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Article

Aroused and Impulsive Effects of Colour Stimuli on Lateral and Logical Abilities

by
Guobin Xia
1,*,
Muzi Li
2,
Philip Henry
1,
Stephen Westland
1,
Francisco Queiroz
1,
Qiwei Peng
3 and
Luwen Yu
1
1
School of Design, University of Leeds, Leeds LS2 9JT, UK
2
School of Media, Harbin Normal University, Harbin 150080, China
3
Department of Informatics, University of Sussex, Brighton BN1 4GE, UK
*
Author to whom correspondence should be addressed.
Behav. Sci. 2021, 11(2), 24; https://doi.org/10.3390/bs11020024
Submission received: 14 December 2020 / Revised: 19 January 2021 / Accepted: 2 February 2021 / Published: 7 February 2021
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Versions Notes

Abstract

:
The purpose of this study was to explore the influence of environmental colour on people’s lateral and logical abilities. This was done by evaluating study participants’ response time and error rate when completing six types of psychometric tests that were performed in various hue backgrounds on a computer. To maximise the colour stimulation provided by the monitor, the experiment was carried out in a dark laboratory. Analysis of participants’ response time and error rate showed that different colours could significantly influence arousal and impulsiveness, which suggests that colour has indirect impacts on cognitive abilities. Further analysis revealed that different colours had various effects depending on the type of psychometric test given. These findings suggest that future research on environmental design should consider how to effectively use colour to impact people’s performance and behaviour.

1. Introduction

The study evaluated the influence of colour stimuli on people’s cognitive abilities with particular focus on logical and lateral abilities. The human brain divides into two distinct cerebral hemispheres, and each of them tends to lateralise and specialise in different cognitive abilities [1,2,3]. Notably, the right hemisphere is responsible for lateral abilities (i.e., creative thinking, imagination, holistic perception and emotional thought), while the left hemisphere is in charge of logical abilities (i.e., analytical thought, detail-oriented perception, ordered sequencing, rational thought, and math/science) [4,5,6,7]. Colour and light as a ubiquitous perceptual stimulus have been manifested in the previous studies in optimistically affecting people’s cognitive functions [8], human perceptions [9], psychological and emotional reactions and ultimately [10,11], behavioural intentions [12]. However, research investigating the influence of colour stimuli on people’s lateral and logical abilities is limited. Questions that this study deems significant and attempts to answer are (1) whether colours could influence people’s cognitive abilities, and (2) how?
There is a rich history of studies that relates to how environmental colours can affect people’s behaviours and performance. For instance, Elliot, et al. [13] investigated the connection between colour and human psychological reactions with particular focus on red and performance attainment. Results of their work found a clear link between colours and emotions through various observed behavioural (i.e., task choice) and psychophysiological (i.e., cortical activation) reactions. The study by Elliot, et al. [13] was impressive in its contribution to illustrate that colour can act as a subtle environmental cue that has essential impacts on people’s behaviours. Yildirim, et al. [14] studied the effects of three different colours (cream, blue, and pink) on the interior wall surfaces of classrooms on the perceived performance of male students. They observed that students felt more positive in spaces with blue walls compared to cream and pink coloured spaces. It is suggested that the effective use of colours in the design of classrooms do have significant impacts on students’ perceptual performances. Interestingly, some studies carried out explored the intensity lighting impacts have on people’s electroencephalogram (EEG) power [15,16]. Results have demonstrated the stimulus of short and long wavelength light on people’s alpha, theta, and beta power, suggesting that coloured light can promote acute alertness and improve performance on tasks requiring sustained attention.
The impacts of colour inducements on cognitive performance can also be observed in textile design. Significant contributions have been made by Hill and Barton [17], Ilie, et al. [18] and Attrill, et al. [19] in several experiments demonstrating that red relative to blue clothes have significantly higher opportunities to win in competition or matches. Apart from findings regarding red effects, other researchers additionally reported judokas that wear blue might carry a better performance compared with those wearing white [20,21].
Other studies indicate that people’s emotions and performance can be induced by specific colours [11,22,23,24,25,26], and this indication parallels on the relationship between the impacts of colour on people’s arousal and impulsiveness (Figure 1).
Arousal refers to the physiological and psychological state of being awake. It is relatively crucial in regulating the psychological experience of attention, alertness, information processing (decision-making or judgments), emotions, memory and consciousness [27,28,29], that dimension ranges from deactivation (i.e., calm) to activation (i.e., stress or happiness) [30]. One crucial theory that attempts to explain the empirical relationship between emotional arousal and performance is the U-shaped relationship, initially established by Yerkes and Dodson, and was known as Yerkes–Dodson Law [31]. Specifically, Yerkes–Dodson Law states that raised levels of arousal can enhance performance up to a certain point; however, if beyond the optimum, increased level of arousal is followed by declines in performance [32]. For example, an optimal level of stress before an exam can increase people’s attention on the test and retain the knowledge that you have studied. In contrast, excessive test anxiety can weaken people’s ability to focus and make it more challenging to remember precise answers. Drawing on investigations of the core design elements of colour and light, generally, researchers posited that arousal difference effects could be observed and that the red end of the spectrum increased arousal and the blue reduced arousal [33,34]. Specifically, Greene, et al. [35] explored the connections among hue, arousal and boredom. In their study, a total of 140 undergraduate students (70 males, 70 females) were invited to sit in carrels and exposed to side panels painted either light blue, blue, pink, red, orange, white, brown, green, yellow, or grey. The experiment evaluates students’ aroused level by exploiting Russell and Mehrabian [32] Emotional Response Scale (ERS), Griffitt [36] Personal Feelings Scale (PFS), and Russell and Pratt [37] Affective Quality of Place Scale (AQPS). Their findings show that self-reported arousal and evaluations of the environment were higher with the yellow stimulus than in the other coloured stimulations. Collectively, the work carried out by Greene and colleagues illustrated the potential of colour stimulus as an aroused effect trigger even employing the coloured inducement in less immersive conditions.
Nevertheless, the experiment by Greene and colleagues has some problems. Firstly, they failed to manage the brightness of the colour stimulus when studying the hue influence. Moreover, when participants look at the painted side panels, they must not view a single colour, but a combination of the colour with a background colour, even though one consciously attempts to recognize only one of them. Furthermore, the results of the subjective measure are questionable, as people may mix their feelings before and after each experiment session. However, despite various methods applied in order to measure colour influence on arousal, previous insights into measuring approaches can be generally classified into three types: self-reporting methods (i.e., verbal scales), psychophysical methods (i.e., paper-folding, cognitive tasks), and psychophysiological methods (i.e., GSR, EEG, heart rate) [38,39,40,41].
Impulsiveness is defined as a behavioural ability to respond quickly and without mental reflection, which is essentially associated with the control of thoughts and behaviour [41]. It is well documented in the literature that colour can influence human perceptions and behaviours [17,21]. However, research into the measure of colour on impulsivity is relatively limited but can be generally categorized into four categories: self-report measure, behavioural measure, psychophysiological measure, everyday life experiences measure. For instance, Zentall, et al. [42] used colour stimulation with psychophysical methods to test the impulsivity of attention-problem adolescents. They compared participants’ performance through the Matching Familiar Figures Test (MFFT) between “black and white” and “colourful” patterns. Their results showed that participants were less impulsive with colourful patterns in terms of the reduced error rate of MFFT. Wang, et al. [43] conducted two psychophysical experiments to investigate the effects of environmental colour on impulsive buying behaviour. Their results revealed that environmental colour (blue vs. red) could stimulate people’s impulsive buying behaviour. To be specific, they also observed that participants who were exposed to the blue environment had higher impulsive buying intent than those exposed to the red environment. Sevda, et al. [44] explored the relationship between colour preferences and impulsive behaviour by using Beck Anxiety (BAI), Beck Depression (BDI) and Barrat Impulsivity Scales (BIS). They found colour preference is related to impulsivity. Ciccone [45] used personality, behavioural and neurological methods to study the effect of coloured environments on impulsivity in his PhD thesis, and his results conflicted with conventional opinion that long wavelength (i.e., red light) lights are encouraging and short wavelength lights (i.e., blue light) are calming. A study by Duan, Rhodes and Cheung [26] used a behavioural measure method to examine hue and found that it can have distinct impacts on impulsiveness and arousal, in which the hue seemed to have a greater impact on arousal than impulsiveness. To be specific, their findings revealed that orange and purple can influence people to exhibit a high-aroused state, while yellow leads to the least aroused state. Interestingly, in Duan, Rhodes and Cheung [26], a theoretical framework developed from the Salkind and Wright [46] integrated model was proposed to illuminate both impulsiveness and arousal based on the error-speed theory, which also can be utilized to explain the colour influence on people’s cognitive abilities in this study.
Collectively, many studies have demonstrated that colour can affect performance and behaviours but how do the effects occur on the lateral and logical abilities? Studies reviewed above help to inform the hypothesis that colour can have aroused and impulsive effects on people’s lateral and logical abilities. For a better understanding, and proliferating the potential of colour, the originality of this work builds on previous insights but goes further to develop new knowledge regarding the effective use of the colour design in triggering people’s logical and lateral functions. Psychological experiments have been carried out to study the impacts of colour on people’s aroused and impulsive level to validate the hypothesis, which is an indirect approach to validate the colour impacts on people’s lateral and logical abilities.

2. Methods

2.1. Colour Conditions

The six colour patches and an equally luminous reference white colour (used as a control) were selected from an Adobe HSB colour system based on previous research by Eysenck [47], Yu, et al. [48], Singh [49], Yu, et al. [50], and Duan, Rhodes and Cheung [26]. These colours were used as the background colour for a series of questions and adjusted to have a similar lightness and chroma based on the CIELAB values displayed on the monitor measured by the X-rite i1 Pro in dark laboratory settings (see Table A1 in Appendix A).

2.2. Psychometric Tests

Six types of psychometric test were utilised for measuring the participants’ logical ability (logic rule test, mathematics sequence test), lateral ability (spatial structure test, rotation test) and detail ability (odd one out, same detail test) (see Table A2). For each type of test, there were seven questions and each of these seven questions was assigned a different coloured background. This led to there being 42 questions in total (6 types of test x 7 coloured backgrounds) and each participant was asked to answer all 42 questions. The colours of the backgrounds and the orders of presentation of the questions were randomised (for each participant). However, within each test, each participant was presented with a question with each of the seven coloured backgrounds. Note, however, that for different participants the coloured backgrounds assigned to the questions within a test were different. The purpose of this is to ensure that if one of the questions, for example, was slightly more difficult than another then it would be equally likely to have any of the backgrounds for a particular participant and would remove bias.
Response time and error rate were the two main data gathered from the experiment. In the Results section, these measurements will be used to estimate participants’ aroused and impulsive levels which will be used as an indirect approach to understanding how colour impacts on people’s lateral and logical abilities.

2.3. Participants

A total of 21 participants (aged 20–25 years old, 10 males and 11 females) were recruited for the psychological experiment. To avoid culture effects and the possibility that some participants might be more logical in their approach, all participants were Chinese undergraduate students from the School of Media with similar academic backgrounds (animation studies).

2.4. Experimental Procedure

The experiment was carried out in a dark room with each participant on their own. All participants were required to complete the Ishihara Colour Vision Test before entering the room to ensure that they had normal colour vision. After passing the test, they were asked to read the instructions concerning the entire experimental procedure. Next, a sample test including each type of psychometric test was introduced to familiarise participants with the tests before launching the formal experiment. Participants were asked to focus on the reference white background picture for five minutes to adapt to the experimental lighting conditions. The main experiment started five minutes after they had adapted to the experimental conditions. Each participant spent about 40 min to complete the main experiment. Individual participants were seated in front of a monitor and were asked to choose the right answer for each question as quickly and as accurately as possible by using a mouse (see Figure 2a,b). The monitor used in the experiment had an aspect ratio of 16:9.

3. Results

3.1. General Trend

Statistical analysis was performed using Statistical Product and Service Solutions (SPSS, Armonk, NU, USA) software. Figure 3a,b shows the mean scores for response time and error rate pooled over all six types of test in completing psychological tasks. The green background gave both the fastest response and lowest error rate. A multivariate analysis of variance (MANOVA) was conducted to show the statistical significance of colour backgrounding, participants’ impulsiveness and arousal can be defined as High Arousal (HA), faster reactions and lower error rate; Low Arousal (LA), slower reactions and higher error rate; High Impulsiveness (HI), shorter response time and higher error rate; and Low Impulsiveness (LI) longer response time and lower error rate (all compared with the mean).
As for the response time (Figure 3a), participants performed faster with the reference white than the purple background (p = 0.032). In addition, their response time with the red (p = 0.008) and orange (p = 0.017) was shown to perform faster than the purple background. Furthermore, participants performed significantly faster with the green background than the purple (p = 0.001), and yellow (p = 0.017) backgrounds.
With regard to the error rate (Figure 3b), participants with the green background were shown to make significantly fewer errors compared with participants with the purple (p = 0.000), orange (p = 0.000), blue (p = 0.000) and also the reference white (p = 0.000) backgrounds. Meanwhile, participants with the yellow background made lower errors than the reference white (p = 0.012), red (p = 0.002), blue (p = 0.002), orange (p = 0.001), and purple (p = 0.000) backgrounds (Table A3, Table A4 and Table A5).
Figure 3c visualises colour impacts on general performance in the Error-Speed space. Looking at error rate and response time together, participants were slower to respond, and their error rate was relatively higher with the purple and blue backgrounds, while participants reacted faster, and their error rate was significantly lower with the green background. These findings suggested that participants experienced a LA state when they completed questions with the purple and blue backgrounds and a HA state with the green background. Moreover, for the orange and red backgrounds, participants reacted significantly faster than with the purple, and they made slightly fewer errors than with the purple background. This suggested that participants experienced a HI state with the red and orange backgrounds. Regarding the yellow background, participants were shown to respond slower and made fewer errors, suggesting that participants experienced a LI state here.

3.2. Logical Abilities

Participants’ logical abilities were validated by a logical rule test and mathematics sequence test. Generally, participants responded slowly with the purple background, but faster with the green. However, no statistical significance was observed in their response time with respect to colour influence on logical abilities (Figure 4a). Interestingly, we found participants’ logical abilities were significantly affected by colours with respect to their error rate (Figure 4b). Specifically, participants were shown to make significantly more errors with the orange background compared with the yellow (p = 0.002) and green (p = 0.000) backgrounds. Moreover, compared with the purple background, the participants’ error rate was significantly lower with the green (p = 0.000) and yellow (p = 0.002) backgrounds. Compared with the yellow, the participants’ error rate was shown to be higher than with the blue (p = 0.042) and reference white (p = 0.024) backgrounds. Furthermore, we observed that participants made fewer errors with the green (p = 0.003) compared with the red background (p = 0.024) and the reference white condition (p = 0.007) (Table A6, Table A7 and Table A8).
Together with both the error rate and response time (Figure 4c), our results suggested that participants’ logical abilities can be significantly influenced by green and red with an increasing aroused state and low aroused state with purple and orange. Meanwhile, blue and yellow were demonstrated to have low impulsive effects on participants’ logical abilities.

3.3. Lateral Abilities

Results of the participants’ performance in relation to spatial imagination ability tests were shown to be significantly affected by colours with respect to their response time and error rate. Specifically, in terms of their response time (Figure 5a), participants reacted slower with the purple background compared with the red (p = 0.018) and green (p = 0.01) backgrounds. In addition, a significant difference was also observed between the orange and purple (p = 0.006) backgrounds. With regard to the error rate (Figure 5b), participants made fewer errors with the green background compared with the orange (p = 0.000), red (p = 0.001), purple (p = 0.001), blue (p = 0.000), and reference white condition (p = 0.000). Moreover, participants with the yellow background were shown to make fewer errors in lateral ability tests than those with the orange (p = 0.022), red (p = 0.040), and blue (p = 0.022) (Table A6, Table A7 and Table A8). Results of both error rate and response time (Figure 5c) of the spatial imagination ability tests suggested that participants experienced a HI state with orange, red, and blue backgrounds. Meanwhile, those with the green background were shown to be in a HA state, and the yellow background rarely induced a LI state.

3.4. Detail Abilities

Colour influence on detail abilities was validated through an odd one test and same detail test. Statistical significances were found in participants error rate. As shown in Figure 6a, participants reacted slower with the purple background than the green. However, no significant difference between these two colours on response time was found. Moreover, Figure 6b indicates that participants with the purple background made more errors than the green (p = 0.003) and yellow (p = 0.041) backgrounds. Meanwhile, participants made fewer errors with the green backgrounds than the blue (p = 0.041) and red (p = 0.031) backgrounds. Together with response time and error rate (Figure 6c), we found purple, red, and blue have LA effects on detail abilities. In addition, participants experienced a HA state with the green background, and rarely LI with the yellow background. Orange is located on the border between the LI and LA quadrants, while it is not the colour having no effects on detail abilities.

4. Discussion

This study explores the design potential of colour stimuli on cognitive abilities with a particular focus on people’s logical and lateral functions. Results from psychological experiments showed that colours can significantly influence people’s arousal and impulsiveness, suggesting that colour has indirect impacts on cognitive abilities. Specifically, findings concerning the colour impacts on general, logical, and spatial imagination, and detail abilities can be summarised as follows:

4.1. General Trend

  • Purple leads to the lowest aroused state. It induced participants to make the most errors and had the longest reaction time.
  • Green leads to the greatest aroused state. It induced participants to make the fewest errors and had the shortest reaction time.
  • Yellow leads to the least impulsive state. Participants with yellow made the second most errors, while they reacted faster compared with green.
  • Red and yellow are colours that influence people to be more impulsive.
  • Blue seems to have a low aroused influence on participants’ performance. Participants with blue made more errors compared with orange, yellow, and green. Meanwhile, participants responded slower with blue compared with green.

4.2. Logical Abilities

  • Colour seems to have no significant impact on participants’ reaction time on their logical performance.
  • Yellow leads to the least impulsive state on participants’ logical performance.
  • Yellow and green induced participants to make fewer errors in the logical ability test, suggesting green and yellow may have a positive impact on people’s logical abilities.
  • Green and red are colours that influence people towards more arousal in logical performance.
  • Red seems to have relatively high aroused effects on participants’ logical abilities.
  • Purple and orange are colours that influence people towards low arousal in logical performance.
  • Blue rarely has low impulsive impacts on logical abilities. It induced participants to make more errors in logical tests compared with yellow and green.

4.3. Spatial Imagination Abilities

  • Green leads to the highest aroused state on spatial imagination abilities, suggesting green can positively stimulate people’s left cerebral hemisphere functions (lateral functions).
  • Orange leads to the greatest impulsivity on lateral functions.
  • Orange, red and blue seem to influence participants’ lateral functions with a high impulsivity state.
  • Purple induced participants to make the most errors and had the longest reaction time in lateral ability tests.
  • Red seems to have high impulsivity on participants’ lateral abilities, while it has relatively high aroused effects on participants’ logical abilities. Specifically, participants seem to make fewer errors in logical ability tests than lateral ability tests.
  • Yellow has a low impulsive influence on participants’ lateral abilities.

4.4. Detail Abilities

  • Purple leads to the lowest aroused state on participants’ detail abilities, suggesting purple has a relatively negative influence on people’s logical and lateral abilities.
  • Green leads to the highest aroused influence on participants’ spatial imagination abilities. This also suggests that the colour green can positively influence people’s logical and lateral abilities.
  • Purple, red, and blue are colours that have low aroused effects on detail abilities.
  • Yellow and orange seem to have a relatively low impulsivity state on participants’ detail abilities. Specifically, participants made fewer errors with the orange background compared with the purple.
Above all, many studies have observed our findings and agreed that reddish colours (i.e., red, orange) can influence people with a high impulsivity state [11,33,43,44]. Moreover, we found green seems to have high aroused effects, which is consistent with Ciccone [45] whose results conflict with the conventional opinion that long wavelength (i.e., red light) lights are encouraging and short wavelength lights (i.e., blue light) are calming. In addition, our findings show that blue and yellow induced participants to make more errors, in agreement with Duan, Rhodes and Cheung [26]. However, our findings indicate that green seems to have high aroused effects and purple leads to the lowest aroused state, differing from Duan, Rhodes and Cheung [26] who found purple located in the high aroused quadrant and green seeming to have low aroused effects. A possible explanation for this could be that all participants involved in this study were animators (people good at lateral thinking), and this suggests that colours might have different impacts on lateral and logical thinkers. In that case, the participant selection criteria, although designed to ensure consistency, could be considered a study limitation.

5. Conclusions

The purpose of this study was to explore the influence of environmental colour on people’s logical and lateral abilities. This research used a psychological method to validate the impacts of colour on people’s response time and error rate in completing six types of psychometric tests (varied in hue backgrounds). Through the experiments, we found people’s logical and lateral functions can be significantly influenced by colours. Deliverable potentials of this work would add value to ongoing environmental design research, suggesting that researchers and designers should consider using colour to prompt people’s lateral and logical abilities. These experiments also retain certain limitations. First, due to the practical difficulties in conducting the study (each participant spent about 40 min), we included 21 participants, which is a relatively small number but nevertheless sufficient to show some significant results. Second, all participants were aged from 20 to 25, and thus the findings might not be generalisable to children and the elderly. Further experiments will be performed in the future to expand our findings.

Author Contributions

Conceptualization, G.X.; methodology, G.X.; software, G.X., Q.P. and M.L.; validation, G.X. and M.L.; formal analysis, G.X. and L.Y.; data curation, G.X.; writing—original draft preparation, G.X.; writing—review and editing, G.X., S.W. and P.H., F.Q.; supervision, P.H., F.Q. and S.W.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was approved by the Ethics Committee of University of Leeds (protocol code LTDESN-134).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We appreciate all the participants at the Harbin Normal University who took part in the experiment.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table
Table A1. The Characteristics of the Background Colours.
Table A1. The Characteristics of the Background Colours.
ColoursL *C *ha *b *RGB
Visual Reference White70.010.5128.340.240.19171.27170.01169.86
Red69.4269.0834.3323.9535.01244.31121.54103.56
Yellow70.5269.1399.63−25.5955.21187.82175.9919.87
Blue69.7765.86286.2633.33−36.64110.09158.86255.00
Green67.8967.26177.63−54.76−3.4862.76193.52156.59
Orange68.2967.6667.84−0.5756.18242.31154.3155.88
Purple68.0168.17320.9548.07−22.74221.76129.76243.86
Table
Table A2. Functions of Six Types of Psychometric Tests Used in the Experiments.
Table A2. Functions of Six Types of Psychometric Tests Used in the Experiments.
Cerebral HemisphereCognitive FunctionsTests
Right cerebral hemisphereLogical functionLogical abilities:
Logical rule test
Mathematics sequence
Left cerebral hemisphereLateral functionSpatial imagination abilities:
Spatial structure test
Rotation test
Right cerebral hemisphere: holistic perception;
Left Right cerebral hemisphere: detail oriented perception		Logical & Lateral functionsDetail abilities:
Odd one out
Same detail test
Table
Table A3. MANOVO Analysis of People’s Responses to Colours—General Effects.
Table A3. MANOVO Analysis of People’s Responses to Colours—General Effects.
Descriptive Statistics
Coloured_BackgroundsMeanStd. DeviationN
Response_timeReference white42.186445.30772126
Red38.715637.01419126
Yellow51.484984.10959126
Blue45.902949.64691126
Green34.805930.16076126
Orange40.460645.95477126
Purple57.197473.77608126
Total44.393455.60318882
Error_rateReference white0.42060.49563126
Red0.45240.49971126
Yellow0.26980.44565126
Blue0.46030.50041126
Green0.17460.38114126
Orange0.46830.50098126
Purple0.49210.50193126
Total0.39120.48829882
Table
Table A4. Multivariate Tests of People’s Responses to Colours—General Effects.
Table A4. Multivariate Tests of People’s Responses to Colours—General Effects.
Multivariate Tests a
Effect ValueFHypothesis dfError dfSig.Partial Eta SquaredNoncent. ParameterObserved Power d
InterceptPillai’s Trace0.556547.626 b287400.5561095.2521
Wilks’ Lambda0.444547.626 b287400.5561095.2521
Hotelling’s Trace1.253547.626 b287400.5561095.2521
Roy’s Largest Root1.253547.626 b287400.5561095.2521
Coloured_backgroundsPillai’s Trace0.0685.12812175000.03461.5371
Wilks’ Lambda0.9335.153 b12174800.03461.8331
Hotelling’s Trace0.0715.17712174600.03462.1281
Roy’s Largest Root0.0568.226 c687500.05349.3561
a Design: Intercept + Coloured_backgrounds. b Exact statistic. c The statistic is an upper bound on F that yields a lower bound on the significance level. d Computed using alpha = 0.05.
Table
Table A5. Multiple Comparisons of People’s Responses to Colours—General Effects.
Table A5. Multiple Comparisons of People’s Responses to Colours—General Effects.
Multiple Comparisons
LSD
Dependent Variable(I) Coloured_Backgrounds(J) Coloured_BackgroundsMean Difference (I–J)Std. ErrorSig.95% Confidence Interval
Lower BoundUpper Bound
Response_timeReference whiteRed3.47086.970380.619−10.209817.1514
Yellow−9.29846.970380.183−22.97914.3822
Blue−3.71656.970380.594−17.39719.9641
Green7.38066.970380.29−6.300121.0612
Orange1.72586.970380.805−11.954815.4064
Purple−15.0110 *6.970380.032−28.6916−1.3304
RedReference white−3.47086.970380.619−17.151410.2098
Yellow−12.76936.970380.067−26.44990.9113
Blue−7.18746.970380.303−20.8686.4933
Green3.90976.970380.575−9.770917.5903
Orange−1.7456.970380.802−15.425611.9356
Purple−18.4818 *6.970380.008−32.1624−4.8012
YellowReference white9.29846.970380.183−4.382222.9791
Red12.76936.970380.067−0.911326.4499
Blue5.58196.970380.423−8.098719.2625
Green16.6790 *6.970380.0172.998430.3596
Orange11.02426.970380.114−2.656424.7048
Purple−5.71256.970380.413−19.39317.9681
BlueReference white3.71656.970380.594−9.964117.3971
Red7.18746.970380.303−6.493320.868
Yellow−5.58196.970380.423−19.26258.0987
Green11.09716.970380.112−2.583524.7777
Orange5.44236.970380.435−8.238319.1229
Purple−11.29446.970380.106−24.97512.3862
GreenReference white−7.38066.970380.29−21.06126.3001
Red−3.90976.970380.575−17.59039.7709
Yellow−16.6790 *6.970380.017−30.3596−2.9984
Blue−11.09716.970380.112−24.77772.5835
Orange−5.65486.970380.417−19.33548.0258
Purple−22.3915 *6.970380.001−36.0721−8.7109
OrangeReference white−1.72586.970380.805−15.406411.9548
Red1.7456.970380.802−11.935615.4256
Yellow−11.02426.970380.114−24.70482.6564
Blue−5.44236.970380.435−19.12298.2383
Green5.65486.970380.417−8.025819.3354
Purple−16.7368 *6.970380.017−30.4174−3.0561
PurpleReference white15.0110 *6.970380.0321.330428.6916
Red18.4818 *6.970380.0084.801232.1624
Yellow5.71256.970380.413−7.968119.3931
Blue11.29446.970380.106−2.386224.9751
Green22.3915 *6.970380.0018.710936.0721
Orange16.7368 *6.970380.0173.056130.4174
Error_rateReference whiteRed−0.03170.060090.597−0.14970.0862
Yellow0.1508 *0.060090.0120.03280.2687
Blue−0.03970.060090.509−0.15760.0783
Green0.2460 *0.0600900.12810.364
Orange−0.04760.060090.428−0.16560.0703
Purple−0.07140.060090.235−0.18940.0465
RedReference white0.03170.060090.597−0.08620.1497
Yellow0.1825 *0.060090.0020.06460.3005
Blue−0.00790.060090.895−0.12590.11
Green0.2778 *0.0600900.15980.3957
Orange−0.01590.060090.792−0.13380.1021
Purple−0.03970.060090.509−0.15760.0783
YellowReference white−0.1508 *0.060090.012−0.2687−0.0328
Red−0.1825 *0.060090.002−0.3005−0.0646
Blue−0.1905 *0.060090.002−0.3084−0.0725
Green0.09520.060090.113−0.02270.2132
Orange−0.1984 *0.060090.001−0.3164−0.0805
Purple−0.2222 *0.060090−0.3402−0.1043
BlueReference white0.03970.060090.509−0.07830.1576
Red0.00790.060090.895−0.110.1259
Yellow0.1905 *0.060090.0020.07250.3084
Green0.2857 *0.0600900.16780.4037
Orange−0.00790.060090.895−0.12590.11
Purple−0.03170.060090.597−0.14970.0862
GreenReference white−0.2460 *0.060090−0.364−0.1281
Red−0.2778 *0.060090−0.3957−0.1598
Yellow−0.09520.060090.113−0.21320.0227
Blue−0.2857 *0.060090−0.4037−0.1678
Orange−0.2937 *0.060090−0.4116−0.1757
Purple−0.3175 *0.060090−0.4354−0.1995
OrangeReference white0.04760.060090.428−0.07030.1656
Red0.01590.060090.792−0.10210.1338
Yellow0.1984 *0.060090.0010.08050.3164
Blue0.00790.060090.895−0.110.1259
Green0.2937 *0.0600900.17570.4116
Purple−0.02380.060090.692−0.14180.0941
PurpleReference white0.07140.060090.235−0.04650.1894
Red0.03970.060090.509−0.07830.1576
Yellow0.2222 *0.0600900.10430.3402
Blue0.03170.060090.597−0.08620.1497
Green0.3175 *0.0600900.19950.4354
Orange0.02380.060090.692−0.09410.1418
Based on observed means. The error term is Mean Square (Error) = 0.228. * The mean difference is significant at the 0.05 level.
Table
Table A6. MANOVO Analysis of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Table A6. MANOVO Analysis of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Descriptive Statistics
Coloured_BackgroundsMeanStd. DeviationN
Logical_Response_TimeReference white43.46236.9822242
Yellow61.7532129.3080142
Green39.539637.9546142
Blue54.441256.8389942
Purple67.7787105.38942
Red41.022629.5423642
Orange48.559754.5649842
Total50.936773.33785294
Logical_Error_rateReference white0.47620.5054942
Yellow0.23810.4310842
Green0.19050.3974442
Blue0.45240.5037642
Purple0.50.5060642
Red0.42860.5008742
Orange0.57140.5008742
Total0.40820.49233294
Lateral_Response_TimeReference white46.680558.01342
Yellow49.793748.9130942
Green33.386128.5124842
Blue44.134948.8213442
Purple58.432857.4835242
Red35.413928.6874642
Orange31.528128.206342
Total42.767145.0009294
Lateral_Error_rateReference white0.45240.5037642
Yellow0.26190.44542
Green0.1190.3277742
Blue0.50.5060642
Purple0.45240.5037642
Red0.47620.5054942
Orange0.50.5060642
Total0.39460.48959294
Detail_Response_TimeReference white36.416838.3256542
Yellow42.907747.6341342
Green31.491821.9909842
Blue39.132742.1384942
Purple45.380643.8604642
Red39.710249.6349742
Orange41.29450.1593842
Total39.476342.69481294
Detail_Error_RateReference white0.33330.4771242
Yellow0.30950.467942
Green0.21430.415342
Blue0.42860.5008742
Purple0.52380.5054942
Red0.45240.5037642
Orange0.33330.4771242
Total0.37070.48383294
Table
Table A7. Multivariate Tests of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Table A7. Multivariate Tests of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Multivariate Tests a
Effect ValueFHypothesis dfError dfSig.Partial Eta SquaredNoncent. ParameterObserved Power d
InterceptPillai’s Trace0.801189.496 b628200.8011136.9761
Wilks’ Lambda0.199189.496 b628200.8011136.9761
Hotelling’s Trace4.032189.496 b628200.8011136.9761
Roy’s Largest Root4.032189.496 b628200.8011136.9761
Coloured_backgroundsPillai’s Trace0.2351.9523617220.0010.03970.2621
Wilks’ Lambda0.7782.024361241.1100.04152.9070.994
Hotelling’s Trace0.2672.08236168200.04374.9671
Roy’s Largest Root0.1858.851 c628700.15653.1081
a Design: Intercept + Coloured_backgrounds. b Exact statistic. c The statistic is an upper bound on F that yields a lower bound on the significance level. d Computed using alpha = 0.05.
Table
Table A8. Multiple Comparisons of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Table A8. Multiple Comparisons of People’s Logical, Lateral, and Detail Abilities Affected by Colours.
Multiple Comparisons
LSD
Dependent Variable(I) Coloured_Backgrounds(J) Coloured_BackgroundsMean Difference (I–J)Std. ErrorSig.95% Confidence Interval
Lower BoundUpper Bound
Logical_Response_TimeReference whiteYellow−18.291116.017930.254−49.818713.2364
Green3.922416.017930.807−27.605135.4499
Blue−10.979216.017930.494−42.506720.5483
Purple−24.316716.017930.13−55.84427.2108
Red2.439516.017930.879−29.088133.967
Orange−5.097716.017930.751−36.625226.4298
YellowReference white18.291116.017930.254−13.236449.8187
Green22.213616.017930.167−9.31453.7411
Blue7.31216.017930.648−24.215538.8395
Purple−6.025616.017930.707−37.553125.502
Red20.730616.017930.197−10.796952.2581
Orange13.193416.017930.411−18.334144.721
GreenReference white−3.922416.017930.807−35.449927.6051
Yellow−22.213616.017930.167−53.74119.314
Blue−14.901616.017930.353−46.429116.6259
Purple−28.239116.017930.079−59.76663.2884
Red−1.48316.017930.926−33.010530.0446
Orange−9.020116.017930.574−40.547622.5074
BlueReference white10.979216.017930.494−20.548342.5067
Yellow−7.31216.017930.648−38.839524.2155
Green14.901616.017930.353−16.625946.4291
Purple−13.337516.017930.406−44.865118.19
Red13.418616.017930.403−18.108944.9461
Orange5.881516.017930.714−25.646137.409
PurpleReference white24.316716.017930.13−7.210855.8442
Yellow6.025616.017930.707−25.50237.5531
Green28.239116.017930.079−3.288459.7666
Blue13.337516.017930.406−18.1944.8651
Red26.756216.017930.096−4.771358.2837
Orange19.21916.017930.231−12.308550.7465
RedReference white−2.439516.017930.879−33.96729.0881
Yellow−20.730616.017930.197−52.258110.7969
Green1.48316.017930.926−30.044633.0105
Blue−13.418616.017930.403−44.946118.1089
Purple−26.756216.017930.096−58.28374.7713
Orange−7.537216.017930.638−39.064723.9904
OrangeReference white5.097716.017930.751−26.429836.6252
Yellow−13.193416.017930.411−44.72118.3341
Green9.020116.017930.574−22.507440.5476
Blue−5.881516.017930.714−37.40925.6461
Purple−19.21916.017930.231−50.746512.3085
Red7.537216.017930.638−23.990439.0647
Logical_Error_rateReference whiteYellow0.2381 *0.104680.0240.03210.4441
Green0.2857 *0.104680.0070.07970.4918
Blue0.02380.104680.82−0.18220.2299
Purple−0.02380.104680.82−0.22990.1822
Red0.04760.104680.65−0.15840.2537
Orange−0.09520.104680.364−0.30130.1108
YellowReference white−0.2381 *0.104680.024−0.4441−0.0321
Green0.04760.104680.65−0.15840.2537
Blue−0.2143 *0.104680.042−0.4203−0.0082
Purple−0.2619 *0.104680.013−0.4679−0.0559
Red−0.19050.104680.07−0.39650.0156
Orange−0.3333 *0.104680.002−0.5394−0.1273
GreenReference white−0.2857 *0.104680.007−0.4918−0.0797
Yellow−0.04760.104680.65−0.25370.1584
Blue−0.2619 *0.104680.013−0.4679−0.0559
Purple−0.3095 *0.104680.003−0.5156−0.1035
Red−0.2381 *0.104680.024−0.4441−0.0321
Orange−0.3810 *0.104680−0.587−0.1749
BlueReference white−0.02380.104680.82−0.22990.1822
Yellow0.2143 *0.104680.0420.00820.4203
Green0.2619 *0.104680.0130.05590.4679
Purple−0.04760.104680.65−0.25370.1584
Red0.02380.104680.82−0.18220.2299
Orange−0.1190.104680.256−0.32510.087
PurpleReference white0.02380.104680.82−0.18220.2299
Yellow0.2619 *0.104680.0130.05590.4679
Green0.3095 *0.104680.0030.10350.5156
Blue0.04760.104680.65−0.15840.2537
Red0.07140.104680.496−0.13460.2775
Orange−0.07140.104680.496−0.27750.1346
RedReference white−0.04760.104680.65−0.25370.1584
Yellow0.19050.104680.07−0.01560.3965
Green0.2381 *0.104680.0240.03210.4441
Blue−0.02380.104680.82−0.22990.1822
Purple−0.07140.104680.496−0.27750.1346
Orange−0.14290.104680.173−0.34890.0632
OrangeReference white0.09520.104680.364−0.11080.3013
Yellow0.3333 *0.104680.0020.12730.5394
Green0.3810 *0.1046800.17490.587
Blue0.1190.104680.256−0.0870.3251
Purple0.07140.104680.496−0.13460.2775
Red0.14290.104680.173−0.06320.3489
Lateral_Response_TimeReference whiteYellow−3.11329.716180.749−22.237216.0108
Green13.29439.716180.172−5.829732.4183
Blue2.54559.716180.794−16.578521.6695
Purple−11.75239.716180.227−30.87637.3717
Red11.26659.716180.247−7.857530.3905
Orange15.15249.716180.12−3.971634.2764
YellowReference white3.11329.716180.749−16.010822.2372
Green16.40769.716180.092−2.716535.5316
Blue5.65889.716180.561−13.465224.7828
Purple−8.63919.716180.375−27.763110.4849
Red14.37979.716180.14−4.744333.5037
Orange18.26569.716180.061−0.858437.3896
GreenReference white−13.29439.716180.172−32.41835.8297
Yellow−16.40769.716180.092−35.53162.7165
Blue−10.74889.716180.27−29.87288.3752
Purple−25.0466 *9.716180.01−44.1707−5.9226
Red−2.02789.716180.835−21.151817.0962
Orange1.85819.716180.848−17.265920.9821
BlueReference white−2.54559.716180.794−21.669516.5785
Yellow−5.65889.716180.561−24.782813.4652
Green10.74889.716180.27−8.375229.8728
Purple−14.29799.716180.142−33.42194.8261
Red8.7219.716180.37−10.40327.845
Orange12.60689.716180.195−6.517231.7308
PurpleReference white11.75239.716180.227−7.371730.8763
Yellow8.63919.716180.375−10.484927.7631
Green25.0466 *9.716180.015.922644.1707
Blue14.29799.716180.142−4.826133.4219
Red23.0188 *9.716180.0183.894842.1428
Orange26.9047 *9.716180.0067.780746.0287
RedReference white−11.26659.716180.247−30.39057.8575
Yellow−14.37979.716180.14−33.50374.7443
Green2.02789.716180.835−17.096221.1518
Blue−8.7219.716180.37−27.84510.403
Purple−23.0188 *9.716180.018−42.1428−3.8948
Orange3.88599.716180.69−15.238123.0099
OrangeReference white−15.15249.716180.12−34.27643.9716
Yellow−18.26569.716180.061−37.38960.8584
Green−1.85819.716180.848−20.982117.2659
Blue−12.60689.716180.195−31.73086.5172
Purple−26.9047 *9.716180.006−46.0287−7.7807
Red−3.88599.716180.69−23.009915.2381
Lateral_Error_rateReference whiteYellow0.19050.10370.067−0.01360.3946
Green0.3333 *0.10370.0010.12920.5374
Blue−0.04760.10370.646−0.25170.1565
Purple00.10371−0.20410.2041
Red−0.02380.10370.819−0.22790.1803
Orange−0.04760.10370.646−0.25170.1565
YellowReference white−0.19050.10370.067−0.39460.0136
Green0.14290.10370.169−0.06120.347
Blue−0.2381 *0.10370.022−0.4422−0.034
Purple−0.19050.10370.067−0.39460.0136
Red−0.2143 *0.10370.04−0.4184−0.0102
Orange−0.2381 *0.10370.022−0.4422−0.034
GreenReference white−0.3333 *0.10370.001−0.5374−0.1292
Yellow−0.14290.10370.169−0.3470.0612
Blue−0.3810 *0.10370−0.5851−0.1768
Purple−0.3333 *0.10370.001−0.5374−0.1292
Red−0.3571 *0.10370.001−0.5612−0.153
Orange−0.3810 *0.10370−0.5851−0.1768
BlueReference white0.04760.10370.646−0.15650.2517
Yellow0.2381 *0.10370.0220.0340.4422
Green0.3810 *0.103700.17680.5851
Purple0.04760.10370.646−0.15650.2517
Red0.02380.10370.819−0.18030.2279
Orange00.10371−0.20410.2041
PurpleReference white00.10371−0.20410.2041
Yellow0.19050.10370.067−0.01360.3946
Green0.3333 *0.10370.0010.12920.5374
Blue−0.04760.10370.646−0.25170.1565
Red−0.02380.10370.819−0.22790.1803
Orange−0.04760.10370.646−0.25170.1565
RedReference white0.02380.10370.819−0.18030.2279
Yellow0.2143 *0.10370.040.01020.4184
Green0.3571 *0.10370.0010.1530.5612
Blue−0.02380.10370.819−0.22790.1803
Purple0.02380.10370.819−0.18030.2279
Orange−0.02380.10370.819−0.22790.1803
OrangeReference white0.04760.10370.646−0.15650.2517
Yellow0.2381 *0.10370.0220.0340.4422
Green0.3810 *0.103700.17680.5851
Blue00.10371−0.20410.2041
Purple0.04760.10370.646−0.15650.2517
Red0.02380.10370.819−0.18030.2279
Detail_Response_TimeReference whiteYellow−6.4919.367930.489−24.929511.9476
Green4.9259.367930.599−13.513623.3635
Blue−2.7169.367930.772−21.154515.7226
Purple−8.96399.367930.339−27.40249.4747
Red−3.29359.367930.725−21.732115.1451
Orange−4.87739.367930.603−23.315913.5613
YellowReference white6.4919.367930.489−11.947624.9295
Green11.41599.367930.224−7.022729.8545
Blue3.7759.367930.687−14.663622.2136
Purple−2.47299.367930.792−20.911515.9657
Red3.19759.367930.733−15.241121.636
Orange1.61379.367930.863−16.824920.0522
GreenReference white−4.9259.367930.599−23.363513.5136
Yellow−11.41599.367930.224−29.85457.0227
Blue−7.64099.367930.415−26.079510.7977
Purple−13.88889.367930.139−32.32744.5498
Red−8.21859.367930.381−26.65710.2201
Orange−9.80239.367930.296−28.24088.6363
BlueReference white2.7169.367930.772−15.722621.1545
Yellow−3.7759.367930.687−22.213614.6636
Green7.64099.367930.415−10.797726.0795
Purple−6.24799.367930.505−24.686512.1907
Red−0.57759.367930.951−19.016117.861
Orange−2.16139.367930.818−20.599916.2772
PurpleReference white8.96399.367930.339−9.474727.4024
Yellow2.47299.367930.792−15.965720.9115
Green13.88889.367930.139−4.549832.3274
Blue6.24799.367930.505−12.190724.6865
Red5.67049.367930.545−12.768224.1089
Orange4.08669.367930.663−14.35222.5251
RedReference white3.29359.367930.725−15.145121.7321
Yellow−3.19759.367930.733−21.63615.2411
Green8.21859.367930.381−10.220126.657
Blue0.57759.367930.951−17.86119.0161
Purple−5.67049.367930.545−24.108912.7682
Orange−1.58389.367930.866−20.022416.8548
OrangeReference white4.87739.367930.603−13.561323.3159
Yellow−1.61379.367930.863−20.052216.8249
Green9.80239.367930.296−8.636328.2408
Blue2.16139.367930.818−16.277220.5999
Purple−4.08669.367930.663−22.525114.352
Red1.58389.367930.866−16.854820.0224
Detail_Error_RateReference whiteYellow0.02380.104550.82−0.1820.2296
Green0.1190.104550.256−0.08670.3248
Blue−0.09520.104550.363−0.3010.1105
Purple−0.19050.104550.07−0.39630.0153
Red−0.1190.104550.256−0.32480.0867
Orange00.104551−0.20580.2058
YellowReference white−0.02380.104550.82−0.22960.182
Green0.09520.104550.363−0.11050.301
Blue−0.1190.104550.256−0.32480.0867
Purple−0.2143 *0.104550.041−0.4201−0.0085
Red−0.14290.104550.173−0.34860.0629
Orange−0.02380.104550.82−0.22960.182
GreenReference white−0.1190.104550.256−0.32480.0867
Yellow−0.09520.104550.363−0.3010.1105
Blue−0.2143 *0.104550.041−0.4201−0.0085
Purple−0.3095 *0.104550.003−0.5153−0.1037
Red−0.2381 *0.104550.024−0.4439−0.0323
Orange−0.1190.104550.256−0.32480.0867
BlueReference white0.09520.104550.363−0.11050.301
Yellow0.1190.104550.256−0.08670.3248
Green0.2143 *0.104550.0410.00850.4201
Purple−0.09520.104550.363−0.3010.1105
Red−0.02380.104550.82−0.22960.182
Orange0.09520.104550.363−0.11050.301
PurpleReference white0.19050.104550.07−0.01530.3963
Yellow0.2143 *0.104550.0410.00850.4201
Green0.3095 *0.104550.0030.10370.5153
Blue0.09520.104550.363−0.11050.301
Red0.07140.104550.495−0.13440.2772
Orange0.19050.104550.07−0.01530.3963
RedReference white0.1190.104550.256−0.08670.3248
Yellow0.14290.104550.173−0.06290.3486
Green0.2381 *0.104550.0240.03230.4439
Blue0.02380.104550.82−0.1820.2296
Purple−0.07140.104550.495−0.27720.1344
Orange0.1190.104550.256−0.08670.3248
OrangeReference white00.104551−0.20580.2058
Yellow0.02380.104550.82−0.1820.2296
Green0.1190.104550.256−0.08670.3248
Blue−0.09520.104550.363−0.3010.1105
Purple−0.19050.104550.07−0.39630.0153
Red−0.1190.104550.256−0.32480.0867
Based on observed means. The error term is Mean Square (Error) = 0.230. * The mean difference is significant at the 0.05 level.

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Figure 1. The relationship between the impacts of colour on people’s arousal and impulsive level and cognitive performance.
Figure 1. The relationship between the impacts of colour on people’s arousal and impulsive level and cognitive performance.
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Figure 2. Examples of the experimental setup: (a) Individual participant using the mouse with the green background condition; (b) An example of each of the 7 coloured backgrounds used. Source: Authors.
Figure 2. Examples of the experimental setup: (a) Individual participant using the mouse with the green background condition; (b) An example of each of the 7 coloured backgrounds used. Source: Authors.
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Figure 3. (a) General trend of response time by background colours; (b) General trend of error rate by background colours; (c) Colour impacts on general performance visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
Figure 3. (a) General trend of response time by background colours; (b) General trend of error rate by background colours; (c) Colour impacts on general performance visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
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Figure 4. (a) Response time of participants’ performance in logical abilities by background colours; (b) Error rate of participants’ performance in logical abilities by background colours; (c) Colour impacts on logical abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
Figure 4. (a) Response time of participants’ performance in logical abilities by background colours; (b) Error rate of participants’ performance in logical abilities by background colours; (c) Colour impacts on logical abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
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Figure 5. (a) Response time of participants’ performance in spatial imagination abilities by background colours; (b) Error rate of participants’ performance in spatial imagination abilities by background colours; (c) Colour impacts on spatial imagination abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
Figure 5. (a) Response time of participants’ performance in spatial imagination abilities by background colours; (b) Error rate of participants’ performance in spatial imagination abilities by background colours; (c) Colour impacts on spatial imagination abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
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Figure 6. (a) Response time of participants’ performance in detail abilities by background colours; (b) Error rate of participants’ performance in detail abilities by background colours; (c) Colour impacts on detail imagination abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
Figure 6. (a) Response time of participants’ performance in detail abilities by background colours; (b) Error rate of participants’ performance in detail abilities by background colours; (c) Colour impacts on detail imagination abilities visualised in the Error-Speed space. The bars represent mean changes, while the error bars are the standard error of the mean across individual participants.
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Xia, G.; Li, M.; Henry, P.; Westland, S.; Queiroz, F.; Peng, Q.; Yu, L. Aroused and Impulsive Effects of Colour Stimuli on Lateral and Logical Abilities. Behav. Sci. 2021, 11, 24. https://doi.org/10.3390/bs11020024

AMA Style

Xia G, Li M, Henry P, Westland S, Queiroz F, Peng Q, Yu L. Aroused and Impulsive Effects of Colour Stimuli on Lateral and Logical Abilities. Behavioral Sciences. 2021; 11(2):24. https://doi.org/10.3390/bs11020024

Chicago/Turabian Style

Xia, Guobin, Muzi Li, Philip Henry, Stephen Westland, Francisco Queiroz, Qiwei Peng, and Luwen Yu. 2021. "Aroused and Impulsive Effects of Colour Stimuli on Lateral and Logical Abilities" Behavioral Sciences 11, no. 2: 24. https://doi.org/10.3390/bs11020024

APA Style

Xia, G., Li, M., Henry, P., Westland, S., Queiroz, F., Peng, Q., & Yu, L. (2021). Aroused and Impulsive Effects of Colour Stimuli on Lateral and Logical Abilities. Behavioral Sciences, 11(2), 24. https://doi.org/10.3390/bs11020024

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