An Analysis of Aesthetic Evaluation on Interior Design Works
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1 An Analysis of Aesthetic Evaluation on Interior Design Works Hsiu-Tyan Chuang *, Shih-Yung Liu **, Yi-Ching Liu *** * [email protected] **[email protected] ***[email protected] Abstract: Beautiful objects and things are welcome by everyone. How can interior design works be attractive and preferred? This is one of the most important issues of the field. What aesthetic attributes or features of an interior design work should possess to arouse aesthetic response? This key issue has not yet been deeply and systematically studied. Multidimensional scaling is one of the common research approaches usually applied in other fields. This approach can find out the most ideal composition of elements by analyzing the relational position of each element in the stimuli space. The approach itself is very suitable to explore the aesthetic evaluation related issues, but the literatures are quite few. By using color photos of designed interiors as measuring instrument, this study conducting an investigation to the domestic college students including interior design majors and other majors, collecting data of aesthetic evaluation of these subjects to the color photos, then explore the aesthetic evaluation by applying multidimensional scaling and information entropy analysis. The analyzed results show two main findings: 1. there is only some minor difference between interior design majors and other majors in their aesthetic response; they all share the highest appreciation for the same factor. 2. Interior design works which contain nostalgic elements in visual feature, and can arouse moderately unadorned or classical grandeur mental images are most preferred. These findings can be useful in interior design practice as design reference or even guide-lines in some cases. Keywords: aesthetic evaluation, multidimensional scaling, interior design 1
2 1. Preface Beautiful objects and things are appealing; pleasant scenery inspires the joy of good sensation. One of the most fundamental purposes of interior design is to create a pleasing man-made environment; therefore, how to give a pleasant impression is essential to interior designers. On this aspect, visual components that compose the "aesthetic" features of interior design work are important. However, what aesthetic attributes or features of an interior design work should possess to arouse aesthetic response? What visual components compose these aesthetic features? How to decide the composition of all visual components in the design process to reach the best effect? All of these are important key issues, and they have not yet been deeply and systematically studied in the field. As for aesthetics research, discourses and arguments vary considerately due to different researches orientation. Researches of environmental aesthetics are mainly innate empirical aesthetics; formal aesthetics research is one of them. Also known as structural aesthetics, formal aesthetics research targets at physical features of the environment, explores relationship between aesthetic experiences and form or structure of objects. Descriptive questionnaires are its major tool to collect data with correlational analysis which is commonly seen in sociology on aesthetic factor and aesthetic response. Using pictures as its tool, this study attempts to explore empirical aesthetics research with information entropy and multidimensional scaling. Specifically, the purposes of this study include: 1. Applying information entropy to analyze aesthetic evaluation to understand the ideal order of aesthetic compositional elements. 2. Applying multidimensional scaling to analyze aesthetic evaluation to know the best composition of aesthetic compositional elements. 2. Literature reviews The key issues in this study mainly are aesthetic perception and multidimensional scaling. 2.1 Aesthetic perception 2
3 Aesthetic perception is generally human perception of beautiful things, the ability within every one. Kant s Critique of Aesthetic Judgment explained that it contains three elements: 1. The feeling of pleasure or pain: sensation is an instinct aesthetic, not entirely equals to aesthetic, but a necessity to foster aesthetics. 2. Free fusion of understanding and imagination: concept understands during aesthetic process helps imagination wander around freely, understanding ability is not an instinct, which develops after sensation that increases with human growth. 3. Universal rules: individual s perception of aesthetics is affected by one s own comprehension and imagination. However, when everyone feels identically or has the same perception of the same things, the common perception will be the universal rules. As for empirical aesthetics research to environment, the fine physical, mental and behavior responses caused by hidden aesthetic factors in environment or object is the so-called aesthetic response, which is one of the responses interacts with all sort of environmental cues. Environment provides all kinds of cues; people react on these cues physically, mentally or behaviorally that bring back the good feelings is called aesthetic response or preference. Formal aesthetics research aims for specific physical feature of environment, in other words, it focuses entirely on form or structure of objects to explore relation between aesthetic experience and form or structure. Aesthetic evaluation means measurement of human perception of beauty. Current aesthetic evaluation of environment uses photos or pictures as its research instrument to assess and analyze respondents preferences towards physical feature of certain environment. That is to say, aesthetic evaluation is based on how eye-catching the physical feature of certain environment can be. 2.2 multidimensional scaling Multidimensional scaling (MDS) is a set of effective scientific method of condensed data, mainly used to extract hidden structure from perceivers perception of stimulus and draw out message from the so-called stimulus space onto a map. (Yang, 1996) The ultimate goal is to set up a stimulus space with minimum dimension to reflect the observed fundamental relation between stimuli. Basically, there are two procedures in conducting MDS analysis: transforming input data into vector and developing stimulus form based on transformed vector. (Wen, 1993) Specifically speaking, MDS tries to find out configuration of perception hidden inside respondents 3
4 minds based on their judgments of similarities or dissimilarities of stimuli then present the hidden fundamental structure in space. Test objects determined to be similar are shown as close dots in the diagram; while dissimilar objects are shown in distant dots in the diagram. MDS and the conventional Factor Analysis (FA) both have its ultimate goal of simplifying scattered and hidden data into systematic and clear information. Still, basic differences remain. MDS is more suitable for some not yet fully discovered research topics than FA. An ideal multidimensional experiment requires collection of four data: 1. Similarities judgment of all paired stimuli. 2. Stimuli s rating based on descriptors, such as adjective. 3. Related objective quantities of stimuli perceptional attributes. 4. Respondents bio data. (Yang, 1996:21) In order to gather these data as basis of multidimensional analysis, the following three steps are required: similarities judgment, preferences and adaptive analysis and ideal-point analysis. 3. Research method This study aims mainly to explore multidimensional scaling analysis on aesthetic evaluation. To minimize possible influence from certain individual variables, (eg. age, education, job, etc.) respondents in this research are limited to college students with high similarities. In addition, current literatures have indicated obvious differences of aesthetics evaluation and preferences between professional designers (such as architects) and ordinary people. (Devlin & Nasar, 1989; Duffy, 1986; Gifford, et al., 2000; Groat, 1982; Nasar, 1989, 1997; Nasar & Kang, 1989) To a better understand the possible differences caused by professional education, this study divided respondents into interior design majors and other majors, gather research data via self-developed questionnaires, and then precede multidimensional scaling and information entropy analyses. Research instrument applied in this study is a set of color photography of real interior design cases selected by experts. Aesthetics merely means respondents visual and mental perception from its appearance and form in this research; functional evaluation such as practicability is not included. The Likert scaling is used to measure aesthetics level, from extremely attractive (5 points) to extremely unattractive (1 point). Higher scores indicate more attractive interior design work shown in photography. 4
5 Research work in this study is divided into two parts. First, outlining the research instrument. Five graduate students with interior design major selected 350 color photos of real interior design work based on six different design styles. 60 pieces with significant feature were screened out by ten experts. A PowerPoint file of these 60 pictures was displayed in class to college students to collect their answers. These answers were analyzed as tool for the second part of the research work. Finally, collected data were analyzed via multidimensional scaling and information entropy techniques. 4. Results and discussions This study proceeded aesthetic evaluation in a PowerPoint file with 60 color pictures of real interior design works to four college interior design major classes willing to participate. 292 valid questionnaires were collected, and then the data were analyzed by Exploratory Factor Analysis. Standard factor loading is set at.5 with principle component analysis to eliminate pictures which factor loading fall below.5. To repeat this analysis for consecutive 4 times, 22 pictures are eliminated with the remaining 38 pictures to run Factor Analysis. KMO=.815 shows its superb suitability, chi-square distribution is (df =703) from Bartlett Sphericity test, P=.000 reach significant level. 10 factors result from analysis of these 38 questions own 62.61% explained variance. (Table 1) Due to the limitation of numbers of test objects and stimuli by multidimensional analysis software PD-MDS, not all 38 questions can be listed as the measure instrument for the next stage. Therefore, picture with the highest factor loading in each factor was chosen to be the representative. Among all these 10 pictures, factor loadings are above.72, except for picture no. 33 in factor 8 which is.652; in other words, each of these 10 pictures can be seen as the representative for each factor. Table 1 Factor analysis of 38 pictures Factor Picture No Factor and Loading
6 Extraction: Principle component analysis. Rotation: Kaiser s varimax rotation criterion. a. Maximum iterations for convergence of 10 Later, 10 experts were invited to give verbal description of these 10 pictures for their visual features and mental images. Followings are the 10 verbal descriptions: 1. Visual feature: (1)mix and match, (2)nature-oriented, (3)simple and order, (4)colorful format, (5)clean and bright, (6)quality and elegance, (7)unique and stylish, (8)nostalgic, (9)attractive hue, and (10)innovative. 2. Mental image: (1)noble and extravagance, (2)modern and classic, (3)exotic and leisure, (4)warm and cozy, (5)fashion and graceful, (6)unadorned and moderate, (7)yuppie 6
7 and concise, (8)newly retro, (9)classical grandeur, and (10)natural leisure. The following stage uses the 10 pictures with its visual feature and mental image descriptions for further analysis. 108 respondents, including 50 interior design major students and 58 students with other majors participated in this study. They were asked to evaluate the 10 pictures with 10 verbal descriptions of visual feature and mental image respectively. Scale from 1 to 10, the more hidden description it contains, the higher number it gets. Results are as followed: 1. According to the result of information entropy analysis, in visual feature (Table 2, 3), the first three factors with high score weight for interior design majors are: (8)nostalgic (weight.2139)>(4)colorful format (.1798) >(2)nature-oriented (.1508); while for other majors are: (8)nostalgic (weight.2490)> (2)nature-oriented (.2129)>(4)colorful format(.1458).in mental image (Table 4, 5), the first three factors with high score weight for interior design majors are: (7)yuppie and concise (weight.1700)> (6)unadorned and moderate(.1564)>(10)natural leisure(.1150); while for other majors are: (7)yuppie and concise (weight.1418)>(9)classical grandeur (.1379)>(6)unadorned and moderate(.1222). It shows that there is only some minor difference between interior design majors and other majors in their aesthetic response. They all share the highest appreciation for the same factor. Table 2 Weighted visual feature index value of interior design majors calculation of weighted value M=10 Index A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 ej 1-ej W Mix and match Nature-oriented Simple and order Colorful format Clean and bright Quality and elegance Unique and stylish Nostalgia Attractive hue Innovative
8 Table 3 Weighted visual feature index value of other majors calculation of weighted value M=10 Index ej 1-ej W Mix and match Nature-oriented Simple and order Colorful format Clean and bright Quality and elegance Unique and stylish Nostalgia Attractive hue Innovative Table 4 Weighted mental image index value of interior design majors calculation of weighted value M=10 Index A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 ej 1-ej W Noble and extravagance Modern and classic Exotic and leisure Warm and cozy Fashion and graceful Unadorned and moderate Yuppie and concise Newly retro Classical grandeur Natural leisure Table 5 Weighted mental image index value of other majors calculation of weighted value M=10 Index ej 1-ej W Noble and extravagance Modern and classic Exotic and leisure Warm and cozy Fashion and graceful Unadorned and moderate Yuppie and concise Newly retro Classical grandeur
9 Natural leisure According to the results of multidimensional scaling analysis, in visual feature, pictures which most match their verbal description in 10 factors are: (1)mix and match: picture 04 (attribute weight.5269), (2)nature-oriented: picture 09 (.5383), (3)simple and order: picture 02 (.3785), (4)colorful format: picture 04 (.5724), (5)clean and bright: picture (.4650), (6)quality and elegance: picture 07 (.4602), (7)unique and stylish: picture 09 (.4633), (8)nostalgia: picture 09 (.5106), (9)attractive hue: picture 04 (.4105) and (10)innovative: picture 04 (.3910). Among all pictures, picture 04 takes the lead in 4 factors. 3. In mental image, pictures which most match their verbal description in 10 factors are: (1)noble and extravagance: picture 07 (attribute weight.3412), (2)modern and classic: picture 05 (.5047), (3)exotic and leisure: picture 03 (.5607), (4)warm and cozy: picture 03 (.5555), (5)fashion and graceful: picture 05 (.5018), (6)unadorned and moderate: picture 03 (.3785), (7)yuppie and concise: picture 05 (.5016), (8)newly retro: picture 09 (.4704), (9)classical grandeur: picture 09 (.5285) and (10)natural leisure: picture 03 (.5598). Among all pictures, picture 03 takes the lead in 4 factors. 4. Judging from similarity perception space, 10 pictures are distributed on all four quadrants (Figure 1) with picture 06, 08 and 09 fall on the lower left quadrant. DIM 2 照 片 05 照 片 02 照 片 07 照 片 01 照 片 04 照 片 10 DIM 1 照 片 03 照 片 08 照 片 09 照 片 06 Figure 1 Distribution of 10 pictures in four quadrants 5. According to PREFMAP analysis, the overall ideal coordinates and the ideal coordinates for both 9
10 interior design majors and other majors all fall on the lower left quadrant (Figure 2), not entirely identical though (Figure in right shows an enlarged more detailed lower left quadrant, GROUP A and GROUP B represent interior design majors and other majors respectively, ALL stands for the overall coordinates.) It indicates that the common characteristics or qualities of picture 06, 08 and 09 are mostly preferred by both interior design majors and other majors. Inspecting these three pictures, we can fine they all contain nostalgic elements in visual feature, and tend to arouse mental images such as moderately unadorned or classical grandeur. DIM 2 照 片 05 照 片 02 照 片 07 照 片 01 照 片 04 GROUPB GROUPA ALL 照 片 10 DIM 1 GROUPA ALL GROUPB 照 片 03 照 片 08 照 片 06 照 片 09 Figure 2-1 PREFMAP analysis This study is focused on the aesthetic evaluation of interior design works. By applying multidimensional scaling and information entropy approaches, this study analyzed data collected from investigation to interior design majors and other majors. Two main findings of this study are: 1. there is only some minor difference between interior design majors and other majors in their aesthetic response; they all share the highest appreciation for the same factor. 2. Interior design works which contain nostalgic elements in visual feature, and can arouse moderately unadorned or classical grandeur mental images are most preferred. These findings can be useful in interior design practice as design reference or even guide-lines in some cases. 10
11 Appendix picture picture picture picture 10 References [1] Devlin, K., & Nasar, J. (1989). The beauty and the best: Some preliminary comparisons of high versus popular residential architecture and public versus architect judgments of same. Journal of Environmental Psychology, 9:
12 [2] Gifford, R., Hine, D. W., Muller-Clemm, W., Reynolds, Jr., D. J., & Shaw, K. T. (2000). Decoding modern architecture: A lens model approach for understanding the aesthetic differences of architects and laypersons. Environment and Behavior, 32 (2): [3] Groat, L. (1982). Meaning in post-modern architecture: An examination using the multiple sorting tasks. Journal of Environmental Psychology, 2:3-22. [4] Lang, J. (1987). Creating Architectural Theory: The Role of the Behavioral Sciences in Environmental Design. New York: Van Nostrand Reinhold. [5] Lin, R., Lin, C. Y., & Wong, J. (1996). An application of multidimensional scaling in product semantics. Industrial Ergonomics, 18: [6] Lin, R., Lin, P. C., & Ko, K. J. (1999). A study of cognitive human factors in mascot design. Industrial Ergonomics, 23: [7] Nasar, J. L. (1989). Symbolic meanings of house styles. Environment and Behavior, 21(3): [8] Nasar, J. L., & Kang, J. (1989). A post-jury evaluation: The Ohio State University design competition for a center for the visual arts. Environment and Behavior, 21(4): [9] Nasar, J. L. (1997). New developments in aesthetics for urban design. In G. T. Moore & R. W. Marans (Eds.), Advances in Environment, Behavior, and Design, Volume 4: Toward the Integration of Theory, Methods, Research, and Utilization. (pp ). New York: Plenum Press. [10] Schiffman, S. S., Reynolds, M. L. & Young, F. W. (1996). Introduction to Multidimensional Scaling: Theory, Methods, and Applications, Bingley: Emerald Group Publishing Limited [11] Wen, F. H. (1993). Software Operation and Interpretation of Multidimensional Scaling. Master s Thesis, Graduate Institute of Statistics, National Central University. 12
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