Ansari³

2023

IJRDM

View full text Add to dashboard Cite

show abstract

“…According to Fulcher and Hayes ( 2018 ), Yeung and Wong ( 2018 ), the color range of pink and purple was a preference for females, while blue and green for males. Kodžoman et al ( 2022 ), Kuo et al ( 2022 ) also presented color ranges of pink and blue as colors with preference highest levels among women and men, respectively. Based on these classic scales and color ranges, the male scale taken as a basis was proposed by Silver and Ferrante ( 1995 ), presenting color preferences for masculine colors in shades of green and blue.…”

Section: Methodsmentioning

confidence: 98%

“…On the other hand, to observe stereotype effects on users’ interactions would require data user logs in every single system, as well as users to follow a standardized data collection (Nguyen et al, 2022 ), which would exponentially increase the task’s complexity. However, using colors and their biases, we can focus on just a few aspects of the design of educational technologies (Albuquerque et al, 2017 ; Kuo et al, 2022 ). Therefore, the data collection and analysis complexity can be reduced by applying the tools to collect color data.…”

Section: Introductionmentioning

confidence: 99%

Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias

Santos

Bittencourt

Reis

et al. 2022

Humanit Soc Sci Commun

View full text Add to dashboard Cite

According to the literature, educational technologies present several learning benefits to promote online education. However, there are several associated challenges, and some studies illustrate the limitations in elaborating educational technologies, called Design limitations. This aspect is responsible for unleashing various issues in the learning process, such as gender inequality, creating adverse effects on cognitive, motivational, and behavioral mediators, which opposes the fifth UN’s Sustainable Development Goal. Therefore, many studies notice the harmful effects of stereotypes in educational technologies. These effects can be included in the design, like colors or other stereotyped elements, or how the activity is conducted. Based on this, the present study aimed to verify the predominance of color bias in educational technologies available on the WEB. This study developed a computational solution to calculate male and female color bias in the available educational technology web pages. The results suggest the prevalence of the development of educational technologies with a male color bias, with an imbalance among genders, without adequate customization for age groups. Furthermore, some environments, such as Computer Science, present a higher color bias for men when compared to women. Despite both scales being independent, results indicated interesting evidence of a substantial prevalence of colors associated with the male scale. According to the literature, this may be associated with dropout and lack of interest in female students, especially in sciences, technology, engineering, and mathematics domains.

show abstract

“…Moreover, a study discovered that saturated and bright colors caused signi cantly stronger skin conductance responses, which indicated a higher level of arousal [13]. In addition to the single color, some papers focused on the visual aesthetics of color combinations, comparing the entire interface palette and demonstrating that an interface with a harmonious color palette could bring favorable feelings, satisfy user preferences and improve performance [6, 14,15]. On the other hand, there was physiological research concentrating on visual comfort that was in uenced by the second neural pathway, commonly utilizing eye-tracking technology and subjective visual comfort questionnaires, including Stimulator Sickness Questionnaire (SSQ) and Visual Functional Questionnaire (VFQ) to assess the interface color design.…”

Section: Introductionmentioning

confidence: 99%

How the Quantity and Hue Contrast of Interface Color Coding Affect Human Perception: Evidence from Two EEG Studies

Ma¹,

Wang²,

Wu³

et al. 2022

Preprint

View full text Add to dashboard Cite

Background Color has considerable effects on physiological and psychological perception in human-machine interaction, but it is unclear how the coding methods of interface color affect users’ perception. The present study investigated the impacts of two dimensions of color coding, quantity and hue contrast, on visual perception from three aspects: brain activity, emotional experience, and visual comfort. Methods Based on the HSV color space, two sets of experiments were designed with three quantity levels of colors and four quantity levels of hues (8, 16, 36 X 1, 2, 4, Random) as well as five combinations of two hue contrasts (30º, 60º, 120º, 180º, 240º in the HSV hue wheel). Participants’ brain activities were monitored within 2000ms of viewing the color stimuli, and subjective evaluations of their emotional and visual experiences were collected. Significant differences were observed in the synchronization of delta (0-4 Hz) and theta (4–8 Hz) bands in the 0-500ms time window and gamma (30-100Hz) oscillation throughout the presentation by using event-related spectral perturbations (ERSPs). Results Expanded color elicited significantly higher arousal of emotion, along with stronger delta and theta band synchronization in the parietal and occipital lobes and enhanced gamma power in the posterior cortex, indicating increased visual processing workload and attention input. Grouping on identical hue significantly weakened the activation of delta and theta bands and did not enhance gamma oscillation as shape Gestalt as the number of groups rose, suggesting that color grouping capably lessens the perceptual load of visual processing. In addition, sharper hue contrasts significantly boosted delta and theta band activity and enhanced low gamma (30-50Hz) activation, and undermined visual experience compared with softer combinations, which might relate to the concentric antagonistic receptive fields of visual cells. Conclusion This paper gives the first elucidation of the eﬀects of color coding on neural activity and subjective perceptions, contributing to the neuroergonomic study of interface color design. These findings bridge the gap between the neural activity of color vision and mental experience during color perception.

show abstract

Affective psychology and color display of interactive website design

Cited by 15 publications

References 41 publications

Developing a scale for gamified e-service quality in the e-retailing industry

Developing a scale for gamified e-service quality in the e-retailing industry

Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias

How the Quantity and Hue Contrast of Interface Color Coding Affect Human Perception: Evidence from Two EEG Studies

Contact Info

Product

Resources

About