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Article

A Content Analysis of Architectural Atmosphere Influencing Mindfulness through the Lens of Instagram

by
Chaniporn Thampanichwat
*,
Suphat Bunyarittikit
,
Chumporn Moorapun
and
Prima Phaibulputhipong
School of Architecture, Art, and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(13), 10063; https://doi.org/10.3390/su151310063
Submission received: 2 May 2023 / Revised: 11 June 2023 / Accepted: 23 June 2023 / Published: 25 June 2023
(This article belongs to the Special Issue Energy Efficiency and Water Conservation in Sustainable Building Design)
Browse Figures
Review Reports Versions Notes

Abstract

:
Mindfulness is a psychological construct that enhances sustainable behaviors, environmental behavior, environmental consumption, mindful consumption, and water and energy sustainable consumption. The state of mindfulness can be affected by the determinator of the physical environment as architecture via the architectural atmosphere. The previous studies show that the discrete areas of knowledge between architecture and mindfulness are still widely unknown. However, image-centered social media platforms such as Instagram seem to be able to provide big data for studying people’s perceptions of architecture. Thus, this study aims to describe the concept design and characteristics of architectural atmosphere in architecture images tagged mindfulness posted to Instagram. A coding framework developed from a previous systematic literature review was conducted for this content analysis. A total of 354 architectural images were screened, coded, and analyzed by five architects. The results highlight that the Japanese traditional architecture (59.20%) looks to be the most architectural atmosphere concept that influences mindfulness, following by Biophilic Design (33.05%), and Buddhist contemplative space (20.06%). In addition, it was found that the most common architectural atmosphere characteristic fostering mindfulness performed calm space (73.58%), focus object (54.45%), concrete material (85.71%), hue color (78.17%), hard light and shadow (78.98%), and view with a tree (60.11%).

1. Introduction

Over the past decades, the human population and economy have continuously grown rapidly [1,2,3,4]. For this reason, the exponential consumption rise has exploited and depleted natural resources that have detrimental effects on the environment [5,6]. Considering the high water and energy consumption, the sustainable use of water and energy in buildings is becoming increasingly necessary to protect the environment [7,8].
To increase sustainability in consumption patterns in buildings, there has been a growing body of research investigating the psychological underpinnings of behavior [9]. Eco-psychologists have paid significant attention to mindfulness as a psychological construct of disrupting automatic routines, reinforcing non-materialistic values, enhancing awareness, and encouraging pro-social values and behavior [10,11,12] as well as pro-environmental behavior [13,14,15,16,17].
Mindfulness is a psychological construct with a significant role in promoting sustainability in architecture, which is gaining interest in a variety of disciplines [10,18,19,20] due to its potential to human environmentally friendly behavior [16,21,22,23,24,25,26,27,28]. Several studies report a positive interrelation between mindfulness and sustainable behavior, environmental behavior [28,29,30,31], mindful consumption [32], sustainable consumption [5,11], environmental consumption, also water and energy sustainable consumption [33,34,35,36].
For the aforementioned reasons, a better understanding of encouraging mindfulness is essential for promoting sustainable behavior and consumption. By reviewing the literature, it found repetitive mindfulness practice can promote mindfulness traits [37,38]. Furthermore, the determinator of the physical environment as architecture seems likely to be able to immediately distract a state of mind and increase mindfulness [39,40,41,42,43,44,45,46,47].
In this study, immediate support of mindfulness within buildings is of particular interest. Some studies show the potential of architectural atmosphere to influence human psychological factors such as mindfulness [48,49]. However, the systematic literature review of architecture fostering mindfulness about sustainability emphasizes that the discrete areas of knowledge between the architectural atmosphere and mindfulness are still widely unknown as previous studies [10,18,50].
In the past, studying experience in architecture was limited to visiting the actual site. However, nowadays, technology has expanded that boundary by sharing photos and opinions about architecture on social media [51,52,53]. Therefore, the information on social media becomes big data [54,55,56]. The image-centered platforms such as Instagram seem to be able to provide large-scale data for studying the perceptions of architecture [57,58,59,60].
For analyzing the content in the images posted to Instagram, several examples of research focus on conducting a content analysis [61,62,63]. This study needs to provide valuable information for a sustainable architectural design strategy to promote eco-friendly behavior. Against this gap and solution in the literature, the main aim of this study was to describe the most common architectural atmosphere features by analyzing the content of architectural images uploaded to Instagram that people in a state of mindfulness are likely to be exposed to. Thus, we review the architectural atmosphere that tends to encourage mindfulness for creating a coding framework for using in the analysis process. After that, architecture and mindfulness through the lens of Instagram were discussed for consideration of the appropriate data for this study.

1.1. The Architectural Atmosphere That May Influence Mindfulness

Mindfulness stems from a Buddhist idea that originated more than 25 centuries ago [64,65]. In 1994, mindfulness was formally introduced into mainstream society by Jon Kabat-Zinn [66,67,68]. It is a state in which people feel awake, connect, attentive, calm, and recover in that present moment [49,65,67,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85].
Gernot Böhme and one hundred percent of mindfulness practitioners indicated that architectural atmospheres are essential for mindfulness [49,50]. Architectural atmosphere refers to the physical characteristics and properties of space that are linked to senses, emotions, feelings, well-being, harmony, and beauty [49,86,87,88,89].
Some scholars stated that architectural atmosphere consists of mass and volume, light, color, sound, and landscape [90,91], while others pointed out that materials and objects are also part of the atmosphere [50,92,93]. However, there are discrete areas of knowledge between the architectural atmosphere and mindfulness that are still widely unknown [10,18,50].
As this research explores architecture via Instagram, the architectural atmosphere studied focuses on the visual elements. Therefore, we selected and regrouped the elements of the architectural atmosphere to be suitable for this study. It can be concluded that the architectural atmosphere is the integration of space, objects, materials, colors, light, and the view that people experience at that moment.
The preliminary study found that the architectural atmosphere that may influence mindfulness is relevant to three architectural concepts. These concepts can be characterized into the six abovementioned components, as discussed below.

1.1.1. The Architectural Atmosphere Design Concept

By reviewing a systematic literature review [18], three mindfulness-fostering architectural concepts were identified. The first idea comes from Kawai Y’s (2018) interview in Japan Society Talk, which mentioned Japanese traditional architecture. This notion promotes mindfulness in the meaning of the connection of body, mind, and space, like a boundary between each part is blurred [80].
Second, the biophilic design that is relevant to three studies appeared in Barbiero G (2021), which directly mentions biophilic design [65], while Hu et al. (2021) addressed the exposure to nature [82] and Sadeghi F (2021) referred to the connection with nature [83]. These concepts of architectural design may increase green mindfulness, attention, restoration, stress recovery, a connection of mind and body, focus on the present moment, and awareness of present life [65,82,83].
The last one is a concept of Buddhist contemplative space from the study of Chen et al. (2022). This theory is consistent with religious buildings which reduce distraction, calm down one’s mind, reside the state of mindfulness, and facilitate mindfulness practice [84].
Therefore, it can be concluded that the architectural atmosphere designed by one of these three concepts may tend to promote mindfulness. Thus, the architectural atmosphere characteristics of three architectural design concepts—traditional Japanese, Biophilic design, and Buddhist contemplative space—will be concluded in the next section.

1.1.2. The Architectural Atmosphere Characteristics

Traditional Japanese architectural design concept refers to an adjustable form and space. The objects can be viewed differently from each side. The color can change over time. In terms of this concept of light, it often designs light and shadows in a way that people cannot see clearly. Kawai mentioned a connection between indoor and outdoor spaces, seeing the leaves change color, and changing by season [18,80].
Biophilic design is about having a space with exposure and connection to nature. The objects include word reminders of nature, sign reminders of nature, and images of nature. In addition, the materials in these spaces contain natural materials, wood, clay, stone, concrete, or highly tactile surfaces. They have hue colors and show color rays. The lighting details refer to natural light, daylight on the wall, light from outside, white light, spotlight, light line, gradation of light to shadow, and hard light with shadow. Natural views, plants, trees, river views, rainwater, and immersive water were considered to be views that foster mindfulness [18,81,82,83].
Last, the Buddhist contemplative space is calm and welcoming. There is an object such as a picture of nature, a nature painting, or a focus object. The color speaks of a colorful Tibetan style, is simple in a Zen style, or a cool color as meditation space. In terms of light, it refers to natural light. Landscape includes overlooking green areas, gardens, forests, nature views, unblocked views, and animals [18,84].
In summary, the review shows that the three architectural atmosphere concepts which tend to foster mindfulness can be divided into their characteristics as shown in Figure 1.

1.2. The Architecture and Mindfulness through the Lens of Instagram

In recent years, Instagram becomes a social media platform providing big data of experience in architecture [57,58,59,60,94]. An Instagram post includes creator-related features (ID and profile), contextual features (date/time and location), and content features (image, hashtags, caption, and comments) [95].
For this study, we focused on finding images that posters seem to experience a state of mindfulness through architecture. So, we first searched for images depicting architecture on Instagram. We then studied the state of mindfulness tagging on Instagram.

1.2.1. Architectural Images Posted to Instagram

Instagram is an image-centric social media [95] in which people must post an image, multiple images, or publish a recording of moving visual images, such as Videos, Reels, and Stories, to be able to publish on Instagram [95,96].
Hu et al. (2014) detected empirically by cluster analysis and qualitative analysis eight popular general Instagram image categories [97]. The categories based on their study include captioned image, selfie, friend, activity, fashion, food, pet, art, landscape, and architecture [61].
For the sake of clarity, for this study we will only consider single images. Since multiple images or videos can be difficult to analyze, what concepts or features of architecture influence mindfulness? For the study of architecture, we only consider architectural images.

1.2.2. Mindfulness Tagged on Instagram

The hashtag is one of the message characteristics used in social networks by typing a word or phrase tagged with the character ‘#’ [98]. Previous studies have shown that hashtags are a tool for communicating emotions, opinions, and experiences to others [99,100]. They are also searchable [101,102].
Some studies use hashtags to reach a certain audience and collect corresponding data [103,104,105,106]. The two researchers created lists of categories [60], and three themes including activities, objects/scenes, and experiences were grouped. Following the aim of this study, mindfulness-related hashtags were explored and presented in Table 1.
As people express themselves through hashtags, this study considers #mindfulness as a proxy for finding images where the poster is in a state of mindfulness. Consider it a way of communicating mindfulness experience on Instagram, which is the word that best matches its purpose.
This study explores the most common attributes of architectural atmosphere concept design and characteristics that are illustrated in an architectural image which people in a state of mindfulness seem to be exposed to. Therefore, this study proposes a content analysis on architectural images tagged #mindfulness and posted to Instagram to answer the following questions:
Q1: Which architectural atmosphere design concepts are in line with most architectural images tagged #mindfulness?
Q2: Which architectural atmosphere characteristics are depicted in most architectural images tagged #mindfulness?

2. Materials and Methods

This study is based on the assessment of architectural images posted on Instagram with tagging #mindfulness. Judging by suitability [61,62,63], a content analysis was undertaken to fill the research gaps and answer the purpose of the study. In this section, the study prepared the data in the data collection process, defined the unit of analysis, developed the coding scheme with testing in the data coding process, and planned to draw the finding report in the data analysis process [107].

2.1. Data Collection

To describe the characteristics of architectural atmosphere related to mindfulness, architectural images tagged #mindfulness posted to Instagram on 17–23 March 2023 were collected. It is almost the shortest period of data collection range we have found; the shortest is 2 days [108,109,110,111,112].
According to the criteria from the literature review (Section 1.2), 371 image links were recorded sequentially using Google Sheets. The exterior and interior of architectural images were collected. The images that depicted content of an activity, art, caption, fashion, food, friend, landscape, and pet were excluded. Moreover, multiple images and videos were not considered.
For accuracy and precision, a researcher, an architectural research assistant, and a master’s degree architectural student performed this process. To ensure the data suitability, we independently screened images to meet all the criteria.
This study did not obtain ethical approval due to it only including the collation and analysis of data available in the public domain. Instagram images were searched using a newly created user account to minimize the chance of accessing private information. This account had never followed anyone before in order to reduce undue influence. Images were not saved and captured in the process. Therefore, saved image links are accessible only when they are still public and not deleted.

2.2. Data Coding

2.2.1. Coding Framework

According to the method of qualitative content analysis [107], a codebook was developed from a previous systematic literature review (Section 1.1) for decoding the data from Section 2.1. Then, it was adjusted specifically for answering the aim of this study. This coding framework was created to consider the architectural atmosphere that describes the influence of mindfulness captured in the image.
The codebook is divided into three columns: component, concept, and characteristic of the mindful architectural atmosphere. The component of a mindful architectural atmosphere comprises six categories: space, object, material, color, light, and view. The concept of the mindful architectural atmosphere includes three architectural design concepts, which are traditional Japanese, biophilic design, and Buddhist contemplative space. Finally, the characteristics of the mindful architectural atmosphere included 46 items, which can be seen in Table 2.
For coding reliability, 10% of the first 37 images were coded by three research assistants and randomized to test. While the data of this study were collected in a dichotomous response set (yes/no), Kuder–Richardson Formula 20 (KR-20) values were calculated [113]. By using SPSS, Kuder–Richardson 20 indicated good reliability (KR-20 = 0.6506) according to the reliability index of Miller, Linn, and Gronlund (2009) [114,115].
Finally, the main researcher reviewed all coding and disagreements, then reached the discussion and definitions development for mutual understanding. Then, the image was decoded by the method in the next section.

2.2.2. Coding Procedure

To confirm validity and fairness, this study was performed using triangulation by an investigator with multiple researcher methods [116]. Moreover, to fill the research gap between architecture and mindfulness, the opinions of professionals were required [50]. Hence, three research assistants (master’s degree architectural students) were trained on data access, code definitions, and recording methods.
The coders reviewed the screened architectural images based on the coding framework and coded all images independently. The decoding of the images on the subject of architectural design concepts mentioned earlier will be considered through the features of the architectural atmosphere appearing in each image by considering which characteristics of the architectural concepts are similar. For architectural features, the decoder will consider whether the characteristics of the architectural atmosphere are found on the image or not. Each component may be considered to align with multiple characteristics. Similar or overlapping features, such as natural materials and wood, will be identified as exhibiting both characteristics in that image.
All coding was checked for missing values, with any missing values being filled by the use of information from the majority. The entire process was conducted on a limited-access Google sheet. To compose the final dataset, the main researcher made the decision based on the result of the three research assistants. The consideration started by looking at the majority opinion; all conflicts were resolved by discussion. The final dataset reported the percentages of agreement between coders as another statistical representation of reliability [117], which can be seen in Table 2.

2.3. Data Analysis

All codes in the final dataset were transformed into numerical data: defying “1” if the coders specified “Yes”, they found that characteristic, and “0” if they assigned “No”, they considered that feature was absent. Statistical analyses were performed by using Google Sheets, an online spreadsheet. The frequencies and percentages were calculated to answer both of these research question as follows, shown in Figure 2.

2.3.1. Thematic Analysis

Thematic analysis was used to answer the first question (Q1): Which architectural atmosphere concepts are in line with most architectural images tagged #mindfulness? On the inductive characteristic, the three concepts of architectural atmospheres: traditional Japanese, biophilic design, and Buddhist contemplative space were used for image classification by the data coding method in Section 2.2. Finally, the number and percentage of images that were considered consistent with each design concept are reported in Section 3.1.

2.3.2. Descriptive Analysis

Descriptive analysis was used to answer the second question (Q2): Which architectural atmosphere characteristics are depicted in most architectural images tagged #mindfulness? A deductive approach was applied to allocate the architectural atmosphere characteristics by each component: space, object, material, color, light, and view according to Section 2.2 methodology. Eventually, the frequency and percentage of images that are considered consistent with the characteristics of the architectural atmosphere are reported in Section 3.2.

3. Results

At the time of the data collection period, there were a total of 371 architectural image posts on Instagram linked to #mindfulness. There are a small number of images that cannot be concluded from the analysis by discussion. Due to the ambiguity of the architectural atmosphere depicted in the images, which is difficult to interpret, we decided to leave them out of the conclusion. Thus, ultimately a total of 354 images were reported and 17 were eliminated without mention.
In the first part, we report the cultural background of the images in the final dataset, which comprises 354 images. This includes the countries where the images were uploaded, the language used in the posts, and the nationality of the posters. In terms of image uploads, the majority (40.40%, n = 150) did not specify the country, while 28 images (7.50%) were from the UK, 27 images (7.30%) were from the US, and the remaining 149 images (44.80%) were from various other countries. In the second part, the majority of 259 images (69.80%) were posted in English, followed by 32 images (8.60%) in Spanish. There were 21 images (5.70%) with no specified language, and the rest were in various other languages. Lastly, the nationality of the posters was mostly unspecified (n = 265, 71.40%). The next highest number of posts were from the UK with 16 posts (4.30%), followed by the US with 15 posts (4.00%). The remaining posts represent various other countries as shown in the images, shown in Figure 3.

3.1. The Theme of Architectural Atmosphere Design Concepts

As mentioned in Section 2.3, one of the aims of this study was to find the most architectural atmosphere concepts in line with most architectural images tagged #mindfulness. Three themes of the architectural design concept from previous studies were used as standard considerations, mentioned in Section 1.1. These include traditional Japanese, biophilic design, and Buddhist contemplative space.
From the final dataset, it was found that 166 (46.89%) of 354 images were associated with the traditional Japanese concept. Subsequently, 117 (33.05%) images were identified as more consistent with the biophilic design than the other two design concepts. The concept that is considered the least common is Buddhist contemplative space design (n = 71, 20.06%). The foregoing results can be summarized in Table 3.

3.2. The Description of Architectural Atmosphere Characteristics

Another objective of this study was to describe the most common architectural atmosphere characteristics depicted in most architectural images tagged #mindfulness, as discussed in Section 2.3. Six components from a previous systematic review were used to clarify. Thus, the architectural atmosphere in this study was divided into space, object, material, color, light, and view, as discussed in Section 1.1. The results of the aforementioned elements from the final dataset will be reported in the next section.

3.2.1. Space

In the 354 images in #mindfulness sample, most of these images were of the calm atmosphere (n = 273, 73.58%) more frequently than exposure to nature (n = 256, 69.00%), with 226 (60.92%) images showing a connection to nature, 189 (50.94%) images representing adjustable space, and 175 (47.17%) images illustrating a welcoming atmosphere. As shown in Table 4.

3.2.2. Object

Of 354 images, there were 202 (54.45%) images that contained focus objects. The object was most commonly depicted as being seen differently from another side (n = 162, 43.67%) and presented an image of nature (n = 128, 34.50%). Word reminders of nature (n = 71, 19.14%), sign reminders of nature (n = 28, 7.55%), and paintings of nature (n = 12, 3.23%) were uncommon. As shown in Table 5.

3.2.3. Material

The majority of material characteristics featured either concrete (n = 318, 85.71%), natural material (n = 240, 64.69%), or wood (n = 228, 61.46%). Half of the images were perceived as stone material (n = 170, 45.82%), followed by approximately one-fourth with highly tactile material (n = 87, 23.45%), and 47 (12.67%) images with clay-like material. As shown in Table 6.

3.2.4. Color

Overall, the colors characterized were mostly of hue color (n = 290, 78.17%). This characteristic is followed by a color appearance that changes with time (n = 203, 54.72%), cool-colored space to meditate (n = 182, 49.06%), and a simple color in Zen style (n = 164, 44.20%). Color rays (n = 119, 32.08%) and colorful traditional Tibetan style (n = 113, 30.46%) colors were used less frequently. As shown in Table 7.

3.2.5. Light

The light characteristics were presented primarily as hard light and shadow (n = 293, 78.98%) and natural light (n = 289, 77.90%). Secondarily, three-fourths of the images represented daylight on the wall (n = 262, 70.62%) and white light (n = 256, 69.00%). Half of them displayed light from outside (n = 177, 47.71%) and a spotlight (n = 173, 46.63%), and 38.54% (n = 143) of all had light that makes it hard to see well. Equally, 38.01% (n = 141) demonstrated darkness to light while 35.04% (n = 130) showed light rays. As shown in Table 8.

3.2.6. View

The most common view characteristics were concurrently assigned to trees (n = 223, 60.11%) and natural view (n = 217, 58.49%). Of 354 images, 175 (47.17%) contained plants, 174 (46.90%) represented an unblocked view, 173 (46.63%) depicted an outdoor–indoor connection, and 168 (45.28%) portrayed a view that was able to change by season. Indefinitely, one-third depicted a forest, wild space, or woodland (n = 110, 29.65%), greenery (n = 93, 25.07%), garden (n = 83, 22.37%), river view (n = 73, 19.68%), immersive water (n = 54, 14.56%), and colored leaves (n = 54, 14.56%). Depicted rainwater (n = 4, 1.08%) and animal images (n = 2, 0.54%) barely appeared. As shown in Table 9.
And finally, we present a graph showing the number and percentage of each feature of the architectural atmosphere in Figure 4.

4. Discussion

Mindfulness is the key to the success of sustainable buildings [10,18]. At the same time, the architectural design strategy itself influences the mindfulness of building occupants [39,40,41,42,43,44,45,46,47]. Previous studies have found that the key architectural element is the atmosphere [48,49]. To bridge the educational gap between architecture and mindfulness, data from social media like Instagram were used [57,58,59,60]. Therefore, the main aim of this study was to describe the most common architectural atmosphere features by analyzing the content of architectural images on Instagram tagged #mindfulness [61,62,63].

4.1. Discussion of the Architectural Atmosphere Concepts

According to literature reviews, the architectural atmosphere can be divided into six components including space, object, material, color, light, and view [48,49,92]. The above six elements can be considered in three design concepts, namely traditional Japanese, Biophilic design, and Buddhist contemplative space [80,81,82,83,84]. However, of the eight studies from which the above three concepts mentioned, traditional Japanese and Buddhist contemplative space concepts were discussed by one publication, whereas the biophilic design concept was associated with three studies (Section 1.1). Thus, it seems that biophilic design concepts and biophilic architectural characteristics appear predominantly in architectural images tagged #mindfulness.
In addition to the previously mentioned eight publications, there are several studies showing the relationship between biophilic design and mindfulness. For example, in order of publication year, the 2017 study referred biophilic design and mindfulness practices [50]. A 2019 study said the biophilic design showed professional mindfulness and responsibility [118]. A study in 2022 showed that integrating biophilic design with spaces can be able to foster self-care practices such as mindfulness meditation [119]. Moreover, the grey literature of the Journal of Biophilic design also included several mentions of biophilic design and mindfulness [120]. In addition, Coalesse, a furniture company, said that biophilic design could promote a mindful office [121].
Notwithstanding, the findings of this study show differences from the trends seen in the review. This is because most of the images are considered to be in line with the characteristics of traditional Japanese architecture, while the biophilic designs only appear in one-third of the images. However, the above-mentioned results may still not be a clear indication of which design concepts have greater potential for promoting sustainability mindfulness in buildings, because the most common concept, such as traditional Japanese architecture, was considered to be relevant to less than half of the picture. This discrepancy should be tested again with other periods, data sources, or methods in future research.

4.2. Discussion of the Architectural Atmosphere Characteristics

As discussed in Section 4.1, if the results of this study are in line with trends from literature reviews and other studies, the most common architectural characteristics should be attributes of biophilic design. Those characteristics include spaces that are open to and connected to nature, objects that are word reminders of nature, sign reminders of nature, and images of nature, materials that include natural materials, wood, clay, stone, concrete, or highly tactile surfaces, color that are hue or rays, light like natural light, daylight on the wall, light from outside, white light, spotlight, light line, gradation of light to shadow, and hard light with shadow, natural views, plants, trees, river views, rainwater, and immersive water [18,81,82,83].
Subsequently, to consider the characteristics of the architectural atmosphere depicted in the picture by component, the results are different from the conceptual design topics and are also different in each component. In terms of space, the calm atmosphere derived from Buddhist concepts was found the most. Two of the less common architectural features are the exposure to nature and the connection with nature in the biophilic design concept. This suggests that Buddhist concepts and biophilic design also seem to have potential as architectural spaces.
When considering the objects that appear within the picture, it is found that the objects that are in focus according to the Buddhist concept appear the most. The second most common objects are objects that can be viewed differently from different angles. Natural images, which are subjects of biophilic design and Buddhist concepts, are found in up to one-third of the images.
For materials that come from just a biophilic design concept, it is difficult to compare in this respect. Materials from other concepts suitable for constituents of the architectural atmosphere to promote mindfulness may therefore be explored by future research.
In terms of colors, hue colors from the concept of biophilic design appear the most. This is followed by a time-changing color from Japanese concepts. The third appears in cool tones from Buddhist concepts. These three traits come from different concepts and are found in almost half and more than half of the images. It is therefore difficult to say which concept has a greater effect on mindfulness.
Images with heavy light and shadow from the Japanese concept and biophilic design were most identified, while natural light on the wall and white light from the biophilic design concept appeared equally as frequently. Therefore, in terms of light, it seems that biophilic design tends to have a greater or equal influence on mindfulness than Japanese concepts.
Finally, the scenery seen most in the selected images was a tree view from the biophilic design concept, followed by a natural view, which is in line with biophilic as well as Buddhist concepts. Next was unobstructed scenery, according to Buddhist concepts. Thus, in terms of view, the ideas of biophilic and Buddhist design seem to have more potential.

5. Conclusions

This study sought to support the achievement of sustainability in architecture through the promotion of sustainable behavior by influencing mindfulness through architecture. Although literature reviews show a positive trend of biophilic design concepts toward mindfulness, analyses of mindfulness-tagged architectural images on Instagram are inconsistent. The architectural atmosphere in pictures largely corresponds to the traditional Japanese architectural design concept. When considering each component of the architectural atmosphere, instead, it shows the potential of each concept differing in each component. Therefore, we consider that the study gaps mentioned above and the findings of this study should be further explored in terms of design concepts and the characteristics of architectural atmosphere. Future research should focus on empirical investigations to explore the characteristics of architectural atmospheric components that enhance mindfulness, utilizing alternative methodologies and diverse data sources, resulting in more globally applicable findings. Other elements of the architecture not mentioned here may also be worth exploring in future research.

Author Contributions

Conceptualization, C.T. and S.B.; data curation, formal analysis, investigation, and methodology, C.T.; supervision and validation, S.B. and C.M.; visualization, P.P.; writing, C.T. and P.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by King Mongkut’s Institute of Technology Ladkrabang.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study including the link of images and the final dataset are available on request from the corresponding author.

Acknowledgments

We would like to acknowledge our coders: Channavut Thongpunsri, Nutnaree Watcharasawat, and Penjun Chumanee.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. United Nations Environment Programme. Assessing the Environmental Impacts of Consumption and Production: Priority Products and Materials. A Report of the Working Group on the Environmental Impacts of Products and Materials to the International Panel for Sustainable Resource Management; United Nations Environment Programme (UNEP): Nairobi, Kenya, 2010. [Google Scholar]
  2. UNEP. Global Material Flows and Resource Productivity. A Report of the Working Group on Decoupling of the International Resource Panel; United Nations Environment Programme: Nairobi, Kenya, 2016. [Google Scholar]
  3. Wood, R.; Stadler, K.; Simas, M.; Bulavskaya, T.; Giljum, S.; Lutter, S.; Tukker, A. Growth in Environmental Footprints and Environmental Impacts Embodied in Trade: Resource Efficiency Indicators from EXIOBASE3. J. Ind. Ecol. 2018, 22, 553–564. [Google Scholar] [CrossRef] [Green Version]
  4. WWF. Living Planet: Report 2016: Risk and Resilience in a New Era; World Wide Fund For Nature: Gland, Switzerland, 2016. [Google Scholar]
  5. Dhandra, T.K. Achieving Triple Dividend through Mindfulness: More Sustainable Consumption, Less Unsustainable Consumption and More Life Satisfaction. Ecol. Econ. 2019, 161, 83–90. [Google Scholar] [CrossRef]
  6. Allen, M.; Antwi-Agyei, P.; Aragon-Durand, F.; Babiker, M.; Bertoldi, P.; Bind, M.; Brown, S.; Buckeridge, M.; Camilloni, I.; Cartwright, A.; et al. Technical Summary: Global Warming of 1.5 °C. An IPCC Special Report on the Impacts of Global Warming of 1.5 °C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty. Available online: http://pure.iiasa.ac.at/15716 (accessed on 1 May 2023).
  7. Antunes, L.N.; Ghisi, E. Water and Energy Consumption in Schools: Case Studies in Brazil. Environ. Dev. Sustain. 2019, 22, 4225–4249. [Google Scholar] [CrossRef]
  8. Helm, S.; Subramaniam, B. Exploring Socio-Cognitive Mindfulness in the Context of Sustainable Consumption. Sustainability 2019, 11, 3692. [Google Scholar] [CrossRef] [Green Version]
  9. Bamberg, S.; Möser, G. Twenty Years after Hines, Hungerford, and Tomera: A New Meta-Analysis of Psycho-Social Determinants of Pro-Environmental Behaviour. J. Environ. Psychol. 2007, 27, 14–25. [Google Scholar] [CrossRef]
  10. Tezel, E.; Giritli, H. Understanding Sustainability through Mindfulness: A Systematic Review. In Proceedings of the of 3rd International Sustainable Buildings Symposium (ISBS 2017), Dubai, United Arab Emirates, 15–17 March 2017; pp. 321–327. [Google Scholar] [CrossRef]
  11. Fischer, D.; Stanszus, L.; Geiger, S.; Grossman, P.; Schrader, U. Mindfulness and Sustainable Consumption: A Systematic Literature Review of Research Approaches and Findings. J. Clean. Prod. 2017, 162, 544–558. [Google Scholar] [CrossRef]
  12. Amel, E.L.; Manning, C.M.; Scott, B.A. Mindfulness and Sustainable Behavior: Pondering Attention and Awareness as Means for Increasing Green Behavior. Ecopsychology 2009, 1, 14. [Google Scholar] [CrossRef]
  13. Jacob, J.; Jovic, E.; Brinkerhoff, M.B. Personal and Planetary Well-Being: Mindfulness Meditation, Pro-Environmental Behavior and Personal Quality of Life in a Survey from the Social Justice and Ecological Sustainability Movement. Soc. Indic. Res. 2008, 93, 275–294. [Google Scholar] [CrossRef]
  14. Loy, L.S.; Reese, G. Hype and Hope? Mind-Body Practice Predicts Pro-Environmental Engagement through Global Identity. J. Environ. Psychol. 2019, 66, 101340. [Google Scholar] [CrossRef]
  15. Panno, A.; Giacomantonio, M.; Carrus, G.; Maricchiolo, F.; Pirchio, S.; Mannetti, L. Mindfulness, Pro-Environmental Behavior, and Belief in Climate Change: The Mediating Role of Social Dominance. Environ. Behav. 2017, 50, 864–888. [Google Scholar] [CrossRef]
  16. Geiger, S.M.; Grossman, P.; Schrader, U. Mindfulness and Sustainability: Correlation or Causation? Curr. Opin. Psychol. 2019, 28, 23–27. [Google Scholar] [CrossRef]
  17. Richter, N.; Hunecke, M. Mindfulness, Connectedness to Nature, Personal Ecological Norm and Pro-Environmental Behavior: A Daily Diary Study. Curr. Res. Ecol. Soc. Psychol. 2022, 3, 100038. [Google Scholar] [CrossRef]
  18. Thampanichwat, C.; Moorapun, C.; Bunyarittikit, S.; Suphavarophas, P.; Phaibulputhipong, P. A Systematic Literature Review of Architecture Fostering Green Mindfulness. Sustainability 2023, 15, 3823. [Google Scholar] [CrossRef]
  19. Van Dam, N.T.; van Vugt, M.K.; Vago, D.R.; Schmalzl, L.; Saron, C.D.; Olendzki, A.; Meissner, T.; Lazar, S.W.; Kerr, C.E.; Gorchov, J.; et al. Mind the Hype: A Critical Evaluation and Prescriptive Agenda for Research on Mindfulness and Meditation. Perspect. Psychol. Sci. A J. Assoc. Psychol. Sci. 2018, 13, 36–61. [Google Scholar] [CrossRef] [Green Version]
  20. Pagnini, F.; Philips, D. Being Mindful about Mindfulness. Lancet Psychiatry 2015, 2, 288–289. [Google Scholar] [CrossRef]
  21. Brinkerhoff, M.B.; Jacob, J.C. Mindfulness and Quasi-Religious Meaning Systems: An Empirical Exploration within the Context of Ecological Sustainability and Deep Ecology. J. Sci. Study Relig. 1999, 38, 524. [Google Scholar] [CrossRef]
  22. Jacob, J.C.; Brinkerhoff, M.B. Values, Performance and Subjective Well-Being in the Sustainability Movement: An Elaboration of Multiple Discrepancies Theory. Soc. Indic. Res. 1997, 42, 171–204. [Google Scholar] [CrossRef]
  23. Barbaro, N.; Pickett, S.M. Mindfully Green: Examining the Effect of Connectedness to Nature on the Relationship between Mindfulness and Engagement in Pro-Environmental Behavior. Personal. Individ. Differ. 2016, 93, 137–142. [Google Scholar] [CrossRef]
  24. Barber, N.A.; Deale, C. Tapping Mindfulness to Shape Hotel Guests’ Sustainable Behavior. Cornell Hosp. Q. 2013, 55, 100–114. [Google Scholar] [CrossRef]
  25. Bahl, S.; Milne, G.R.; Ross, S.M.; Mick, D.G.; Grier, S.A.; Chugani, S.K.; Chan, S.S.; Gould, S.; Cho, Y.-N.; Dorsey, J.D.; et al. Mindfulness: Its Transformative Potential for Consumer, Societal, and Environmental Well-Being. J. Public Policy Mark. 2016, 35, 198–210. [Google Scholar] [CrossRef] [Green Version]
  26. Kaytaz Yigit, M. Investigating the Relationship between Consumer Mindfulness and Sustainable Consumption Behavior. Int. J. Res. Bus. Soc. Sci. 2020, 9, 37–43. [Google Scholar] [CrossRef]
  27. Joyner Armstrong, C.M. Fashion and the Buddha: What Buddhist Economics and Mindfulness Have to Offer Sustainable Consumption. Cloth. Text. Res. J. 2020, 39, 91–105. [Google Scholar] [CrossRef]
  28. Thiermann, U.B.; Sheate, W.R. The Way Forward in Mindfulness and Sustainability: A Critical Review and Research Agenda. J. Cogn. Enhanc. 2020, 5, 118–139. [Google Scholar] [CrossRef]
  29. Hunecke, M.; Richter, N. Mindfulness, Construction of Meaning, and Sustainable Food Consumption. Mindfulness 2018, 10, 446–458. [Google Scholar] [CrossRef]
  30. Werner, A.; Spiller, A.; Meyerding, S.G.H. The Yoga of Sustainable Diets: Exploring Consumers Mind and Spirit. J. Clean. Prod. 2020, 243, 118473. [Google Scholar] [CrossRef] [Green Version]
  31. Wamsler, C.; Brink, E. Mindsets for Sustainability: Exploring the Link between Mindfulness and Sustainable Climate Adaptation. Ecol. Econ. 2018, 151, 55–61. [Google Scholar] [CrossRef]
  32. Sheth, J.N.; Sethia, N.K.; Srinivas, S. Mindful Consumption: A Customer-Centric Approach to Sustainability. J. Acad. Mark. Sci. 2011, 39, 21–39. [Google Scholar] [CrossRef]
  33. Asthana, A.N. Impact of Mindfulness on Irrigation Water Consumption. Front. Water 2022, 4, 1062835. [Google Scholar] [CrossRef]
  34. Pereira, M.C.; Simões, P.; Cruz, L.; Barata, E.; Coelho, F. Mind (For) the Water: An Indirect Relationship between Mindfulness and Water Conservation Behavior. J. Consum. Behav. 2022, 21, 673–684. [Google Scholar] [CrossRef]
  35. Anālayo, B.; Steffens-Dhaussy, C.; Gallo, F.; Scott, D. Energy Practices and Mindfulness Meditation. Mindfulness 2022, 3, 2705–2713. [Google Scholar] [CrossRef]
  36. Grabow, M.; Bryan, T.; Checovich, M.; Converse, A.; Middlecamp, C.; Mooney, M.; Torres, E.; Younkin, S.; Barrett, B. Mindfulness and Climate Change Action: A Feasibility Study. Sustainability 2018, 10, 1508. [Google Scholar] [CrossRef] [Green Version]
  37. Bamber, M.D.; Kraenzle Schneider, J. Mindfulness-Based Meditation to Decrease Stress and Anxiety in College Students: A Narrative Synthesis of the Research. Educ. Res. Rev. 2016, 18, 1–32. [Google Scholar] [CrossRef]
  38. Kiken, L.G.; Garland, E.L.; Bluth, K.; Palsson, O.S.; Gaylord, S.A. From a State to a Trait: Trajectories of State Mindfulness in Meditation during Intervention Predict Changes in Trait Mindfulness. Personal. Individ. Differ. 2015, 81, 41–46. [Google Scholar] [CrossRef] [Green Version]
  39. Bergen-Cico, D.; Hirshfield, L.; Costa, M.R. Measuring the Neural Correlates of Mindfulness with Functional Near-Infrared Spectroscopy. In Empirical Studies of Contemplative Practices; Nova Science: Hauppauge, NY, USA, 2019; pp. 117–145. [Google Scholar]
  40. Shapiro, S.L.; Carlson, L.E.; Astin, J.A.; Freedman, B. Mechanisms of Mindfulness. J. Clin. Psychol. 2006, 62, 373–386. [Google Scholar] [CrossRef] [Green Version]
  41. Zhao, W.; Kang, J.; Jin, H. Architectural Factors Influenced on Physical Environment in Atrium. In Renewable Energy in the Service of Mankind Vol I: Selected Topics from the World Renewable Energy Congress WREC 2014; Springer International Publishing: Berlin/Heidelberg, Germany, 2015; pp. 391–404. [Google Scholar] [CrossRef]
  42. Hui, C. Applied Research on Environmental Psychology in Architecture Environment Design. Ph.D. Thesis, University of Pécs, Pecs, Hungary, 2022. [Google Scholar]
  43. Architecture (First-Level Discipline). Baidu. Available online: https://baike.baidu.com/item/%E5%BB%BA%E7%AD%91%E5%AD%%20A6/228287 (accessed on 20 January 2022).
  44. Environmental Design in Architecture. Baidu. Available online: https://baike.baidu.com/item/%E5%BB%BA%E7%AD%91%E7%8E%%20AF%E5%A2%83%E8%AE%BE%E (accessed on 20 January 2022).
  45. Ricci, N. The Psychological Impact of Architectural Design. Bachelor’s Thesis, Claremont McKenna College, Claremont, CA, USA, 2018. [Google Scholar]
  46. Ruggles, D.H. Beauty, Neuroscience & Architecture: Timeless Patterns and Their Impact on Our Well-Being; Fibonacci LLC: Murray, KY, USA, 2017. [Google Scholar]
  47. Kumar, J. The Architectural Spaces and Their Psychological Impacts. In Proceedings of the National Conference on Cognitive Research on Human Perception of Built Environment for Health and Wellbeing, Vishakhapatnam, India, 9–10 February 2012. [Google Scholar]
  48. Gernot, B. Atmosphere as Mindful Physical Presence in Space. Atmos. Mindful Phys. Presence Space 2013, 91, 21–32. [Google Scholar]
  49. Inthuyos, P.; Karnsomkrait, L. Enhancing Ambience Product Derived from Clam State of Mind. J. Fine Appl. Arts Khon Kaen Univ. 2018, 10, 226–247. [Google Scholar]
  50. Porter, N.; Johanna, B.; Martin, T. Mindfulness and Design: Creating Spaces for Well Being; Universidad de Sevilla: Sevilla, Spain, 2017; pp. 199–209. [Google Scholar]
  51. Stephansen, H.C.; Couldry, N. Understanding Micro-Processes of Community Building and Mutual Learning on Twitter: A “Small Data” Approach. Inf. Commun. Soc. 2014, 17, 1212–1227. [Google Scholar] [CrossRef] [Green Version]
  52. Kushner, M. A New Golden Age of Architecture. Medium. Available online: https://medium.com/@marchitizer/a-new-golden-age-of-architecture-825fb7ed652c (accessed on 13 April 2023).
  53. Yenimazman, D. Convergence Culture: Where Old and New Media Collide. Inf. Commun. Soc. 2008, 11, 1034–1035. [Google Scholar] [CrossRef]
  54. Shelton, T.; Poorthuis, A.; Zook, M. Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information. Landsc. Urban Plan. 2015, 142, 198–211. [Google Scholar] [CrossRef]
  55. Pauleen, D.; Wang, W. Does Big Data Mean Big Knowledge? KM Perspectives on Big Data and Analytics. J. Knowl. Manag. 2017, 21, 1–6. [Google Scholar] [CrossRef]
  56. Eirinaki, M.; Gao, J.; Varlamis, I.; Tserpes, K. Recommender Systems for Large-Scale Social Networks: A Review of Challenges and Solutions. Future Gener. Comput. Syst. 2018, 78, 413–418. [Google Scholar] [CrossRef]
  57. Aprilian, R.D. The Story of Adaptive Reuse in Jakarta’s Old Building under the “Instagrammable” Era. In Advances in Social Science, Education and Humanities Research; Widiastuti, I., Ed.; Atlantis Press: Amsterdam, The Netherlands, 2021. [Google Scholar]
  58. Kosasih, I.B.; Sangaras, M.A.G. Social Media Affect on Contemporary Design for Architect and Client via Instagram Sites. Int. J. Res. Appl. Technol. 2022, 2, 178–187. [Google Scholar] [CrossRef]
  59. Hausmann, A.; Toivonen, T.; Slotow, R.; Tenkanen, H.; Moilanen, A.; Heikinheimo, V.; Di Minin, E. Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature-Based Experiences in Protected Areas. Conserv. Lett. 2017, 11, e12343. [Google Scholar] [CrossRef] [Green Version]
  60. Song, Y.; Zhang, B. Using Social Media Data in Understanding Site-Scale Landscape Architecture Design: Taking Seattle Freeway Park as an Example. Landsc. Res. 2020, 45, 627–648. [Google Scholar] [CrossRef]
  61. Dorsch, I. Content Description on a Mobile Image Sharing Service: Hashtags on Instagram. J. Inf. Sci. Theory Pract. 2018, 6, 46–61. [Google Scholar] [CrossRef]
  62. Rahman, Z.; Suberamanian, K.; Zanuddin, H. Social Media Content Analysis “Study on Brand Posts of Electronics Companies. J. Eng. Appl. Sci. 2017, 12, 87–94. [Google Scholar]
  63. Lai, L.S.L.; To, W.M. Content Analysis of Social Media: A Grounded Theory Approach. J. Electron. Commer. Res. 2015, 16, 138–152. [Google Scholar]
  64. Black, D.S. A Brief Definition of Mindfulness. Behav. Neurosci. 2009, 7, 109. [Google Scholar]
  65. Barbiero, G. Affective Ecology as Development of Biophilia Hypothesis. Vis. Sustain. 2021, 16, 21–37. [Google Scholar] [CrossRef]
  66. Jon Kabat-Zinn Professional Background—Mindfulness Meditation. Available online: https://jonkabat-zinn.com/about/jon-kabat-zinn/ (accessed on 14 April 2023).
  67. Kwee, M. Wherever You Go, There You Are: Mindfulness Meditation in Everyday Life. Behav. Res. Ther. 1995, 33, 996. [Google Scholar] [CrossRef]
  68. Kabat-Zinn, J. Mindfulness-Based Interventions in Context: Past, Present, and Future. Clin. Psychol. Sci. Pract. 2003, 10, 144–156. [Google Scholar] [CrossRef]
  69. Langer, E.J. Matters of Mind: Mindfulness/Mindlessness in Perspective. Conscious. Cogn. Int. J. 1992, 1, 289–305. [Google Scholar] [CrossRef]
  70. Brown, K.W.; Ryan, R.M. The Benefits of Being Present: Mindfulness and Its Role in Psychological Well-Being. J. Personal. Soc. Psychol. 2003, 84, 822–848. [Google Scholar] [CrossRef] [Green Version]
  71. Bishop, S.R.; Lau, M.; Shapiro, S.; Carlson, L.; Anderson, N.D.; Carmody, J.; Segal, Z.V.; Abbey, S.; Speca, M.; Velting, D.; et al. Mindfulness: A proposed operational definition. Clin. Psychol. Sci. Pract. 2004, 11, 230–241. [Google Scholar] [CrossRef]
  72. Lau, M.A.; Bishop, S.R.; Segal, Z.V.; Buis, T.; Anderson, N.D.; Carlson, L.; Shapiro, S.; Carmody, J.; Abbey, S.; Devins, G. The Toronto Mindfulness Scale: Development and Validation. J. Clin. Psychol. 2006, 62, 1445–1467. [Google Scholar] [CrossRef]
  73. Jha, A.P.; Krompinger, J.; Baime, M.J. Mindfulness Training Modifies Subsystems of Attention. Cogn. Affect. Behav. Neurosci. 2007, 7, 109–119. [Google Scholar] [CrossRef]
  74. Roberts, B.W.; Kuncel, N.R.; Shiner, R.; Caspi, A.; Goldberg, L.R. The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life Outcomes. Perspect. Psychol. Sci. 2007, 2, 313–345. [Google Scholar] [CrossRef] [Green Version]
  75. Siegel, D.J. Mindfulness Training and Neural Integration: Differentiation of Distinct Streams of Awareness and the Cultivation of Well-Being. Soc. Cogn. Affect. Neurosci. 2007, 2, 259–263. [Google Scholar] [CrossRef]
  76. Shapiro, S.L.; Carlson, L.E. The Art and Science of Mindfulness: Integrating Mindfulness Into Psychology and the Helping Professions; American Psychological Association: Washington, DC, USA, 2009. [Google Scholar] [CrossRef]
  77. Giluk, T.L. Mindfulness, Big Five Personality, and Affect: A Meta-Analysis. Personal. Individ. Differ. 2009, 47, 805–811. [Google Scholar] [CrossRef]
  78. Sun, H.; Fang, Y. Toward a Model of Mindfulness in Technology Acceptance. Int. Conf. Interact. Sci. 2010, 121, 2–3. [Google Scholar]
  79. Teerapanyo, S.; Kumpeerayan, S.; Kaewkoo, J.; Sangsai, P. An Analytical on Jetiya in Thailand. JHUSO 2017, 8, 81–96. [Google Scholar]
  80. Kawai, Y. Designing Mindfulness: Spatial Concepts in Traditional Japanese Architecture; Japan Society: New York, NY, USA, 2018. [Google Scholar]
  81. Pagunadhammo, P.; Vichai, V.; Chanreang, T. The Analytical Study of The Buddhist Concept Appeared in The Pagodas in Chiang Sean City. JMND 2019, 6, 2444–2458. [Google Scholar]
  82. Hu, M.; Simon, M.; Fix, S.; Vivino, A.A.; Bernat, E. Exploring a Sustainable Building’s Impact on Occupant Mental Health and Cognitive Function in a Virtual Environment. Sci. Rep. 2021, 11, 5644. [Google Scholar] [CrossRef]
  83. Sadeghi, F. Architecture of Mindfulness: How Architecture Engages the Five Senses. Master’s Thesis, University of Memphis, Memphis, TN, USA, 2021. [Google Scholar]
  84. Chen, A.; Porter, N.; Tang, Y. How Does Buddhist Contemplative Space Facilitate the Practice of Mindfulness? Religions 2022, 13, 437. [Google Scholar] [CrossRef]
  85. Haddock, G.; Foad, C.M.G.; Thorne, S. How Do People Conceptualize Mindfulness? R. Soc. Open Sci. 2022, 9, 211366. [Google Scholar] [CrossRef]
  86. Gandy, M. Urban Atmospheres. Cult. Geogr. 2017, 24, 353–374. [Google Scholar] [CrossRef] [Green Version]
  87. Zumthor, P. Atmospheres; Birkhaüser: Basel, Switzerland, 2006. [Google Scholar]
  88. Griffero, T. Atmospheres. Aesthetics of Emotional Spaces; Ashgate Publishing, Ltd.: Hampshire, UK, 2014. [Google Scholar]
  89. Griffero, T. The Paradigm of Atmospheres; State University of New York Press: Albany, NY, USA, 2014. [Google Scholar]
  90. Gernot Böhme. Atmospheric Architectures; Bloomsbury Publishing: London, UK, 2017. [Google Scholar]
  91. Böhme, G. Atmosphere. In Online Encyclopedia Philosophy of Nature Online Lexikon Naturphilosophie; Universitätsbibliothek: Heidelberg, Germany, 2021. [Google Scholar] [CrossRef]
  92. Tanizaki, J.I. Praise of Shadows; Leetes Island Books: Sedgwick, China, 1977. [Google Scholar]
  93. Baudrillard, J. The System of Objects; VERSO: London, UK, 1996. [Google Scholar]
  94. Kim, J. Iconic Architecture through the Lens of Instagram: The Case Studies of the Guggenheim Museum, Bilbao and the Dongdaemun Design Plaza, Seoul. Ph.D. Thesis, University of Exeter, Exeter, UK, 2019. [Google Scholar]
  95. Han, Y.; Lee, H. Lifestyle Experiences: Exploring Key Attributes of Lifestyle Hotels Using Instagram User-Created Contents in South Korea. Sustainability 2021, 13, 2591. [Google Scholar] [CrossRef]
  96. Complete Guide to Instagram Content Types | Learn at Microsoft Create. Available online: https://create.microsoft.com/en-us/learn/articles/complete-guide-instagram-content-types#:~:text=And%20there%20you%20have%20it (accessed on 1 June 2023).
  97. Hu, Y.; Manikonda, L.; Kambhampati, S. What We Instagram: A First Analysis of Instagram Photo Content and User Types. Proc. Int. AAAI Conf. Web Soc. Media 2014, 8, 595–598. [Google Scholar] [CrossRef]
  98. Pilař, L.; Balcarová, T.; Rojík, S.; Tichá, I.; Poláková, J. Customer Experience with Farmers’ Markets: What Hashtags Can Reveal. Int. Food Agribus. Manag. Rev. 2018, 21, 755–770. [Google Scholar] [CrossRef]
  99. Pilař, L.; Pitrová, J.; Gresham, G.; Rojík, S. Why People Use Hashtags When Visiting Farmers’ Markets. In Proceedings of the Agrarian Perspectives XXVI: Compettitiveness of European Agriculture and Food Sectors: 26th International Scientific Conference on Agrarian Perspectives, Prague, Czech Republic, 13–15 September 2017. [Google Scholar]
  100. Upadhyay, N.; Upadhyay, S. #RighttoBreathe Why Not? Social Media Analysis of the Local in the Capital City of India. Procedia Comput. Sci. 2017, 108, 2542–2546. [Google Scholar] [CrossRef]
  101. Dwyer, N.; Marsh, S. What Can the Hashtag #Trust Tell Us about How Users Conceptualise Trust? In Proceedings of the 2014 Twelfth Annual International Conference on Privacy, Security and Trust, Toronto, ON, Canada, 23–24 July 2014. [Google Scholar] [CrossRef]
  102. Stathopoulou, A.; Borel, L.; Christodoulides, G.; West, D. Consumer Branded #Hashtag Engagement: Can Creativity in TV Advertising Influence Hashtag Engagement? Psychol. Mark. 2017, 34, 448–462. [Google Scholar] [CrossRef]
  103. Hawkins, R.; Silver, J.J. From Selfie to #Sealfie: Nature 2.0 and the Digital Cultural Politics of an Internationally Contested Resource. Geoforum 2017, 79, 114–123. [Google Scholar] [CrossRef]
  104. Kamil, R.J.; Betz, J.; Powers, B.B.; Pratt, S.; Kritchevsky, S.; Ayonayon, H.N.; Harris, T.B.; Helzner, E.; Deal, J.A.; Martin, K.; et al. Association of Hearing Impairment with Incident Frailty and Falls in Older Adults. J. Aging Health 2015, 28, 644–660. [Google Scholar] [CrossRef] [Green Version]
  105. Stefanone, M.A.; Lackaff, D.; Rosen, D. Contingencies of Self-Worth and Social-Networking-Site Behavior. Cyberpsychol. Behav. Soc. Netw. 2011, 14, 41–49. [Google Scholar] [CrossRef] [Green Version]
  106. Swab, M.; Romme, K. Scholarly Sharing via Twitter: #Icanhazpdf Requests for Health Sciences Literature. J. Can. Health Libr. Assoc. J. Assoc. Bibliothèques St. Du Can. 2016, 37, 6–11. [Google Scholar] [CrossRef] [Green Version]
  107. Zhang, Y.; Wildemuth, B.M. Qualitative Analysis of Content. Hum. Brain Mapp. 2005, 30, 2197–2206. [Google Scholar] [CrossRef]
  108. Laestadius, L.I.; Wahl, M.M. Mobilizing Social Media Users to Become Advertisers: Corporate Hashtag Campaigns as a Public Health Concern. Digital Health 2017, 3, 1. [Google Scholar] [CrossRef] [Green Version]
  109. Tan, L.; Ng, S.H.; Omar, A.; Karupaiah, T. What’s on YouTube? A Case Study on Food and Beverage Advertising in Videos Targeted at Children on Social Media. Child. Obes. 2018, 14, 280–290. [Google Scholar] [CrossRef] [Green Version]
  110. Ahrens, J.; Brennan, F.; Eaglesham, S.; Buelo, A.; Laird, Y.; Manner, J.; Newman, E.; Sharpe, H. A Longitudinal and Comparative Content Analysis of Instagram Fitness Posts. Int. J. Environ. Res. Public Health 2022, 19, 6845. [Google Scholar] [CrossRef]
  111. Lim, Y.; Lee, J.Y. A Comparative Analysis of E-Cigarette and Cigarette Posts on Instagram. Int. J. Environ. Res. Public Health 2023, 20, 3116. [Google Scholar] [CrossRef]
  112. Hoare, J.K.; Lister, N.B.; Garnett, S.P.; Baur, L.A.; Jebeile, H. Mindful and Intuitive Eating Imagery on Instagram: A Content Analysis. Nutrients 2022, 14, 3834. [Google Scholar] [CrossRef]
  113. Use and Interpret KR-20 in SPSS. Accredited Professional Statistician For Hire. Available online: https://www.scalestatistics.com/kr-20.html (accessed on 2 May 2023).
  114. Miller, M.D.; Linn, R.L.; Gronlund, N.E. Measurement and Assessment in Teaching. Davis, K.M., Ed.; Pearson Education India: Delhi, India, 2009. [Google Scholar]
  115. Sutrisno, H. An Analysis of the Mathematics School Examination Test Quality. J. Ris. Pendidik. Mat. 2016, 3, 162. [Google Scholar] [CrossRef] [Green Version]
  116. Triangulation in Research|Guide, Types, Examples. Available online: https://www.scribbr.com/methodology/triangulation (accessed on 1 May 2023).
  117. Sasyniuk, T.M.; Mohtadi, N.G.H.; Hollinshead, R.M.; Russell, M.L.; Fick, G.H. The Inter-Rater Reliability of Shoulder Arthroscopy. Arthrosc. J. Arthrosc. Relat. Surg. 2007, 23, 971–977. [Google Scholar] [CrossRef]
  118. Africa, J.; Heerwagen, J.; Loftness, V.; Ryan Balagtas, C. Biophilic Design and Climate Change: Performance Parameters for Health. Front. Built Environ. 2019, 5, 28. [Google Scholar] [CrossRef] [Green Version]
  119. Huntsman, D.D.; Bulaj, G. Healthy Dwelling: Design of Biophilic Interior Environments Fostering Self-Care Practices for People Living with Migraines, Chronic Pain, and Depression. Int. J. Environ. Res. Public Health 2022, 19, 2248. [Google Scholar] [CrossRef]
  120. Mindfulness—Journal of Biophilic Design. Available online: https://journalofbiophilicdesign.com/podcast-journal-of-biophilic-design/category/Mindfulness (accessed on 1 June 2023).
  121. How Biophilic Design Promotes a Mindful Office. Coalesse. Available online: https://www.coalesse.com/blog/how-biophilic-design-promotes-a-mindful-office/ (accessed on 1 June 2023).
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Figure 1. The architectural atmosphere influencing mindfulness.
Figure 1. The architectural atmosphere influencing mindfulness.
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Figure 2. The data analysis process.
Figure 2. The data analysis process.
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Figure 3. The final dataset’s cultural background.
Figure 3. The final dataset’s cultural background.
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Figure 4. The result of architectural atmosphere characteristics.
Figure 4. The result of architectural atmosphere characteristics.
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Table
Table 1. The example of mindfulness-related hashtag (#) in each category.
Table 1. The example of mindfulness-related hashtag (#) in each category.
CategoriesExample
Experience#mindfulness #love #selflove #inspiration #motivation #peace #wellness #selfcare #happiness #healing #positivevibes #gratitude
Activity#meditation #yoga #travel #fitness #namaste
Object/Scene#nature #art #quotes #lawofattraction #London #Life #lifestyle
Table
Table 2. Codebook.
Table 2. Codebook.
Mindful Architectural Atmosphere
ComponentConceptsCharacteristicAgreement
SpaceTraditional JapaneseAdjustable Form/Space68.36%
Biophilic DesignExposure to nature66.95%
Connection to nature73.45%
Buddhist Contemplative SpaceCalm Atmosphere74.01%
Welcoming Atmosphere69.77%
ObjectTraditional JapaneseDifferent from other side69.49%
Biophilic DesignWord reminders of nature85.03%
Sign reminders of nature92.94%
Images of nature83.05%
Buddhist Contemplative Space
Painting of nature96.61%
Focus object70.34%
MaterialBiophilic DesignNatural material61.86%
Wood71.19%
Clay91.81%
Stone75.42%
Concrete77.12%
Highly tactile material83.90%
ColorTraditional JapaneseChanging by time66.67%
Biophilic DesignHue color55.08%
Color rays76.55%
Buddhist Contemplative SpaceColorful in traditional Tibetan style74.86%
Simplicity in Zen style72.32%
Cool space to meditate71.75%
LightTraditional JapaneseCannot see well72.88%
Hard Light and shadow73.16%
Biophilic DesignDarkness to light72.60%
Light ray/line74.01%
Spotlight66.67%
White Light63.28%
Light from outside75.14%
Daylight on wall65.25%
Natural light77.40%
Buddhist Contemplative Space
ViewTraditional JapaneseOutdoor–indoor connection74.29%
Colored leaves89.55%
Changing by season72.32%
Biophilic DesignImmersive water90.40%
Rainwater98.87%
River view88.42%
Tree77.40%
Plant68.64%
Natural view79.66%
Buddhist Contemplative Space
Greenery83.62%
Garden84.75%
Forest/Wild/Woodland75.71%
Unblock view67.80%
Animal99.72%
Table
Table 3. The architectural atmosphere design concept.
Table 3. The architectural atmosphere design concept.
Architectural Atmosphere Design Conceptn%
Traditional Japanese Architecture16646.89
Biophilic Design11733.05
Buddhist Contemplative Space7120.06
Table
Table 4. The result of space characteristics.
Table 4. The result of space characteristics.
ConceptsCharacteristicsn%
Traditional JapaneseAdjustable Space18950.94
Biophilic DesignExposure to Nature25669.00
Connection to Nature22660.92
Buddhist Contemplative SpaceCalm Atmosphere27373.58
Welcoming Atmosphere17547.17
Table
Table 5. The result of object characteristics.
Table 5. The result of object characteristics.
ConceptsCharacteristicsn%
Traditional JapaneseDifferent from Other Side16243.67
Biophilic DesignWord Reminders of Nature7119.14
Sign Reminders of Nature287.55
Images of Nature12834.50
Buddhist Contemplative Space
Painting of Nature123.23
Focus Object20254.45
Table
Table 6. The result of material characteristics.
Table 6. The result of material characteristics.
ConceptsCharacteristicsn%
Biophilic DesignNatural Material24064.69
Wood22861.46
Clay4712.67
Stone17045.82
Concrete31885.71
Highly Tactile Material8723.45
Table
Table 7. The result of color characteristics.
Table 7. The result of color characteristics.
ConceptsCharacteristicsn%
Traditional JapaneseChanging by Time20354.72
Biophilic DesignHue Color29078.17
Color Ray11932.08
Buddhist Contemplative SpaceColorful in Traditional Tibetan Style11330.46
Simplicity in Zen Style16444.20
Cool Space to Meditate18249.06
Table
Table 8. The result of light characteristics.
Table 8. The result of light characteristics.
ConceptsCharacteristicsn%
Traditional JapaneseCannot See Well14338.54
Hard Light and Shadow29378.98
Biophilic Design
Darkness to Light14138.01
Light Ray13035.04
Spotlight17346.63
White Light25669.00
Light from Outside17747.71
Daylight on Wall26270.62
Natural Light28977.90
Buddhist Contemplative Space
Table
Table 9. The result of view characteristics.
Table 9. The result of view characteristics.
ConceptsCharacteristicsn%
Traditional JapaneseOutdoor–Indoor Connection17346.63
Colored Leaves5414.56
Changing by Season16845.28
Biophilic DesignImmersive Water5414.56
Rainwater41.08
River View7319.68
Tree22360.11
Plant17547.17
Natural View21758.49
Buddhist Contemplative Space
Greenery9325.07
Garden8322.37
Forest/Wild/Woodland11029.65
Unblock view17446.90
Animal20.54
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Thampanichwat, C.; Bunyarittikit, S.; Moorapun, C.; Phaibulputhipong, P. A Content Analysis of Architectural Atmosphere Influencing Mindfulness through the Lens of Instagram. Sustainability 2023, 15, 10063. https://doi.org/10.3390/su151310063

AMA Style

Thampanichwat C, Bunyarittikit S, Moorapun C, Phaibulputhipong P. A Content Analysis of Architectural Atmosphere Influencing Mindfulness through the Lens of Instagram. Sustainability. 2023; 15(13):10063. https://doi.org/10.3390/su151310063

Chicago/Turabian Style

Thampanichwat, Chaniporn, Suphat Bunyarittikit, Chumporn Moorapun, and Prima Phaibulputhipong. 2023. "A Content Analysis of Architectural Atmosphere Influencing Mindfulness through the Lens of Instagram" Sustainability 15, no. 13: 10063. https://doi.org/10.3390/su151310063

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