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Article

Colour Preferences for Surface Shapes on Residential Interior Walls

Interior Architecture and Design, School of Architecture and the Built Environment, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK
Architecture 2024, 4(4), 854-876; https://doi.org/10.3390/architecture4040045
Submission received: 14 May 2024 / Revised: 31 August 2024 / Accepted: 1 October 2024 / Published: 8 October 2024

Abstract

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Researchers have explored primary colour–geometric shape associations since Kandinsky’s correspondence theory. However, there is a gap in the literature regarding interior colour applications on surface shapes. To address this gap, an online study was employed to gather data with 100 participants who were asked to choose their preferred colours for shapes on bedroom walls with follow-up questions on the colour–shape semantic associations, their preference of colours and shapes on bedroom walls independently in addition to their favourite colour, their favourite shape, and colour–shape pairs without interior context. The results revealed that colour–shape preferences in interiors differ from those found in psychology studies, other colour applications on bedroom walls, and other preferences, indicating that colour preference is context-dependent. Interestingly, the most popular colour for surface shapes on bedroom walls is purple, followed by brown and blue. The study contributes to the existing literature by providing colour charts for bedroom applications for professionals in the industry, their clients/users, and future studies. The study presents a preliminary exploration of the topic. Further research could compare various demographic properties (such as gender, age, and culture), different colour attributes (including saturation and lightness), and complex geometric shapes.

1. Introduction

The use of colour in interior architecture is a crucial factor that affects the user experience within the spaces they occupy most (homes, offices, schools, etc.). Numerous research studies have demonstrated the effects of individual colours, colour combinations, and their interaction with other architectural elements (such as materials, architectural lighting) on the interior experience. The relationship between colour, humans, and space has been explored in terms of meaning and context, highlighting that their interaction influences the identity and impression of interiors [1]. Moreover, the shapes on interior walls also contribute significantly to the overall user experience. Shape associations have been of interest to many disciplines, and interesting phenomena were recorded, such as the bouba-kiki effect, in which ‘non-word names are assigned to abstract shapes in systematic ways (e.g., rounded shapes are preferentially labelled bouba over kiki)’ [2] (p. 119). The relationship between colours and basic shapes is a well-studied area in psychology, with numerous researchers exploring the topic [3,4,5]. Although colour–shape preferences have not yet been explored in interior architecture, they have been of interest to the art and design fields. Wassily Kandinsky, a Russian artist who conducted his studies in Bauhaus [4], proposed a correspondence theory based on his empirical-spiritual experiments [6]. He believed in an inner necessity that there is a natural connection between primary colours and shapes such as triangles, squares, and circles due to their angles: specifically, he associates acute angles with warmth, right angles with coolness, and obtuse angles with coldness [6]. According to this Bauhaus artist, the colours associated with geometric shapes are yellow for triangles, red for squares, and blue for circles based on their angles [6]. Makin and Wuerger [5] stated that Kandinsky’s associations became even more integrated into Bauhaus due to the inclusion of a yellow triangle, a red square, and a blue circle in its poster, which was developed by Herbert Bayer (exhibited in Stuttgart in 1968).
Chen et al. [7] suggest that colour–shape associations are rooted in universal and cultural components. It is not hard to agree that the sun is associated with yellow as a universal component, or maybe orange or red [8], an example of ecological basis and world knowledge for colour–shape associations. Jacobsen [9] (p. 911) mentioned everyday world knowledge associations such as warning sign–red triangle and sun–yellow circle and indicated that there are no cardinal rules we can generalise over generations and for different cultures. For instance, traffic signs were unavailable in 1923 for Kandinsky’s participants; however, today, they are ‘in primary colours, internationally standardised, and omnipresent’ [9] (p. 912). Since it is essential for life, the sun can be visually available for the next generations, but such associations are limited. Even the most fundamental colour–shape associations might be questionable. Moreover, like the meaning of white in the West (purity) vs. India (mourning) [10], many colour associations are learned associations and are related to the culture; thus, colour–shape associations are affected by universal and cultural components of human experience. They can also be sourced from very cultural components and an association shared by a small group of people like art students at a school. For instance, Albertazzi et al. [4] stated that Kandinsky conducted his experiments on the Bauhaus population, who were avant-garde elite artists [9] and were familiar with his correspondence theory [6]. Kharkhurin [6] discussed several empirical studies and showed that although non-specialists (non-experts) and art professionals (experts) unfamiliar with Kandinsky’s theory show different results, both groups’ results do not correspond to Kandinsky’s theory, showing Kandinsky’s results might reveal associations of a very specific group in Bauhaus. In their comprehensive study on architecture and interiors, Nowakowski [11] (p. 35) noted that ‘in the past, people were attached to specific shapes and colors, which they usually interacted with for a very long time’; however, since the latter half of the 20th century, different styles and construction techniques have been employed simultaneously. In the 21st century, with the inclusion of social media and the internet, users’ relationships with colour–shape associations have become more transitive. Consequently, colour–shape associations should be examined within their respective cultural contexts.

1.1. Contextual Framework

Recent research studies have challenged Kandinsky’s empirical-spiritual experiment and have not been able to support his colour–shape associations (see Table 1). His claim that universal colour–shape associations dominate cultural and personal differences is so alluring that many researchers seek his correspondence theory in their respective contemporary societies. However, only a few have partially succeeded [4,12]. Both direct and indirect methods prove colour shape associations [13], whereas explicit and implicit testing conditions in these direct and indirect methods do not support Kandinsky’s findings [6]. Although Jacobsen [9] employed a modified Kandinsky questionnaire, their study results could not align with Kandinsky’s results. Ultimately, these studies concluded that no universal colour–shape associations are embedded in the human brain as an aesthetic universal; nevertheless, some may be rooted in an ecological basis [5]. These research studies have demonstrated the existence of non-random associations between colour and shape [4,6,14], which are rooted in ecological basis, culture, and world knowledge [5,7,9,13], not in universal rules embedded in the human brain.
Kharkhurin [6] and Makin and Wuerger [5] further discussed that Kandinsky might have had synesthetic experiences, resulting in powerful associations between these colours and shapes for himself. Kharkhurin [6] claimed that if Kandinsky’s correspondence theory was rooted in associations embedded in the human brain as he proposed, empirical studies, which employ implicit testing, could find similar results. Nonetheless, their implicit testing only reveals square–blue preference consistently and no correspondence to Kandinsky’s theory. Dumitreseu [12] stated that finding universal rules surpassing cultural barriers was a modernist dream that contemporary interior architects could share. Bauhaus had aimed to discover the basic principles of art and design and perfect the use of primary colours and forms, revealing a ‘universal ideal visual language’ for visual communications [9] (p. 903). But in the 21st century, artists/designers/architects and also users are aware that design elements are context- and culture-dependent, although there are some universally shared elements for design disciplines, for example, some universal material [15,16] and colour associations [17].
Albertazzi et al. [4] conducted two experiments with 12 shapes and 40 colours (yellow, green, blue and red) in which the results (see Table 1) refer to naturally biased associations of colours and shapes which appear consistently in the population. Their study did not show any significant effect of ‘size, area/perimeter, and stability of shapes’ [4] (p. 44) and ‘conclude that shape contributes to the choice of hue’ [4] (p. 45). Chen et al. [7] stated that, in line with Albertazzi et al.’s [4] results, colour associations of shapes might be based on lines and angles but not like Kandinsky’s association. Instead, they can be related to world knowledge like sun–circle–yellow [6] and sharp–danger [14]. Chen et al. [7] stated that curved lines (circle, oval, truncated cone) are warm and thus are related to RR (red), YY (yellow), and YR (orange); sharp lines (triangle, rhombus, cone, pyramid) are related to YY, whereas square, parallelogram, hexagon, trapezium, truncated pyramid, which are neither sharp nor curved, are cold and thus associated with BB (blue), BG (blue-green), and GG (green). In an empirical study, participants were asked to create a ‘cute’ rectangle, and they ended up with a more light-coloured rectangle than the reference one [18]. Another previous research study shows that there is a correlation between colour and shape preferences: participants who preferred simple shapes also tended to prefer light or warm colours, while those who preferred complex shapes showed a tendency towards dark or cold colours [19] (p. 188), claiming that these preferences are rooted in the semantic information associated with visual stimuli. These studies show that people can associate shapes and colours to induce meanings which can be applied to interiors. Corresponding to the existing literature, a New European Bauhaus movement [20] promotes user-centric design, placing users and their needs at the heart of the design process, emphasising innovation and sustainability. Investigating user responses to colour–shape relationships in interiors can support their goals. Therefore, this study can benefit the understanding of interiority and user experience.

1.2. Research Scope and Focus

These previous studies about colour–shape associations uncover non-random, naturally biased colour–shape associations, albeit they cannot prove Kandinsky’s correspondence theory. Additionally, they conclude that colour–shape associations are culturally diverse. Although some universal rules (e.g., world knowledge) might affect some associations, Table 1 demonstrates that colour–shape associations vary even with basic shapes and colours. When discussing a topic of preference, it is important to mention preference-for-harmony [21] and factor-t [22], which refer to an inner factor that motivates people to prefer harmonical and aesthetical stimuli. In Eysenck’s study [22] (p. 101), even odours in addition to a visual stimulus (colours, polygons, several visuals from portraits to masks, etc.) were studied, and the author concluded that there is a factor-t in which ‘t’ stands for ‘general factor of aesthetic appreciation’. Therefore, although generalisations should be avoided, research studies can uncover that factor and help interior architects during their design process to decide how to combine colours and shapes to satisfy their clients’/users’ needs and improve user experience in interiors. Considering it is not possible to find universal colour–shape associations that are embedded in the human brain as aesthetic universal, research studies need to find colour–shape preferences/semantics in interiors for their respective contemporary societies. Although there are previous studies about the effects of colours in interiors and basic colour–shape connotations in psychology studies independently, there is a gap in the literature about colour–shape preferences in interiors. Thus, this study investigates colour–shape preferences with colour–shape semantic associations and preferred colours and shapes on bedroom walls as a private residential interior (RI) in addition to favourite colours and shapes and colour–shape associations without context. In this study, colour–shape associations without context refer to matching shapes and colours without considering any particular design, while colour–shape preferences and colour–shape semantic associations refer to their preferences and meanings for an interior context and are investigated by image-based questions.

1.3. Colour–Shape Preferences in Residential Interiors

Before the COVID-19 pandemic shed light on our residential interiors, their colour applications were not investigated as much as other typologies because of their domestic nature. Spörrle and Stich [23] rightfully mentioned that there are not enough scientific research studies about bedrooms in the interior architecture discipline, although people spend a third of their lives in them. Nevertheless, the interiority of a space is based on surface applications, which turn a house into a home [24]. Considering today’s housing crisis in the UK [25], many people see their houses as an asset instead of a utility, so their users (tenants in most cases) aim to leave these interiors without any trace to save their deposits [26]. These financial and social realities for housing encourage the current study to investigate how preference works in residential interiors, particularly on small-scale colour applications. Understanding colour preference on walls (full wall, half wall, shapes, etc.) can result in a better interior experience, enabling interiority. Users can enjoy their homes as personal spaces instead of houses, which are their landlords’ assets, by employing small-scale, affordable colour applications.
Some associations, sun–circle–yellow [6], might be sourced from universal elements; however, unlike Kandinsky’s claim, ecological bases, culture, and world knowledge affect colour–shape associations, and colour–shape preference/semantic associations are expected to be context-dependent. Bar and Neta [3] revealed some aspects of these context-dependent differences: sharp objects are induced by semantic meaning and low-level perceptual properties: sharp–knife and sharp–contoured watches are not preferred, except sometimes their affective value overrides their contour’s associations, such as snake–curve and chocolate bar–sharp corners. Previous studies about colour preferences/semantics [27,28,29,30,31] showed that colour associations are context-dependent, and people prefer different colours for different building/interior typologies. Considering that we can prefer a colour for a textile design (a jumper) or a product design (a notebook) but not on our living room walls is logical. Therefore, colour–shape associations should be studied in interiors exclusively since generalising findings of psychology studies without context could not represent interior preferences.
In a colour–shape preference study, Chen et al. [19] stated that GY (green-yellow) is the least preferred colour because of its associations with sickness and immaturity, while blue is the most preferred colour related to calmness and cleanness. Another previous study [32] (p. 394) revealed that yellow and yellow-green are the least pleasant colours, whereas ‘blue, blue-green, green, red-purple, purple, and purple-blue were the most pleasant’. Previous studies in the UK revealed that green has important associations such as life, growth, and spring [33] and as a wall colour: calm and home [17]. In the context of residential buildings, according to Kaya and Crosby [28], purple is the least favourite colour for residential building types, whereas blue (because of its calming associations such as tranquillity and relaxation) or red (due to past encounters of their participants with brick colours) are the most preferred colours. Purple is related to entertainment buildings and shopping malls since it is associated with creativity and fun [28]. Güneş and Olguntürk [34] showed that in living rooms, red, green, and blue are associated with ‘disgust and happiness’, ‘happiness’, and ‘neutral’, respectively. Potočnik et al. [35] reported that white, blue, and orange are preferred as wall colours for both living room and office walls. On the other hand, a recent study [36] explored semantic aspects of shapes on bedroom walls and concluded that a circle, with its positive associations like warm, calming, etc., is the most preferred shape. Another previous study [19] reported that a circle is the most preferred shape without interior context.
Colour preferences/semantics studies in RI revealed colour charts for bedroom interiors. In a previous study [29], which also investigated bedrooms whilst employing solely colour names without presenting any colour, white was the most preferred colour for all typologies (bedroom, living room, office, and meeting room), whereas brown was highly preferred following white for living rooms. The authors discussed that this might result from stereotypical answers and/or habituation. Similar results were observed by a recent study [35], which found that the inclusion of white colour decreased preferences for other colours. Van der Voordt et al.’s [29] study inspired more recent studies [30,31] to exclude achromatic colours, which ended colour charts for RIs by exploring colour semantics in residential interior types (RITs) (e.g., bedroom, kitchen, etc.) with single (full-wall application) and paired colours (half-wall application). Ulusoy et al. [30] reported different colour associations in different RITs. Their findings showed that some orange colours are consistently associated with negative meanings, thus revealing orange–loud and purple–cold associations for bedrooms. In a successive study, Ulusoy et al. [31] stated that beige could be a colour with a positive meaning for most residential interiors and found that orange also has some negative position in paired colours. Purple was selected less often and with mostly negative meanings [30]. However, in the colour pair study, purple aroused positive meanings in some colour pairs (with red or blue) in some RITs (kids’ room, toilet, and bathroom), allowing the conclusion that its positive meanings depend on the RITs in which it is applied as a wall colour in a pair and the other colours with which it is paired [31].
There are colour preference/semantics studies in interiors. However, shape associations on bedroom walls had not been investigated in-depth until Yıldırım et al.’s [36] study. Although they have investigated fewer shapes without colours and have slightly different approaches to methodology, the existence of these two studies proves the need in the discipline, which has evolved to a level of sophistication that requires in-depth research for shape applications in interiors.

1.4. Research Purpose and Objectives

The current study embraced fluency theory, which states that people prefer visual stimuli that they perceive as easy to process and understand [37], leading participants to pick the most preferred colour–shape pairs for themselves. Research studies have a consensus that there are non-random colour and shape associations, and both universal and cultural components constitute them. This study aims to explore these associations in interiors in terms of preferences and semantics.
The main objective of this study is to reveal colour–shape preferences for interior walls of bedrooms as a private RI.
Furthermore, the study aims to reveal the following:
  • Colour–shape semantics with six adjective pairs (see Appendix C) on bedroom walls,
  • Surface colour preferences and surface shape preferences on bedroom walls, independently,
  • Favourite colours and favourite shapes without interior context, independently,
  • Colour–shape associations without interior context.

1.5. Hypotheses

It was hypothesised that (1) colour preferences for geometric shapes on bedroom walls vary, and (2) colour–shape preferences are expected to be context-dependent, so they follow neither previous psychology studies nor Kandinsky’s associations.
Following the aforementioned aims, respectively, it was hypothesised that
  • Positive colour–shape semantic associations follow colour–shape preference results in this study.
  • For bedroom walls, circle is preferred over other shapes, and warm colours are preferred over other colours,
  • Favourite colours and favourite shapes differ from surface colour preferences and surface shape preferences on bedroom walls,
  • Without assigning them to interiors, in the light of the previous studies, square, circle and triangle would be associated with blue, red, and yellow, respectively. In parallel with their shapes and edges, hexagons might be related to blue/bluish colours, ovals might be associated with red/reddish colours, and rhombi might be related to yellow/yellowish colours.

2. Materials and Methods

2.1. Methodology

The aim of the study is to explore the relationships between surface colours and surface shapes with regard to preferences and semantics in RIs. An online questionnaire was deployed through Google Surveys for this purpose (see Appendix A). Google Surveys was chosen because it can randomise questions and their multiple choices. Participants were recruited from Amazon MTurk and were given a USD 0.5 incentive for their participation. They were only paid if they confirmed their Amazon ID and answered all required questions, providing a survey code proving they were human beings. To be eligible, participants had to self-identify as UK citizens over 18 years old, not colour-blind, and wearing corrective lenses if necessary. Amazon MTurk briefly explained the study, followed by a complete participant information form before obtaining their consent. This information form detailed the requirements for eligibility in the study. In order to begin the questionnaire, participants were required to confirm that they met all the requirements outlined in the information form. This included providing consent and verifying their eligibility to participate. The study had already received ethical approval under project ID 2021_3987. Once these initial steps were completed, participants could proceed with answering demographic questions such as age and education.
To prevent biases, the questions in each section were presented randomly, and their options were randomised. This ensured that participants could not select the same answer by simply choosing the first option and eliminated any potential order effect to contaminate the results. Because the main aim of this study is to reveal colour–shape preferences on bedroom walls, the first section contained imaged-based colour–shape preference questions, and the order of sections was not randomised. The survey consisted of four sections following the demographic questions (see Appendix A), arranged as follows: image-based preferences, image-based semantics, preference questions without images, and follow-up questions. In the image-based preference section of the study, participants were given seven images and asked to choose one colour from a selection of options (red, blue, yellow, green, purple, brown, pink, and orange) for seven different surface shapes (square, circle, triangle, hexagon, rhombus, oval, and wind rose) displayed on a bedroom wall (see Figure 1). Participants were allowed to choose only one colour for each shape and were free to select the same colour for more than one or all of the shapes. Following the preference questions with images, participants were instructed to match colours and adjectives (see Appendix C for the adjective pairs) to the shapes. Adjective pairs are preferred to reflect on the previous studies [27,30,31]. The same images were employed for this section (see Figure 1). This was done to uncover the interior semantics using the same methodology. In the third section of the survey, respondents were asked to select their preferred colour (from the same eight options) and shape (from six options without a wind rose) separately. This was specifically for bedroom walls without any accompanying images. In the last section of the study, participants were given open-ended questions to share their favourite colours and shapes independently. They were also asked to match eight different colours with six shapes without any interior context and were allowed to choose the same colour multiple times. Participants were explicitly instructed to respond solely based on their colour and shape associations without considering any interior and/or design elements.

2.2. Materials

In this study, colour names are employed without physical/digital colour samples as in the previous studies on colour preference [29], which showed that colour names could substitute colours in interior colour preference studies. This methodology is preferred, under COVID-19 restrictions, because different screens might present digitally coloured images significantly differently. Albertazzi et al. [4] reported that the hue of a shape affects preferences, whereas the size, area, and perimeter of the shape are not significant; thus, colour names can be used for colour–shape studies. Additionally, Serra et al. [38] showed that chromaticness of bedroom walls plays a crucial role in colour preferences for bedrooms: similar chromaticness on a colour chart with low chromaticness was preferred more. Therefore, the study primarily concentrates on hue as a colour attribute, whose data can be collected through colour names, as the first attempt to investigate the colour–shape applications in interiors. However, it is essential to acknowledge the lack of colour samples in this study, which should be addressed in future studies with further investigation of other colour attributes, such as saturation and lightness. Nevertheless, the previous studies reported slight differences for real versus virtual interiors [36] and photographs versus 360 VR interior spaces [38], leading to the discussion that future studies of interior architecture should revisit their methodology according to the intended sample group in order to be more inclusive. Online methods enable different participants to contribute to the results, which can lead to a more diverse and well-rounded outcome. It allows individuals from different backgrounds and experiences to share their opinions and insights, eventually leading to a more comprehensive understanding of the topic. Referring back to Kharkhurin’s [6] results on the difference between non-expert and expert colour–shape associations, including participants from different disciplines and backgrounds, it is important to reflect on user demographics.
Red, blue, yellow, green, purple, brown, pink, and orange, which are basic colour terms for all sophisticated languages according to Berlin and Kay’s theory [39], were preferred for more straightforward associations for participants. Achromatic colours of Berlin and Kay’s 11 basic colour terms (white, black, and grey) were excluded to avoid any contamination effect of habitation or stereotypical answers that had been mentioned by Van der Voordt et al. [29]. Seven achromatic images with mid-grey were created to present a bedroom interior with no contaminated variable (see Figure 1): only the surface shapes of the wall behind the bed change in all images. There were no constraints on participants’ creativity and selection when making their design choices. There were no preconceived fashion or design restrictions that hindered them, and they could easily associate the images with their existing bedroom or their envisioned ideal bedroom. Three basic shapes (square, circle, and equilateral triangle) were used in addition to three other shapes (hexagon, oval, and rhombus) that were mentioned in the previous study [7], since they might be used in interior walls of a bedroom. Previous studies have utilised shapes such as semi-circle [14] or truncated pyramid [7], but they are not used in RIs as commonly as the six shapes mentioned. Therefore, it is possible that using these shapes could negatively impact participants’ attention. However, these shapes may be considered for inclusion in future studies. Furthermore, a wind rose design was formed using right-angled isosceles triangles to explore the potential differences between intricate wall designs and simpler shapes. Previous study results [4] found that size, area, and perimeter did not significantly impact the concept, but the choice of hue was affected by shape. Nevertheless, each image of the bedroom had 12 shapes within the same area (as square meter) on the back wall to maintain a consistent design language (see Figure 1) in order to avoid contaminating effects. Potočnik et al. [35] discussed the effects of light and colour on users in interiors. Effects of architectural lighting and materiality (such as texture, surface reflectance, etc.) on colour applications in interiors are well-documented and frequently examined in experimental studies. In this study, all images shared the same visual properties regarding materiality and lighting. Future studies could investigate how these architectural elements affect colour–shape preference and associations.

2.3. Participants

The students of Bauhaus were from various countries but were likely driven to study colours, forms, and other artistic elements [9]. Despite their differences in nationality, age, and gender, they developed a shared culture within the Bauhaus community that might result in Kandinsky’s colour–shape associations. In this study, considering Kharkhurin’s [6] results, participants were asked about their experience with colours, their education, age, and gender. This ensured that the sample group was representative of individuals with varying levels of experience with colour. Nevertheless, the experienced group was not excluded or analysed separately. This is because experts and non-experts are users of residential interiors, and they can be a target group separately or in combined groups for bedroom designs. For instance, a couple may consist of one colour expert and one beginner. When conducting interior architecture studies, it is important to be reluctant while excluding experts or non-experts from participation, as they may represent a significant portion of the target user group. For this study, individuals of all gender identities and age groups (over 18 years old) who are UK citizens were invited to participate. Initially, a pilot study was conducted with 15 participants, and since no amendments were necessary, an additional 85 participants were invited to participate, bringing the total number of participants to 100.
Jacobsen [9] concluded that no colour–shape associations can be universally applied across all cultures. Likewise, Cho et al. [18] noted that the perception of cuteness in a rectangle shape depends on interdependent cultural self-constructs related to their culture. Moreover, Albertazzi [4] and Chen et al. [7] uncovered similarities and differences between Italian and Japanese participants in their respective studies. The influence of culture on these associations was found to be significant. According to Jacobsen [9] (p. 912), factors that affect colour–shape associations are ‘historical and cultural changes, individual education and experience, fashion, and the presence and strength of the individual, group-specific and social motifs’, ergo the shared cultural background of participants is decisive. To maintain consistency with their shared cultural background, participants in this study were requested to be UK citizens, with no inquiry about their race. This refers to participants who were either born in the UK or have family roots in the UK or have resided in the UK for at least six years to obtain UK citizenship. Regardless of their race, religion, or place of birth/residence, they can share a common culture. It is important to note that the questionnaire was only offered in English, meaning that participants must have proficiency in the language. Furthermore, fashion and trends can affect colour preferences. Participants of the same nationality may have access to similar sources, such as social media and magazines, which foster a shared cultural perspective in addition to shared language and trends. By recruiting UK citizens only, the study aimed to minimise these effects of fashion and trends on colour–shape preferences.

3. Results and Discussion

The study’s results were analysed using Microsoft Excel and IBM SPSS 25. The participants’ demographic data revealed their educational backgrounds, with 73% holding a university degree or higher, 19% possessing a master’s or PhD degree, and 8% having a high school diploma or equivalent. The majority of participants (63%) fell into the 25–34 age group, while the remaining participants were split between the 18–24 (5%), 35–44 (24%), 45–54 (7%), and 55–64 (1%) age ranges. Male participants outnumbered female participants at 63%, and 59% of all participants reported intermediate experience levels with colours, with 22% being beginners and 19% being advanced. An independent samples t-test was used to analyse demographic variables, and only a few shapes for some variables showed statistically significant differences (see Appendix B). However, caution should be exercised when interpreting results for groups with a low number of participants, such as the 55–64 age group.
Colour–shape preferences were analysed based on the first four highest percentages, representing at least 60% of all responses as the high level of agreement among participants (see Figure 2 and Appendix C, Table A4). Levels of agreement for these preferences included circle (61%), oval (67%), square (65%), hexagon (66%), triangle (61%), rhombus (66%), and wind rose (61%). Colours ranked 5th or lower could not account for more than 40% of combined preferences, indicating a lower level of preference in this population. According to Albertazzi et al. [4], their participants had not seen any perplexity or difficulty understanding their task. In a similar vein, the comments part, which was an optional open-ended question at the end of the questionnaire, indicated enjoyment of the study with positive comments.

3.1. Colour–Shape Preferences

The primary objective of this study was to investigate colour preferences for various geometric surface shapes on bedroom walls. The preference data were collected from the first section of the online survey by randomised questions and choice orders, which ensured unbiased colour–shape preferences for bedroom walls. The study findings showed that, although purple was the most preferred colour for five shapes, there was considerable diversity in colour–shape preferences regarding bedrooms (see Figure 2); thus, the first hypothesis cannot be rejected. According to the findings, the colour–shape preferences in bedrooms did not align with Kandinsky’s results and only partially aligned with previous psychology studies (e.g., hexagon–violet) [12], showing that colour–shape preference is -context-dependent. Therefore, the second hypothesis cannot be rejected as well. With the exception of the wind rose shape, purple was the most favoured colour for other geometrical shapes, followed closely by brown or blue. This contrasts with the findings of previous studies, such as Kaya and Crosby’s [28] research, which found that purple was the least popular colour for residential buildings, and Ulusoy et al. [30] noted a negative association in bedrooms such as purple–cold, making it less preferable in bedrooms. However, a recent study [31] showed that purple holds neither positive nor negative meaning in most RITs. In fact, it can have positive connotations when paired with certain colours in certain RITs. These differences between studies may be due to cultural differences (UK citizens vs. Turkey or U.S.A. residents), or purple might be preferred as an accent colour on bedroom walls. Accents are ‘more saturated or complementary colors that are used to a much lesser extent or to highlight particular aspects or details. They act as the counterpoint for the composition’ [40] (p. 254). Purple might be related to different meanings on different surface percentages: a small wall application is desirable, whereas a full wall is cold in bedrooms.
According to previous studies [30,31], orange is not a favourable choice for bedroom walls when used as a full- or half-wall application. These findings are consistent with Taft’s findings [27] that orange was the ugliest and loudest colour in a product design study. Additionally, colour semantics studies [30,31] suggest that certain shades of orange may arouse negative associations in RITs, such as being loud in bedrooms as a single colour or being unpleasant and uncomfortable as a paired colour. The authors note that these negative connotations may not be context-dependent and could be generalised for specific orange hues. However, these connotations require further research. A previous study, that was conducted in Slovenia, reported orange as a preferred wall colour, with white and blue, for living rooms and offices [35]. In this study, orange might be preferred for circle and triangle shapes (third preferred colour for both shapes), with the lowest percentage for rhombus and low percentages for other shapes. It is worth noting that according to Mahnke [41], bright orange can be used as an accent colour but not on walls (not just limited to RIs). The current study’s findings support this notion that orange is not associated with a positive experience on interior walls, particularly on RIs, and that very few exceptional applications (on circles and triangles) are preferable. It is possible that specific orange hues might arouse negative connotations or associations that are not suitable for a bedroom. However, individuals may prefer particular orange hues as an accent colour on bedroom walls, but only in specific surface shape applications. For the circle, orange has a higher percentage that competes with purple and brown, which might relate to sun–circle associations, considering it is followed by yellow. Similarly, yellow is highly preferred for triangles, aligning with psychology studies (see Table 1). However, further investigation is needed to uncover the semantic associations’ effects on the colour preference for surface shapes.
According to the study findings, blue and brown had very high percentages after purple. Brown was highly preferred for surface shapes in line with the previous study results [31], which stated that beige is a desirable colour for paired colours on RI walls. It can be stated that earth tones might be suitable choices for bedroom walls for various applications. Similarly, Van der Voordt et al. [29] showed that brown is the second most preferred colour after white for living rooms. Moreover, Kaya and Crosby [28] claimed that blue is the most preferred colour in residential buildings. In addition, Chen et al. [19] stated that blue is desirable due to its calmness and cleanness associations, which correspond with the results of this study. It was also noted that blue was preferred with high percentages for most shapes except circle and rhombus, whereas green tended to be in the middle range for all shapes. In addition to Hutchings’s findings [33], another previous study in the UK [17] showed that the green colour on entire interior walls is associated with positive meanings such as calming and home. However, green as a shape colour did not have a high preference in the current study. These findings indicate that preference for colours on full- or half-wall applications and surface shapes, such as green vs. purple, may differ significantly. In this study, the wind rose shape, which presented more sophisticated design choices on wall applications than other geometrical shapes, had blue as the most preferred colour. That might be interpreted as when there are more complicated and sophisticated applications on bedroom walls, users might prefer slightly different colours because purple is still the second most preferred colour (see Figure 2). More complex wall applications require further investigation in order to clarify their preferred colours with colour semantics.
Yellow, which followed orange, had the lowest percentage for wind rose shapes. Nonetheless, yellow fell into the middle range for hexagons, but orange was preferred less. Pink was preferred more for hexagons, rhombi and wind rose shapes than other shapes, for example, showing the lowest percentage for triangles. Red had very low percentages except for rhombi; its lowest percentages were for circles, ovals, and squares, so it is not recommended for most of these shapes on bedroom walls (see Figure 2). It is interesting to note that hexagons, rhombi, and wind rose shapes had more pink selections than others, triangles had less brown, and rhombi had more red selections than other shapes. These differences show that although purple is the preferred surface shape colour, followed by brown and blue, there are differences between shapes. Moreover, yellow is preferred more for circles and triangles, while green is preferred more for ovals and squares, which shows that it is not possible to predict colour preferences according to corners and angles of shapes for bedroom interiors.

3.2. Colour–Shape Semantic Associations

The study aimed to reveal colour–shape semantics in interiors. While some variations in meaning and shape were found, the overall results did not reveal significant correlations and were mostly aligned with colour preferences. The results (see Appendix C) are promising, but additional research studies with larger sample sizes and varied methods are necessary. It is noteworthy that purple, brown, pink, and blue were consistently identified as the top colours associated with all shapes except for oval (green/passive, yellow/active), square (yellow/weak), hexagon (yellow/small), and wind rose (yellow/slow). Unlike the preference results, wind rose shapes were not significantly associated with blue. Furthermore, pink was more frequently linked to the colour–shape semantics when comparing these results to colour preference results. The hypothesis that positive meanings are more closely linked to preference results than negative meanings was rejected. This could be due to participants feeling overwhelmed by the questionnaire and responding based on their colour–shape preferences. Alternatively, they might have considered other colour attributes (saturation and lightness) and picked hue names accordingly, resulting in the same hue names for opposite meanings, which implies that saturation and lightness might have significant effects on colour semantics for surface shapes on bedroom interiors, as the previous study discussed for residential interior walls [30]. As a result, more research is required to explore the semantic associations between colour and shape combinations.

3.3. Colour and Shape Preferences in Bedrooms

Preference questions without images reveal that blue was the most preferred colour for bedroom walls, which rejects the hypothesis that warm colours would be preferred more (see Figure 3 and Appendix C, Table A5). This result corresponds with Kaya and Crosby’s [28] results, which showed that blue was the most preferred colour for residential buildings, and Potočnik et al.’s [35] finding that blue was one of the most preferred colours on living room walls. Green had a higher percentage as a wall colour in bedrooms, corresponding with previous findings [17,30,33,34]. Interestingly, these results align with previous research suggesting that orange is not desirable for bedroom walls, showing full-wall and surface shape differences in this study. On the other hand, the hypothesis that a circle would be preferred more is not rejected (see Figure 3 and Appendix C, Table A5). The oval shape, which resembles a circle, was also ranked highly in this study. This aligns with findings from previous studies by Chen et al. [19] and Yıldırım et al. [36], which also identified the circle as the most preferred shape. These results show that purple was the preferred colour for bedroom walls, which contradicts the previous studies [28,30,31]. It is possible that the order effect of sections in this study (i.e., image-based colour–shape preference was the first section for all participants) could have influenced participants’ opinions on full-wall colour preferences. Another possibility is that purple has a more positive connotation in the UK compared to previous studies conducted in Turkey [30,31] and the U.S.A. [28].

3.4. Favourite Colours and Shapes

The participants in the study were asked to share their favourite colours and shapes. It was found that blue was the most favoured colour (as mentioned by [8,19,35]), followed by pink. Interestingly, despite having the lowest percentage for bedroom walls (see Figure 3), red ranked third (see Figure 4 and Appendix C, Table A6). It also had a significantly higher percentage than purple and green. This suggests that the participants understood the task, chose colours based on context, and were not fully biased by order effect. The preference for blue and pink might be related to stereotypical gender associations, with blue typically associated with boys and pink with girls. The results show that a favourite colour, preferred wall colour, and preferred colour for surface shape on walls may vary significantly, indicating that colour preference is context-dependent. Circle and oval remained the most favoured shapes, as previous studies have shown [19,36]. The same order of preferred surface shapes on bedroom walls was observed: circle, oval, square, triangle, hexagon, and rhombus (see Figure 3 and Figure 4). Additionally, a few new shapes with a very low percentage were added, such as pentagons, diamonds, heart shapes, and stars. These shapes can be explored in future studies. A comparison of favourite shapes (see Figure 4) and preferred shapes on bedroom walls (see Figure 3) with favourite colours (see Figure 4) and preferred colours on bedroom walls (see Figure 3) indicates that shape preferences might be less context-dependent than colour preferences. The hypothesis that stated preferred surface shapes and favourite shapes should differ is rejected, while the hypothesis that preferred surface colours and favourite colours should differ cannot be rejected.

3.5. Colour–Shape Associations without Interiors

Finally, participants were asked to match colours and shapes, with a wider range of options compared to previous studies. The colour–shape associations of this study indicated that pink, brown, and orange were mostly associated with all shapes, except rhombus, which was associated with pink, orange and yellow (see Figure 5 and Appendix C, Table A7). The hypothesis that square/hexagon, circle/oval, and triangle/rhombus would be associated with blue/bluish, red/reddish, and yellow/yellowish colours, respectively, was rejected by the findings. Although circle and oval were matched with pink, a reddish colour, red itself was the last in order. Only Dumitreseu’s [12] oval-orange and Chen et al.’s [7] rhombus-yellow associations were partially recorded in these results (Figure 5). These differences with previous studies might source from cultural differences. Alternatively, they can be explained by previous studies’ limited number of shapes and colours. The results can be good indicators that people tend to pick different colours when they have more choices. It is important to note that the high percentage for orange, mid percentages for purple and low percentages for blue in all shapes indicate that colour–shape associations cannot show colour–shape preferences on bedroom walls (see Figure 2). Furthermore, although they were asked in the same questionnaire, participants could evaluate them separately. Compared to the image-based colour preference questions for interiors, colour–shape association showed higher agreement for all shapes: circle 71%, oval 80%, square 77%, hexagon 75%, triangle 73%, and rhombus 68% (see Appendix C Table A7). That could be interpreted as indicating colour–shape associations might be stronger when the participants are not asked to consider design/architectural context, enabling diversity.

3.6. Overall Results

The study aimed to investigate colour–shape applications for the interior walls of bedrooms as private interiors. Its findings present unbiased colour–shape preferences for bedroom walls as a RIT. In this study, image-based preferences, preferences without images, and favourite colours revealed a variety of reliable results, showing that colour preference is context-dependent and that the participants understood the tasks. Moreover, the similarities and differences between the current and previous studies (psychology and design/architecture) were discussed. The study results show that colour preference for full-wall, half-wall, and surface shapes can vary significantly in interiors, and for this study, residential interiors (bedrooms). Considering this study employed mid-grey as a full-wall colour, further research studies are needed to explore wall colour–shape preferences in relation to foreground–background colours. Moreover, unlike previous psychology studies, the study showed that it is not possible to predict colour–shape preferences for bedroom walls according to their corners and shapes.
Regarding image-based semantic association questions, the results did not show significant differences between adjective pairs with opposite meanings. This could indicate that colour–shape preferences, favourite colours and shapes, and colour–shape associations were strongly related to the topic and participants paid full attention to these aspects. However, they may have struggled to focus on semantics in a preference study. On the other hand, these results might be due to the effects of saturation and lightness, whose contributions were proved in the previous studies [28,30], which participants might consider during their design choices. Additional research utilising a broader range of research methods and all colour attributes is necessary to understand the semantic aspects related to colour–shape pairs in interior architecture for various typologies.

3.7. Limitations

The study has certain limitations that align with its scope, including the age of participants, the absence of physical/digital colour samples, and the restricted real-life applicability of the results. As discussed in the previous section, certain age groups had significantly more participants than others. This might be due to the online methodology, which younger generations may engage with more effectively than older generations. This limitation of the study highlights the need for further comparative research on colour–shape preferences across different age groups. Lack of physical/digital samples and a limited number of colour names enable the researchers to use online methodology without overwhelming the participants, resulting in a diverse sample group and better engagement. However, physical samples would allow for the exploration of other colour attributes beyond colour names. Future research could replicate the study with physical/digital samples to identify methodological differences and examine the effects of lightness and saturation on colour–shape preferences. Finally, while the study’s results are valuable for researchers and future studies, their real-life applications are limited because the study employed basic colour terms. This limitation can be addressed by employing different methodologies with a broader range of colour options and attributes in future studies. Such future studies could elaborate on these findings and reveal the complexity of the topic.
This study was an initial investigation on how colour preferences for shapes on bedroom walls differ from other colour preferences. Future studies should delve into other colour attributes, demographic differences (such as age, gender, and culture), and a wider variety of shapes, including more complex ones like those following the wind rose pattern used in this study. Additionally, future research should examine the effects of fashion, trends, cultures, and other architectural elements, such as materiality and architectural lighting.

4. Conclusions

Research on colour applications in interiors has been ongoing for many years. However, recent studies by Yıldırım et al. [36] and the current study indicate a need for further investigation into the use of colour in interior architecture with more complex elements such as surface shapes and colour–shape preferences/semantics. This will require significant effort and research to fully understand how colour can be used with other interior architectural elements. Nonetheless, the field has progressed to a point where this type of inquiry is achievable. The results have shown that selecting colours for surface shape applications on walls, choosing colours for walls and favourite colours differ. While colour preferences may vary, the desired surface shape for a wall and favourite shape may not vary as much. In regard to interior architecture, it has been found that users may have a stronger sensitivity to colour applications compared to shape applications.
The differences between the findings of this study and previous research on the colour purple [28,30,31] may be due to cultural differences. Nevertheless, it seems evident that purple is a more desirable colour when paired with certain colours in specific RITs [31] and for small-scale applications such as bedroom wall surface shapes. However, it may not be as suitable for larger areas. After considering the findings of prior research [27,30,31,41] with the current study, it has been determined that interior architects should exercise caution when applying orange to bedroom wall colour schemes. However, similarly to the colour purple, orange might be applicable and desirable for its specific colour attributes in particular contexts such as small wall applications like surface shapes. The study aimed to investigate hue as the first step of elaborated colour charts for colour–shape pairs on RIT walls. It is important to note that previous studies [28,30] showed that lightness and saturation of colour have effects on preference and semantics. Similarly, this study’s image-based semantic association results implied some effects of all colour attributes. Future studies should be conducted to reveal how different colour attributes affect the preference/semantics of surface geometric shapes in interiors. Furthermore, previous studies [30,31] excluded achromatic colours when examining RI colour charts. This study used grey as a neutral colour for bedroom interiors to assess colour applications (of geometric surface shapes) on walls, with white and black excluded. This initiated a further investigation for chromatic–achromatic colour combinations, shape–wall colour pairs as a foreground–background relationship of colours and overall colour charts (colours of floor, furniture, etc.).
This research builds upon prior studies on colours and shapes, incorporating interior perspectives and methodological discussions. Colours (red, blue, yellow, green, purple, brown, pink, and orange) and shapes (square, circle, triangle, hexagon, rhombus, oval, and wind rose) were employed to investigate colour–shape preferences and semantics in residential interiors (RI). For the first time, unbiased colour–shape preferences in bedrooms are presented. The study also compares colour preferences across various contexts and discusses the previous studies’ colour charts. Overall, these findings support the notion that colour preferences in interiors are context-dependent. While psychology studies can offer some valuable insights, it is crucial for the field of interior architecture to conduct extensive and well-structured research on these applications. Research studies should further investigate colour preferences and semantics to understand users’ experiences, behaviours, and needs. This will benefit professionals such as interior architects, architects, interior designers, and designers and users.
According to Sommer et al. [14], more investigation is required on this subject using a range of research techniques and resources. As a response to their call, this study sought to explore the relationship between colour and surface shape in interior architecture using online tools. Online tools have expanded the sample group beyond just undergraduate and graduate students to include the general public, despite their limitation to using hue names for colour exploration. This has had a positive effect that outweighs any negative effects. With the rise of AI, peoples’ lives will become more digitised. From metaverse to social media and to NFTs, online tools might dominate their choices of colours and interiors in the future. Therefore, the design and architecture disciplines must adapt and discover ways to communicate fluently with the new digital generations. This study contributes to this goal. The findings of this study will be beneficial to professionals and researchers in the fields of architecture, design, and psychology. Future studies should focus on colour–shape semantics and provide a more comprehensive understanding of the context–colour relationship with various shapes, colours, interior types, and methodologies.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Research Ethics Committee (REC) (Human Ethics Committee (PR)) of University of Lincoln (UoLReview Reference2021_3987 and 22 June 2021).

Informed Consent Statement

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

Data Availability Statement

Data available on request due to restrictions eg privacy or ethical.

Acknowledgments

The author would like to express their gratitude to Arda Günaydın for providing the visuals, her late mother Serap Günay Ulusoy and her beloved father İsmail Orhan Ulusoy for unconditional support, and to the 100 participants who generously gave their time for the empirical study. During the writing process, Grammarly/Copilot generated responses to the following AI prompts: improve the text and its English grammar. The author reviewed and edited the generated responses as necessary.

Conflicts of Interest

The author reports there are no competing interests to declare.

Appendix A

Content of the online questionnaire:
The online questionnaire starts with the following information and questions:
  • Information and Consent Forms
  • Participant Requirements (giving their consent based on the information and consent forms, UK citizen, over 18, not colour-blind, and wearing corrective lenses if necessary).
  • Demographic Questions such as age, gender, etc.
Section-1 (image-based preference): Colour Preference for Shapes on a Bedroom Wall (multiple choice questions with an image of a bedroom; each question has different surface shapes on the wall)
Multiple-choice Question: ‘Please select your preferred colour for circle shape on the bedroom wall in the image below’ (shape name changes in each image accordingly, please see Figure 1 for all shapes and their respective images).
Choices: Red, Green, Blue, Yellow, Brown, Pink, Orange, Purple
Section-2 (image-based semantics): Meanings of Shapes with Colours on a Bedroom Wall (multiple-choice questions with an image of a bedroom; each question has different surface shapes on the wall)
Multiple-choice Question: ‘Please select a colour which you relate to each adjective on the list below for the circle on the bedroom wall in the image below. You need to select a colour for each adjective; however, you can select the same colour for more than one adjective’ (shape name changes in each image accordingly, please see Figure 1 for all shapes and their respective images).
Choices:
Table A1. Adjectives and colour in the questionnaire.
Table A1. Adjectives and colour in the questionnaire.
RedGreenYellowBlueBrownPurplePink Orange
Active
Passive
Beautiful
Ugly
Large
Small
Bad
Good
Strong
Weak
Fast
Slow
Section-3 (preference questions without images): What is your favourite?
Multiple-choice Question-1: ‘Which colour do you prefer for a bedroom wall (regardless of its shape)?’
Choices: Red, Green, Blue, Yellow, Brown, Pink, Orange, Purple
Multiple-choice Question-2: ‘Which shape do you prefer for a bedroom wall (regardless of its colour)?’
Choices: Square, Circle, Oval, Triangle, Hexagon, Rhombus
Section-4 (follow-up questions): Shapes and Colours without Interiors
Open-ended Question-1: ‘Please write your favourite colour’s name’ (open-ended question)
Open-ended Question-2: ‘Please write your favourite shape’s name’ (open-ended question)
Multiple-choice Question-3: ‘Please select your preferred colour for each shape (without assigning them to an interior)’
Choices:
Table A2. Adjectives and colour in the questionnaire.
Table A2. Adjectives and colour in the questionnaire.
RedGreenYellowBlueBrownPurplePink Orange
Active
Passive
Beautiful
Ugly
Large
Small
Bad
Good
Strong
Weak
Fast
Slow
The questionnaire ends with final questions such as worker ID (assigned by Amazon MTurk), optional comments, etc.

Appendix B

Table A3. T-test results for comparison of gender, age, education and experience groups (0.07–0.05 range is presented for consideration and discussion while <0.05 results are statistically significant–in bold).
Table A3. T-test results for comparison of gender, age, education and experience groups (0.07–0.05 range is presented for consideration and discussion while <0.05 results are statistically significant–in bold).
VariableShapeSig. (2-Tailed)
GenderTriangle0.050
Experience: beginner vs. intermediateOval0.052
Hexagon0.021
Experience: beginner vs. advance Hexagon0.047
Age: 18–24 vs. 25–34Circle0.012
Age: 18–24 vs. 45–54Square0.048
Age: 18–24 vs. 55–64Circle0.045
Square0.057
Age: 25–34 vs. 35–44Circle0.055
Age: 45–54 vs. 55–64Rhombus0.047
Education: High School degree or equivalent vs. University degreeTriangle0.035
Education: High School degree or equivalent vs. Master/Ph.D. degreeCircle0.051
Square0.042
Triangle0.001
Education: University degree vs. Master/Ph.D. degreeTriangle0.023

Appendix C

Preferred colours for shapes on bedroom walls (the study embraced colour names; the table’s colours are representative). R: Red, G: Green, Y: Yellow, Bl: Blue, O: Orange, Br: Brown, Pi: Pink, Pu: Purple
Table A4. Figure 2’s data as percentages. Preferred colours for shapes on bedroom walls.
Table A4. Figure 2’s data as percentages. Preferred colours for shapes on bedroom walls.
Circle %Oval %Square %Hexagon %Triangle %Rhombus % Wind Rose %
Purple 16Purple 22Purple 18Purple 27Purple 20Purple 19Blue 21
Brown 16Brown 19Brown 18Brown 16Blue 17Brown 16Purple 14
Orange 15Blue 16Blue 16Pink 12Orange 12Red 16Brown 13
Yellow 14Green 10Green 13Blue 11Yellow 12Pink 15Pink 13
Blue 13Oran 10Pink 12Yellow 11Green 11Blue 13Red 13
Green 10Yellow 10Yellow 9Green 8Red 10Green 11Green 10
Pink 9Pink 7Orange 7Red 8Brown 9Yellow 7Orange 8
Red 7Red 6Red 7Orange 7Pink 9Orange 3Yellow 8
Table A5. Figure 3’s data as percentages. Preferred colours and shapes for bedroom walls, separately.
Table A5. Figure 3’s data as percentages. Preferred colours and shapes for bedroom walls, separately.
Preferred Bedroom Colour (Regardless of Its Shape) %Preferred Bedroom Shape (Regardless of Its Colour) %
Blue 31Circle 28
Purple 19Oval 23
Green 14Square 19
Pink 12Triangle 13
Yellow 7Hexagon 11
Brown 6Rhombus 6
Orange 6
Red 5
Table A6. Figure 4’s data as percentages. Favourite colours and favourite shapes without assigning interiors.
Table A6. Figure 4’s data as percentages. Favourite colours and favourite shapes without assigning interiors.
Favourite Colour’s NameFrequencyFavourite Shape’s NameFrequency
Blue28Circle36
Pink26Oval19
Red15Square13
Purple9Triangle10
Green9Hexagon8
Brown2Rhombus4
Black2Pentagon1
White2Diamond1
Yellow2Heart shape1
Ultramarine blue1Star1
Orange1
Table A7. Figure 5’s data as percentages. Colour–shape associations (without interiors).
Table A7. Figure 5’s data as percentages. Colour–shape associations (without interiors).
Circle %Oval %Square %Hexagon %Triangle %Rhombus %
Pink22Pink38Brown29Pink32Pink28Pink22
Brown19Brown20Orange18Orange19Brown17Orange17
Orange18Orange13Pink18Brow14Orange15Yellow16
Purple12Purple9Yellow12Yellow10Green13Brown13
Yellow9Blue9Green9Green8Purple11Green10
Green9Yellow6Purple7Purple6Yellow10Purple10
Blue7Green3Red4Red6Red5Blue9
Red4Red2Blue3Blue5Blue1Red3
Table A8. Preferred colours for shapes on bedroom walls (the study embraced colour names; the table’s colours are representative). R: Red, G: Green, Y: Yellow, Bl: Blue, O: Orange, Br: Brown, Pi: Pink, Pu: Purple.
Table A8. Preferred colours for shapes on bedroom walls (the study embraced colour names; the table’s colours are representative). R: Red, G: Green, Y: Yellow, Bl: Blue, O: Orange, Br: Brown, Pi: Pink, Pu: Purple.
SquareUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
R 2R 2R 5R 5G 5G 4O 5R 5G 8R 3R 2R 5
O 9O 4G 9G 9R 7Y 7R 5G 7R 8Y 3G 6O 6
G 11G 7O 9Bl 10O 10O 9Bl 8P 10O 9G 8O 10Y 6
Y 11Y 8Y 10O 10Pu 14R 10G 9Y 11Y 9O 8Y 10G 10
Bl 14Bl 19Pi 12Y11Pi 15Br 16Y 12O 12Bl 13Bl 12Br 13Bl 11
Pu 15Br 19Bl 14Pi 15Y 15Bl 17Pi 18Br 15Br 14Br 17Pi 17Pi 18
Pi 17Pu 19Br 15Pu 18Bl 17Pu 18Pu 19B 16Pu 19Pi 18Bl 18Br 21
Br 21Pi 22Pu 26Br 22Br 17Pi 19Br 24Pu 24Pi 20Pu 31Pu 24Pu 23
TriangleUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
R 3Y 1R 2O 5R 4G 5G 4R 4O 6R 2G 2R 4
O 5R 2O 6R 5G 5R 7O 6G 7R 6Y 4R 3Y 5
Bl 9G 8G 7G 8O 5Y 9R 6O 8G 8O 7O 7G 9
G 11O 10Y 11Pi 12Bl 12O 10Y 9Y 8Y 10G 10Bl 10O 10
Y 11Br 16Bl 12Y 12Y 15Br 13Bl 15Bl 14Bl 11Br 15Y 12Bl 14
Pi 13Bl 20Pi 13Br 13Br 17Bl 14Pi 17Pi 15Pi 14Bl 18Pi 18Pi 14
Br 24Pi 21Pu 23Bl 19Pi 20Pi 18Br 20Br 16Br 22Pi 18Br 22Br 21
Pu 24Pu 22Br 26Pu 26Pu 22Pu 24Pu 23Pu 28Pu 23Pu 26Pu 26Pu 23
CircleUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
O 5R 2R 2R 2Y 5G 3R 2G 2G 6R 2R 2R 3
R 5G 4O 6G 7R 6R 5O 8Y 4O 6G 7O 7G 8
G 6O 6G 8Y 7G 7P 9G 9R 5Y 7O 9G 9Y 9
Y 6Pi 12Y 9Br 9O 9O 10Y 9O 7R 8Y 9Y 12O 10
Bl 10Y 13Pu 14O 9Bl 13Y 11Bl 13Pi 15Bl 11Bl 14Bl 14Pi 12
Pi 18Br 19Bl 19Bl 18Br 18Bl 12Pi 15Bl 20Br 18Br 18Pu 17Bl 16
Pu 23Bl 20Pi 20Pi 24Pi 20Br 14Pu 21Br 22Pi 21Pu 20Pi 19Br 16
Br 27Pu 24Br 22Pu 24Pu 22Pu 36Br 23Pu 25Pu 23Pi 21Br 20Pu 26
HexagonUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
R 4R 2R 3R 4R 3Y 6R 3Y 2Y 6R 3R 1R 3
G 5Y 6O 7Y 5G 7G 7G 7R 5R 7O 9O 4G 5
O 7G 7Y 7O 9O 7O 10Bl 8Pi 7G 8G 10G 8O 8
Bl 11O 8G 8Bl 12Bl 10R 10O 8G 9O 8Y 10Y 8Y 8
Y 12Br 14Bl 15G 13Y 12Pi 11Pi 14O 9Br 13Bl 13Bl 14Pi 12
Pu 16Pi 16Br 17Br 18Br 16Bl 12Y 16Bl 16Pi 15Pi 14Pi 16Bl 13
Br 21Bl 22Pu 21Pi 18Pi 21Br 19Pu 21Br 20Pu 19Br 20Pu 24Br 25
Pi 24Pu 25Pi 22Pu 21Pu 24Pu 25Br 23Pu 32Bl 24Pu 21Br 25Pu 26
RhombusUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
G 4Y 2O 4R 2R 3G 6R 5R 3R 4R 6R 2R 3
R 5R 4G 5Y 8G 5O 7O 6G 7G 7G 7Y 5Y 7
O 8O 5R 5Bl 10O 7R 7G 7Y 7O 8O 8O 8O 8
Bl 11G 6Y 5G 10Bl 10Y 8Y 13Br 11Y 11Y 10G 13G 10
Y 11Bl 16Bl 9O 10Y 11Bl 14Pi 14O 12Pi 15Bl 13Pi 13Pi 11
Pi 17Pi 17Pi 21Br 14Pi 20Br 18Bl 15Bl 17Bl 16Br 16Bl 15Pu 17
Pu 20Br 23Br 24Pi 17Br 22Pi 19Pu 19Pu 18Pu 19Pu 17Pu 20Bl 19
Br 24Pu 27Pu 27Pu 29Pu 22Pu 21Br 21Pi 25Br 20Pi 23Br 24B 25
OvalUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
R 4R 4R 3R 3R 5R 8R 1G 6Y 6O 3R 2R 2
O 7G 6Y 6G 7Bl 7G 9O 5R 6O 7R 4O 5G 7
Bl 9O 8O 7O 10O 8Y 9G 6Bl 8R 7Y 8G 8O 8
Y 10Br 10Bl 10Bl 11Y 12O 10Y 11Y 9G 8Bl 9Y 9Y 9
G 11Y 11Pi 13Br 11G 13Br 12Bl 15O 10Bl 15G 13Bl 13Pi 14
Pi 18Bl 15G 14Y 13Br 18Bl 13Pu 19Pi 14Br 16Pi 18Pi 20Bl 17
Br 20Pi 18Br 17Pi 16Pu 18Pi 17Pi 21Br 17Pi 20Br 19Br 21Br 20
Pu 21Pu 28Pu 30Pu 29Pi 19Pu 22Br 22Pu 30Pu 21Pu 26Pu 22Pu 23
Wind RoseUglyBeautifulPassiveActiveWeakStrongSmallLargeBadGoodSlowFast
R 5R 2R 2R 4O 4R 4R 5O 4R 7R 1R 5R 4
Y 6G 6G 7Y 5R 7Y 6O 8G 6G 9G 6O 6G 7
G 10Y 6Y 10G 7Y 9G 9Y 9R 6O 9O 8G 7Y 10
O 11O 7O 12O 12G 10O 9Pi 11Bl 13Bl 11Y 8Bl 12Bl 11
Bl 12Bl 15Pi 15Bl 14Bl 11Br 12G 12Y 13Y 11Bl 16Br 12Pi 12
Pi 15Br 16Pu 15Pi 15Pu 13Bl 17Bl 15Br 17Pi 14Br 18Y 14O 17
Br 20Pi 23Bl 17Br 21Br 18Pi 20Br 19Pu 19Pu 14Pi 20Pi 18Br 19
Pu 21Pu 25Br 22Pu 22Pi 28Pu 23Pu 21Pi 22Br 25Pu 23Pu 26Pu 20

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Figure 1. Seven images with different wall applications (square, circle, equilateral triangle, hexagon, oval, rhombus, a wind rose) (images drawn by Mr Arda Günaydın).
Figure 1. Seven images with different wall applications (square, circle, equilateral triangle, hexagon, oval, rhombus, a wind rose) (images drawn by Mr Arda Günaydın).
Architecture 04 00045 g001aArchitecture 04 00045 g001b
Figure 2. Preferred colours for shapes on bedroom walls (the study embraced colour names; this figure’s colours are representative) (please see Appendix C, Table A4 for the detailed breakdown of data percentages).
Figure 2. Preferred colours for shapes on bedroom walls (the study embraced colour names; this figure’s colours are representative) (please see Appendix C, Table A4 for the detailed breakdown of data percentages).
Architecture 04 00045 g002
Figure 3. Preferred colours and shapes for bedroom walls, separately (please see Appendix C, Table A5 for the detailed breakdown of data percentages).
Figure 3. Preferred colours and shapes for bedroom walls, separately (please see Appendix C, Table A5 for the detailed breakdown of data percentages).
Architecture 04 00045 g003
Figure 4. Favourite colours and favourite shapes without assigning interiors (please see Appendix C, Table A6 for the detailed breakdown of data percentages).
Figure 4. Favourite colours and favourite shapes without assigning interiors (please see Appendix C, Table A6 for the detailed breakdown of data percentages).
Architecture 04 00045 g004
Figure 5. Colour–shape associations (without interiors) (the study embraced colour names, and the colours in the figure are representative) (please see Appendix C, Table A7 for the detailed breakdown of data percentages).
Figure 5. Colour–shape associations (without interiors) (the study embraced colour names, and the colours in the figure are representative) (please see Appendix C, Table A7 for the detailed breakdown of data percentages).
Architecture 04 00045 g005
Table 1. Kandinsky’s correspondence theory and recent studies about its results (references for Kandinsky are sourced from [4,6,12,13]).
Table 1. Kandinsky’s correspondence theory and recent studies about its results (references for Kandinsky are sourced from [4,6,12,13]).
BackgroundsCircle Architecture 04 00045 i001Square Architecture 04 00045 i002Triangle Architecture 04 00045 i003Oval Architecture 04 00045 i004Hexagon Architecture 04 00045 i005Rhombus Architecture 04 00045 i006
KandinskyBauhaus mixed background BLUE Architecture 04 00045 i007RED Architecture 04 00045 i008YELLOW Architecture 04 00045 i009
Jacobsen [9]German participantsYELLOW Architecture 04 00045 i010BLUE Architecture 04 00045 i011RED Architecture 04 00045 i012
Dumitreseu [12]UnknownRED Architecture 04 00045 i013BLUE Architecture 04 00045 i014YELLOW Architecture 04 00045 i015ORANGE Architecture 04 00045 i016VIOLET Architecture 04 00045 i017
Kharkhurin [6]Mixed backgroundNABLUE NA
Albertazzi [4]Italian participantsRED Architecture 04 00045 i018
YELLOW Architecture 04 00045 i019
RED Architecture 04 00045 i020
BLUE Architecture 04 00045 i021
YELLOW Architecture 04 00045 i022
Chen et al. [7]Japanese participantsRED Architecture 04 00045 i023BLUE Architecture 04 00045 i024
GREEN Architecture 04 00045 i025
YELLOW Architecture 04 00045 i026YELLOW Architecture 04 00045 i027
RED Architecture 04 00045 i028
BLUE Architecture 04 00045 i029
GREEN Architecture 04 00045 i030
YELLOW Architecture 04 00045 i031
Chen et al. [13]Japanese participantsRED Architecture 04 00045 i032BLUE Architecture 04 00045 i033YELLOW Architecture 04 00045 i034
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Ulusoy, B. Colour Preferences for Surface Shapes on Residential Interior Walls. Architecture 2024, 4, 854-876. https://doi.org/10.3390/architecture4040045

AMA Style

Ulusoy B. Colour Preferences for Surface Shapes on Residential Interior Walls. Architecture. 2024; 4(4):854-876. https://doi.org/10.3390/architecture4040045

Chicago/Turabian Style

Ulusoy, Begüm. 2024. "Colour Preferences for Surface Shapes on Residential Interior Walls" Architecture 4, no. 4: 854-876. https://doi.org/10.3390/architecture4040045

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