A study of the relationship between color-concept association and occupational background for Chinese

Wang, Hailiang; Or, Calvin

doi:10.1016/j.displa.2015.02.003

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…In fact, red color was supported by The Joint Commission46 and the Hong Kong Hospital Authority 47. It might be that the red color-coding system could imbue such concepts as “stop,” “hot,” “danger,” and “caution”48,49 and thus attract more attention to the highlighted sections (ie, the different letters between look-alike drug names). Second, contrast was examined in 25% of the included individual trials and our meta-analysis results supported a better performance of contrast (SMD = −0.437, 95% CI: −0.869 to −0.004, P = .048) than lowercase.…”

Section: Discussionmentioning

confidence: 99%

Effects of Text Enhancement on Reduction of Look-Alike Drug Name Confusion: A Systematic Review and Meta-analysis

Wang

Tao

Yan

2021

Quality Management in Health Care

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Background and Objectives: Drug name confusion induced by look-alike drug names represents a serious health care management problem in practice. Text enhancement by changing visual attributes of look-alike drug names has been proposed and widely applied in practice to mitigate drug name confusion. However, the effectiveness of text enhancement on reducing drug name confusion is yet to be determined. This study aimed to explore the effects of text enhancement on reduction of confusion caused by look-alike drug names through systematic review and meta-analysis. Methods: We searched 5 databases (from database inception to January 2020) for empirical studies that examined the effects of text enhancement on reduction of look-alike drug name-induced drug name confusion. The pooled outcome data were analyzed using either meta-analysis or a narrative synthesis approach. Results: From the 351 identified articles, 11 articles representing 20 individual trials were included. Five basic text enhancement methods were revealed, including Tall Man, red, boldface, contrast, and size enhancement, from which 4 Tall Man variants and 6 text enhancement combinations were derived. The meta-analysis results showed significant reduction in omission errors when using Tall Man (standardized mean difference [SMD] = −0.628, 95% confidence interval [CI]: −1.018 to −0.238, P = .002), red (SMD = −0.516, 95% CI: −1.002 to −0.030, P = .038), boldface (SMD = −1.027, 95% CI: −1.240 to −0.814, P < .001), and contrast (SMD = −0.437, 95% CI: −0.869 to −0.004, P = 0.048), as compared with lowercase. This finding was also supported in our subgroup analysis by task type for name differentiation tasks. No other significant effects of text enhancement were found for either commission errors or response time. Conclusions: Using Tall Man, red, boldface, or contrast could help reduce omission errors (ie, wrong medication selection) caused by look-alike drug names, particularly in name differentiation tasks. However, no text enhancement could shorten name search and/or differentiation time. Our findings could facilitate the understanding of the effects of text enhancement in the prevention of confusion errors caused by look-alike drug names and promote the application of text enhancement in practice.

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Section: Discussionmentioning

confidence: 99%

Effects of Text Enhancement on Reduction of Look-Alike Drug Name Confusion: A Systematic Review and Meta-analysis

Wang

Tao

Yan

2021

Quality Management in Health Care

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“…However, it is also worth mentioning that red was rated as the most favourable colour to display the target in both task types, while its combinations with other colours, e.g., red on black rated as the third most favourable in single-target tasks and the sixth in dual-targets tasks. This may have occurred because people can directly perceive red as ‘caution’ and ‘stop’, which could attract more visual attention than other colours (Chan and Courtney, 2001; Wang and Or, 2015). When rating colour combinations including red, people would like to consider the contrast between red and its background colours before making a decision about their favourable combination(s).…”

Section: Discussionmentioning

confidence: 99%

“…Colour can be perceived to be associated with specific concepts. For instance, people commonly associate red with 'stop' and 'danger' and green with 'safe' and 'go' (Bergum and Bergum, 1981;Courtney, 1986;Chan and Courtney, 2001;Or and Wang, 2014;Wang and Or, 2015;Ng and Chan, 2018), even after taking into account diverse occupational and cultural backgrounds (Or and Wang, 2014;Wang and Or, 2015). Colour can also be associated with drug effectiveness (De Craen et al, 1996;Stegemann, 2005;Tao et al, 2017Tao et al, , 2018a.…”

Section: Colour Combinationmentioning

confidence: 99%

Application of colour combinations on visual search tasks under vibration environments

et al. 2020

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Colour is widely utilised as a visual coding system in visual search, but its application under vibration conditions (e.g., in various vehicles) has not been fully explored. This study was designed to examine the effect of colour combinations on performance of visual search tasks conducted in vibration conditions. Forty-eight university students participated in an experiment where they were required to identify target type and location under 24 colour combinations (half in negative polarity and half in positive polarity) and three vibration conditions (static, low, and high). The findings showed that vibration did not significantly affect performance, perceptions, or physiological aspects. Colour combination significantly affected response time, and the participants preferred colour combinations that had the potential to produce better performance. Colour combinations with negative polarity (e.g., yellow on black and white on black) are recommended for presenting search interfaces. These findings are of importance in human–computer interface designs for information display under vibration conditions.

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“…In a study conducted by Borade et al (2008), participants ranked RED (76%) 7th on a 7-point scale, followed by ORANGE (40%) ranked 6th, BLACK (30%) & YELLOW (28%) ranked 5 th and 4 th respectively, and BLUE (26 %) the last one. Engineering and Operations Management, Melbourne, Australia, November 14-16, 2023 © IEOM Society International Furthermore, Wang & Or (2015) conducted a study to differentiate between different professions, specifically industrial workers, and students. Their findings revealed significant differences in color preferences between these two groups.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing Hazard Level Perception of Colors: A Comparative Study with ANSI Recommendations

Ali Gopang,

Hussain Ali,

Ahmed Shaikh

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Every year, a significant number of people are injured while using products in their homes or as a result of their misuse, emphasizing the importance of risk communication. The purpose of this study is to assess the consistency of color perception and hazard rating among male and female participants in Pakistan with American National Standards Institute (ANSI) recommendations. Undergraduate students from various academic backgrounds participated in the study.The findings show that color perception and hazard rating differed between male and female participants. Participants showed significant mean differences when comparing colors, with some colors rated as more dangerous than others. Surprisingly, the perceived hazard ratings generally matched ANSI recommendations. However, there were some inconsistencies, especially in the differentiation of certain colors. Notably, neither male nor female participants distinguished significantly among "Blue", "Green", and "Yellow." Females did not distinguish significantly between "Blue vs. Orange." Males, on the other hand, did not perceive "Green and Orange" as significantly different. In addition, they (males) did not significantly distinguish between "Yellow and Orange", and similarly they did not perceive a significant difference between "Red and Black." Both (male and female) participants perceived Red as the most hazardous. However, Female participants provided lower scores as compared to male participants. These findings offer valuable insights into the complexities of color perception and its implications for warning label design. These results underscore the need for further research to better understand the relationship between color perception, cultural influences, and hazard communication, particularly in the context of product safety.

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A study of the relationship between color-concept association and occupational background for Chinese

Cited by 8 publications

References 10 publications

Effects of Text Enhancement on Reduction of Look-Alike Drug Name Confusion: A Systematic Review and Meta-analysis

Effects of Text Enhancement on Reduction of Look-Alike Drug Name Confusion: A Systematic Review and Meta-analysis

Application of colour combinations on visual search tasks under vibration environments

Assessing Hazard Level Perception of Colors: A Comparative Study with ANSI Recommendations

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