Preliminary Research into the Sustainable Responsibility of Teaware Design—A Fs/QCA Analysis of the Influence of the Smell and Taste of Tea through Visual and Tactile Perception
Abstract
:1. Introduction
1.1. Background Information
1.2. Motives and Goal
2. Literature Review
3. Methodology
3.1. Research Hypothesis
3.2. Experimental Design
3.2.1. Experimental Materials
3.2.2. Participants
3.2.3. Experimental Products
3.2.4. Questionnaire
3.2.5. Environments
3.2.6. Design and Procedure
3.3. Data Analysis
4. Results and Discussion
4.1. Descriptive Statistical Analysis
4.2. Fs/QCA Data Analysis
4.3. Testing for Predictive Validity
4.4. Hypothesis Result
- For those consumers who have no professional tea evaluation training, the larger the diameter of the cup, the taste and aroma of the tea will be better displayed. Also, the overall performance will be better if the height of the cup is not considered when one is drinking tea. Therefore, Cups A and B, which have only 0.1 cm difference in diameter and width, were the most recognized by general consumers regarding taste and olfactory perception of tea.
- For regular consumers, their preference of teacup will directly affect the perception of all the tastes and fragrances of the tea. That is, the favorite cup shape will have a better tea taste and fragrance performance. Cup shapes that consumers like are affected by the diameter of the cup and the thickness of the cup’s rim. The above data analysis found that the average preference of Cup A (3.471) and Cup B (3.647) was not much different, and Cup A in the tea soup taste and fragrance performance all stand out. Therefore, it is concluded that Cup A, with a large caliber and a thick rim, can adequately express the flavor and aroma of tea.
- Data from the experimental group show that teacup preference is not in the causal combination. Therefore, it is concluded that professionals will not be affected by the taste and fragrance of tea due to teacup preference. However, in combination with factors affecting the taste and fragrance of tea, the diameter of the cup and the thickness of the rim of the cup are still sufficient conditions to affect the tea taste. Therefore, the researchers concluded that regardless of professional level, human vision and touch have a feeling of “sensation transference” to the taste system of taste and smell [35]. Cup D, with a relatively thin rim and smaller caliber, positively affected the tea test in the professional experimental group, but Cup A, with a thicker rim and larger caliber, also positively influenced the professional experimental group.
- The experimental research found that consumers’ vision and touch influence the taste system of taste and smell regardless of the degree of professionalism of tea, but the degree of influence is different. In particular, there are many types of Chinese tea, and the taste and fragrance are significant. Taking oolong tea in this study as an example, judging the quality of this tea is as crucial as judging its fragrance, so Cup A can be regarded as the best reference for the design of teacup shapes.
5. Conclusions
Limitation and Suggestions for Future Research
Author Contributions
Funding
Informed Consent Statement
Conflicts of Interest
References
- Shen, D.M.; Li, J. (Eds.) Grand View Tea Theory; Zhonghua Book Company: Taipei, Taiwan, 2013. [Google Scholar]
- Li, J.H. The China Tea Industry Development Report. World Tea 2019, 11, 43–51. [Google Scholar]
- Kreifeldt, J.; Lin, R.; Chuang, M.C. The importance of “feel” in product design feel, the neglected aesthetic “Do Not Touch”. In Proceedings of the Human-Computer Interaction International Conference, Orlando, FL, USA, 9–14 July 2011. [Google Scholar]
- Bult, J.H.; de Wijk, R.A.; Hummel, T. Investigations on multimodal sensory integration: Texture, taste, and ortho-and retronasal olfactory stimuli in concert. Neurosci. Lett. 2007, 411, 6–10. [Google Scholar] [CrossRef]
- Delwiche, J.F. You eat with your eyes first. Physiol. Behav. 2012, 107, 502–504. [Google Scholar] [CrossRef]
- Mobini, S.; Platts, R.G.; Booth, D.A. Haptic signals of texture while eating a food: Multisensory cognition as interacting discriminations from norm. Appetite 2011, 56, 386–393. [Google Scholar] [CrossRef]
- Piqueras-Fiszman, B.; Harrar, V.; Alcaide, J.; Spence, C. Does the weight of the dish influence our perception of food? Food Qual. Prefer. 2011, 22, 753–756. [Google Scholar] [CrossRef]
- Tu, Y.; Yang, Z.; Ma, C. Touching tastes: The haptic perception transfer of liquid food packaging materials. Food Qual. Prefer. 2015, 39, 124–130. [Google Scholar] [CrossRef]
- Cavazana, A.; Larsson, M.; Hoffmann, E.; Hummel, T.; Haehner, A. The vessel’s shape influences the smell and taste of cola. Food Qual. Prefer. 2017, 59, 8–13. [Google Scholar] [CrossRef]
- Van Rompay, T.J.L.; Kramer, L.M.; Saakes, D. The sweetest punch: Effects of 3D-printed surface textures and graphic design on ice-cream evaluation. Food Qual. Prefer. 2018, 68, 198–204. [Google Scholar] [CrossRef] [Green Version]
- Shepherd, G.M. Smell images and the flavour system in the human brain. Nature 2006, 444, 316–321. [Google Scholar] [CrossRef] [PubMed]
- Piqueras-Fiszman, B.; Spence, C. Crossmodal correspondences in product packaging: Assessing color-flavor correspondences for potato chips (crisps). Appetite 2011, 57, 753–757. [Google Scholar] [CrossRef] [PubMed]
- Spence, C.; Wan, X. Beverage perception and consumption: The influence of the container on the perception of the contents. Food Qual. Prefer. 2015, 39, 131–140. [Google Scholar] [CrossRef]
- Van Doorn, G.H.; Wuillemin, D.; Spence, C. Does the colour of the mug influence the taste of the coffee? Flavour 2014, 3, 10. [Google Scholar] [CrossRef] [Green Version]
- Spence, C.; Van Doorn, G. Does the shape of the drinking receptacle influence taste/flavour perception? A review. Beverages 2017, 3, 33. [Google Scholar] [CrossRef]
- Spence, C.; Wan, X. Assessing the influence of the drinking receptacle on the perception of the contents. In Multisensory Flavor Perception: From Fundamental Neuroscience through to the Marketplace; Piqueras-Fiszman, B., Spence, C., Eds.; Woodhead Publishing: Cambridge, UK, 2016; pp. 269–295. [Google Scholar]
- Huang, L.Y.; Wang, X.Q. (Eds.) Art Culture and Tea Art; Juang Su University Press: Zengjiang, China, 2019. [Google Scholar]
- Chen, Y.S. Study on the Development of Learning Towns of Cultural Industry—Taking Yingge Ceramic Cultural Industry as an Example. Master’s Thesis, Leader College of Management, Tainan, Taiwan, 2005. [Google Scholar]
- Madge, P. Design, Ecology, Technology: A Historiographical Review. J. Des. Hist. 1993, 6, 149–166. [Google Scholar] [CrossRef]
- Woodham, J.M. Twentieth-Century Design; Oxford University Press: Oxford, NY, USA, 1997. [Google Scholar]
- Den, S.H.; Shen, D. Environmental Protection Firewood. Available online: https://www.skiln.com.tw/article/4.htm (accessed on 20 June 2020).
- Zheng, J.Y. Environmental Protection Firewood and Natural Symbiosis—Founder of Modern Environmental Protection Firewood Kiln: Chen Peigen. Available online: https://mangonigiri.pixnet.net/blog/post/157266761 (accessed on 20 June 2020).
- Qian, Y.F. Communication Psychology; Weisman Culture Co., Ltd.: New Taipei, Taiwan, 2007. [Google Scholar]
- Gleitman, H. Psychology; Hong, L., Translator; Yuanliu Publishing House: Taipei, Taiwan, 1995. [Google Scholar]
- Liu, B.K.; Zhuang, C.Q. Food Sensory Evaluation Theory and Practice; Xinwenjing Development Publishing Co., Ltd.: Taipei, Taiwan, 2016. [Google Scholar]
- Zhang, C.X. Zhang’s Dictionary of Psychology; Donghua Book Company: Taipei, Taiwan, 1992. [Google Scholar]
- Spence, C.; Levitan, C.A.; Shankar, M.U.; Zampini, M. Does food colour influence taste and flavor perception in humans? Chemosen. Percep. 2010, 3, 68–84. [Google Scholar] [CrossRef]
- Lockton, D.; Harrison, D.; Stanton, N. Making the user more efficient: Design for sustainable behavior. Int. J. Sustain. Eng. 2008, 1, 3–8. [Google Scholar] [CrossRef] [Green Version]
- Delwiche, J.F.; Pelchat, M.L. Influence of glass shape on the perception of wine aroma. J. Sens. Stud. 2002, 17, 19–28. [Google Scholar] [CrossRef]
- Cliff, M.A. Influence of wine glass shape on perceived aroma and colour intensity in wines. J. Wine Res. 2001, 12, 39–46. [Google Scholar] [CrossRef]
- Russell, K.; Zivanovic, S.; Morris, W.C.; Penfield, M.; Weiss, J. The effect of glass shape on the concentration of polyphenolic compounds and perception of Merlot wine. J. Food Qual. 2005, 28, 377–385. [Google Scholar] [CrossRef]
- Vilanova, M.; Vidal, P.; Cortés, S. Effect of the glass shape on flavor perception of “toasted wine” from Ribeiro (NW Spain). J. Sens. Stud. 2008, 23, 114–124. [Google Scholar] [CrossRef]
- Peng, L.H.; Yang, S.C. Investigation into the relationship between cup shape and tea test. In Proceedings of the 2017 International Conference on Applied System Innovation, Sapporo, Japan, 13–17 May 2017. [Google Scholar]
- Hummel, T.; Delwiche, J.F.; Schmidt, C.; Hüttenbrink, K.B. Effects of the form of glasses on the perception of wine flavors: A study in untrained subjects. Appetite 2003, 41, 197–202. [Google Scholar] [CrossRef]
- Piqueras-Fiszman, B.; Spence, C. The influence of the color of the cup on consumers’ perception of a hot beverage. J. Sens. Stud. 2012, 27, 324–331. [Google Scholar] [CrossRef]
- Mirabito, A.; Oliphant, M.; Van Doorn, G.; Watson, S.; Spence, C. Glass shape affects the perceived taste of beer. Food Qual. Prefer. 2017, 62, 257–261. [Google Scholar] [CrossRef]
- Li, X.; Qi, Y.; Spence, C.; Wan, X. Influence of teaware on subjective ratings of, and taste expectations concerning, tea. Food Qual. Prefer. 2020, 80, 10383. [Google Scholar] [CrossRef]
- Bargh, J.A.; Williams, L.E.; Huang, J.Y.; Song, H.; Ackerman, J.M. From the physical to the psychological: Mundane experiences influence social judgment and interpersonal behavior. Behav. Brain Sci. 2010, 33, 267–268. [Google Scholar] [CrossRef]
- Schifferstein, H.N.J. The drinking experience: Cup or content? Food Qual. Prefer. 2009, 20, 268–276. [Google Scholar] [CrossRef]
- Van Rompay, T.J.L.; Finger, F.; Saakes, D.; Fenko, A. “See me, feel me”: Effects of 3D-printed surface patterns on beverage evaluation. Food Qual. Prefer. 2017, 62, 332–339. [Google Scholar] [CrossRef]
- Babbie, E. The Practice of Social Research, 9th ed.; Wadsworth/Thomson Learning: Belmont, CA, USA, 2001. [Google Scholar]
- Xiao, S. The Research and Development of Tea Industry Technology in Taiwan over the Past Sixty Yearscentered on the “Tea Industry Improvement Field” (1945~2005). Master’s Thesis, Central University, Taiyuan, Taiwan, 2007. [Google Scholar]
- Katz, D.; Kahn, R.L. The Social Psychology of Organizations, 2nd ed.; Wiley: New York, NY, USA, 1978. [Google Scholar]
- Fiss, P.C. A set-theoretic approach to organizational configurations. Acad. Manag. Rev. 2007, 32, 1180–1198. [Google Scholar] [CrossRef] [Green Version]
- Ragin, C.C. Redesigning Social Inquiry: Fuzzy Sets and Beyond; University of Chicago Press: Chicago, IL, USA, 2008. [Google Scholar]
- Woodside, A.G. Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. J. Bus. Res. 2013, 66, 463–472. [Google Scholar] [CrossRef]
- Pappas, I.O.; Woodside, A.G. Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in information systems and marketing. J. Inform. Manag. 2021, 58, 102310. [Google Scholar] [CrossRef]
- Ragin, C.C. Qualitative comparative analysis using fuzzy sets (fsQCA). In Configurational Comparative Analysis; Rihoux, B., Ragin, C., Eds.; Sage Publications: Thousand Oaks, CA, USA; London, UK, 2008; pp. 87–121. [Google Scholar]
- Mendel, J.M.; Korjani, M.M. Fast fuzzy set qualitative comparative analysis. Stud. Fuzz. Soft Comp. 2012, 291, 1–6. [Google Scholar]
- Spence, C.; Carvalho, F. Assessing the influence of the coffee cup on the multisensory tasting experience. Food Qual. Prefer. 2019, 75, 239–248. [Google Scholar] [CrossRef]
- Yeretzian, C. Coffee. In Springer Handbook of Odor; Buettner, A., Ed.; Springer International Publishing: Cham, Switzerland, 2017; pp. 107–128. [Google Scholar]
- Van Doorn, G.H.; Woods, A.; Levitan, C.A.; Wan, X.; Velasco, C.; Bernal-Torres, C.; Spence, C. Does the shape of a cup influence coffee taste expectations? A cross-cultural, on-line study. Food Qual. Prefer. 2017, 56, 201–211. [Google Scholar] [CrossRef] [Green Version]
- Spence, C.; Gallace, A. Multisensory design: Reaching out to touch the consumer. Psychol. Mark. 2011, 3, 267–303. [Google Scholar] [CrossRef]
- Ragin, C.C. User’s Guide to Fuzzy-Set/Qualitative Comparative Analysis 3.0; Department of Sociology, University of California: Irvine, CA, USA, 2018. [Google Scholar]
- Cliceri, D.; Petit, E.; Garrel, C.; Monteleone, E.; Giboreau, A. Effect of glass shape on subjective and behavioral consumer responses in a rea-lifecontext of drinking consumption. Food Qual. Prefer. 2018, 64, 187–191. [Google Scholar] [CrossRef]
- Yang, S.C.; Peng, L.H.; Hsu, L.C. The influence of teacup shape on the cognitive perception of tea, and the sustainability Valvue of the aesthetic and practical design of a teacup. Sustainability 2019, 11, 6895. [Google Scholar] [CrossRef] [Green Version]
- Harrar, V.; Spence, C. The taste of cutlery: How the taste of food is affected by the weight, size, shape, and colour of the cutlery used to eat it. Flavour 2013, 2, 21. [Google Scholar] [CrossRef] [Green Version]
- Ji, J.Q. Dismantling and Loosening Scientific Rationality (III): Latu’s Actor-Network Theory. Available online: http://shs.ntu.edu.tw/shsblog/?p=32161 (accessed on 20 June 2020).
- Cash, P.J.; Hartlev, C.G.; Durazo, C.B. Behaviour design: A process for integrating behaviour change and design. Des. Stud. 2017, 48, 96–128. [Google Scholar] [CrossRef] [Green Version]
- Tromp, N.; Hekkert, P. Social implication design (SID): A design method to exploit the unique value of the artefact to counteract social problems. In Proceedings of the DRS 2014: Design’s Big Debates, Umea, Sweden, 16–19 June 2014. [Google Scholar]
Taste and Aroma of Tea | Scale Level | Taste and Aroma of Tea | |||||
---|---|---|---|---|---|---|---|
Very Much (5) | A Little (4) | Normal (3) | A Little (2) | Very Much (1) | |||
Taste | Strong | The taste is solid | The taste is a little strong | The taste is normal | The taste is a little light | The taste is very light | Watery |
Umami | The taste is solid with an umami taste | The taste is a little umami taste | The umami taste is normal | The taste is a bit strong, bitter, astringent | The taste is very strong, bitter, astringent | Bitter and astringent | |
Sweet | The taste is delightful and refreshing | The taste is a little sweet and refreshing | The sweetness is normal | The taste is a bit grassy and astringent | The taste is very grassy and astringent | Immature but astringent | |
Smooth | The taste is delightful and smooth | The taste is a little sweet and smooth | The smoothness is normal | The taste is a bit astringent and not smooth | The taste is very astringent and not smooth | Coarse but astringent | |
Rich | The taste is delightful and rich | It tastes a bit sweet but not rich | The sweetness and richness are normal | The taste is a bit light and not rich | The taste is very light and not rich | Coarse but plain | |
Aroma | Fragrant | The aroma is very pure and not mixed | The scent is regular and pure but not high | Normal scent | A little bit mixed with the non-tea smell | Non-tea smell | Messy smell |
Experimental Group | Control Group | ||
---|---|---|---|
Variable | Percentage (N = 17) | Variable | Percentage (N = 17) |
Gender (N = 17) | Gender (N = 17) | ||
Male | 29% (5) | Male | 41% (7) |
Female | 71% (12) | Female | 59% (10) |
Age | Age | ||
35–44 | 24% (4) | 15–24 | 12% (2) |
45–54 | 47% (8) | 25–34 | 29% (5) |
55–64 | 35% (5) | 55–64 | 59% (10) |
Education | Education | ||
University | 41% (7) | University | 82% (14) |
Post-Graduate | 59% (10) | Postgraduate | 18% (3) |
Frequency | Frequency | ||
Every day | 82% (15) | Every day | 35% (6) |
Sometimes | 18% (2) | Sometimes | 65% (11) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3 (2.941) | 1.085 (0.998) | 1 (1) | 5 (5) |
B | 2.882 (3.471) | 0.832 (0.915) | 1 (1) | 4 (5) |
C | 2.765 (3.176) | 1.059 (0.922) | 1 (1) | 4 (5) |
D | 3.118 (3.411) | 0.758 (0.974) | 2 (1) | 5 (5) |
E | 2.471 (3.352) | 0.915 (0.967) | 1 (2) | 4 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3.412 (3.471) | 0.844 (1.091) | 2 (1) | 5 (5) |
B | 3.647 (2.941) | 0.588 (1.161) | 3 (1) | 5 (5) |
C | 3.412 (3.294) | 0.600 (1.072) | 2 (2) | 4 (5) |
D | 3.353 (3.294) | 0.904 (1.072) | 2 (2) | 5 (5) |
E | 3.235 (3.0589) | 0.9412 (0.998) | 2 (1) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3.059 (3.529) | 1.162 (1.091) | 1 (1) | 5 (5) |
B | 3.412 (3.235) | 0.844 (1.165) | 2 (1) | 5 (5) |
C | 3.118 (3.235) | 0.832 (1.165) | 2 (1) | 5 (5) |
D | 3.412 (3.352) | 1.032 (1.026) | 1 (2) | 5 (5) |
E | 2.824 (3.059) | 0.856 (0.998) | 2 (1) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 2.941 (3.647) | 1.056 (0.967) | 1 (2) | 5 (5) |
B | 3.058 (3.235) | 0.872 (1.112) | 2 (1) | 5 (5) |
C | 3 (2.824) | 0.907 (0.923) | 2 (1) | 5 (4) |
D | 3.118 (3.235) | 0.900 (1.113) | 2 (2) | 4 (5) |
E | 3 (3.059) | 0.907 (0.872) | 2 (2) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 2.941 (3.529) | 0.802 (0.848) | 2 (2) | 5 (5) |
B | 2.824 (3.294) | 0.9843 (1.015) | 1 (1) | 4 (5) |
C | 2.529 (3.235) | 0.9151 (1.059) | 1 (1) | 5 (5) |
D | 3.235 (3.118) | 0.807 (0.900) | 2 (1) | 4 (5) |
E | 2.647 (3.353) | 1.026 (0.836) | 1 (2) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3.88 (4) | 0.471 (0.840) | 3 (2) | 5 (5) |
B | 3.529 (3.412) | 0.848 (0.974) | 2 (1) | 5 (5) |
C | 3.412 (3.235) | 0.771 (0.941) | 2 (1) | 5 (5) |
D | 3.353 (3.471) | 0.836 (0.848) | 2 (1) | 5 (5) |
E | 3.412 (3.529) | 0.771 (0.606) | 2 (3) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3.471 (3.706) | 0.696 (0.892) | 2 (2) | 4 (5) |
B | 3.412 (3.471) | 0.691 (1.091) | 2 (2) | 5 (5) |
C | 3.353 (3.353) | 0.681 (0.967) | 2 (2) | 5 (5) |
D | 3.706 (3.529) | 0.892 (1.036) | 2 (2) | 5 (5) |
E | 3.294 (3.352) | 0.892 (0.9037) | 2 (2) | 5 (5) |
Variable | Mean Exp/Ctrl | Std. DEV Exp/Ctrl | Minimum Exp/Ctrl | Minimum Exp/Ctrl |
---|---|---|---|---|
A | 3.118 (3.471) | 0.831 (0.696) | 1 (3) | 4 (5) |
B | 3.412 (3.647) | 0.600 (0.836) | 2 (2) | 4 (5) |
C | 3.588 (3.471) | 0.974 (0.848) | 2 (2) | 5 (5) |
D | 3.941 (3.176) | 0.725 (0.922) | 2 (2) | 5 (5) |
E | 3.235 (3.059) | 0.807 (0.937) | 2 (1) | 5 (5) |
Variables | Definitions |
---|---|
y | Tea test |
y1 | The strongness of tea |
y2 | The umami of tea |
y3 | The sweetness of tea |
y4 | The smoothness of tea |
y5 | The richness of tea |
y6 | The fragrance of tea |
y7 | The overall performance |
x | The appearance of a teacup |
x1 | The preference for a teacup |
x2 | The width of the teacup’s diameter (the caliber size of a teacup) |
x3 | The height of the teacup |
x4 | The thickness of the teacup’s rim (the thickness of the cup at the mouth) |
Function | Remarks |
---|---|
y1 = f (x1, x2, x3, x4) | The relationship between the strongness of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y2 = f (x1, x2, x3, x4) | The relationship between the umami of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y3 = f (x1, x2, x3, x4) | The relationship between the sweetness of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y4 = f (x1, x2, x3, x4) | The relationship between the smoothness of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y5 = f (x1, x2, x3, x4) | The relationship between the richness of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y6 = f (x1, x2, x3, x4) | The relationship between the fragrance of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
y7 = f (x1, x2, x3, x4) | The relationship between the overall performance of the tea (result) and cup preference, cup diameter width, cup height, and rim thickness (condition) |
Function | Causal Solution | Raw Coverage | Unique Coverage | Consistency |
---|---|---|---|---|
y1 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.552 | 0.109 | 0.839 |
x1 * x2 * x4 | 0.405 | 0.049 | 0.839 | |
y2 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.520 | 0.085 | 0.769 |
x1* x2 * x4 | 0.415 | 0.065 | 0.838 | |
y3 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.516 | 0.095 | 0.787 |
x1 * x2 * x4 | 0.399 | 0.060 | 0.832 | |
y4 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.538 | 0.095 | 0.791 |
x1 * x2 * x4 | 0.400 | 0.065 | 0.842 | |
y5 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.538 | 0.090 | 0.829 |
x1 * x2 * x4 | 0.422 | 0.059 | 0.887 | |
y6 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.500 | 0.086 | 0.846 |
x1 * x2 * x4 | 0.400 | 0.063 | 0.923 | |
y7 = f (x1, x2, x3, x4) | x2 * ~x3 | 0.509 | 0.091 | 0.845 |
x1 * x2 * x4 | 0.402 | 0.064 | 0.909 |
Function | Causal Solution | Raw Coverage | Unique Coverage | Consistency |
---|---|---|---|---|
y1 = f (x1, x2, x3, x4) | No solution | |||
y2 = f (x1, x2, x3, x4) | x2 * x4 | 0.454 | 0.073 | 0.895 |
x2 * ~x3 | 0.567 | 0.016 | 0.913 | |
y3 = f (x1, x2, x3, x4) | x2 * x4 | 0.456 | 0.070 | 0.806 |
x2 * ~x3 | 0.568 | 0.013 | 0.823 | |
y4 = f (x1, x2, x3, x4) | x2 * x4 | 0.462 | 0.063 | 0.764 |
x2 * ~x3 | 0.570 | 0.010 | 0.773 | |
y5 = f (x1, x2, x3, x4) | No solution | |||
y6 = f (x1, x2, x3, x4) | x2 * x4 | 0.461 | 0.099 | 0.948 |
x2 * ~x3 | 0.523 | 0.012 | 0.880 | |
y7 = f (x1, x2, x3, x4) | x2 * x4 | 0.455 | 0.082 | 0.910 |
x2 * ~x3 | 0.538 | 0.011 | 0.880 |
Function | Causal Solution | Raw Coverage | Unique Coverage | Consistency |
---|---|---|---|---|
y1 = f (x1, x2, x3, x4) | x2 *~x3 * x4 | 0.360 | 0.007 | 0.823 |
x1 * x2 * x4 | 0.403 | 0.054 | 0.831 | |
x1 *~ x3 *~ x4 | 0.572 | 0.007 | 0.821 | |
x1 * x2 *~ x3 | 0.479 | 0.006 | 0.811 | |
y2 = f (x1, x2, x3, x4) | x2 *~ x3 * x4 | 0.361 | 0.007 | 0.769 |
x1 * x2 * x4 | 0.413 | 0.065 | 0.809 | |
x1 *~ x3 *~ x4 | 0.557 | 0.009 | 0.760 | |
y3 = f (x1, x2, x3, x4) | x2 *~ x3 * x4 | 0.353 | 0.008 | 0.793 |
x1 * x2 * x4 | 0.386 | 0.044 | 0.753 | |
x1 *~x3 *~ x4 | 0.564 | 0.009 | 0.767 | |
y4 = f (x1, x2, x3, x4) | x2 *~ x3 * x4 | 0.370 | 0.009 | 0.832 |
x1 * x2 * x4 | 0.416 | 0.0572 | 0.811 | |
x1 *~ x3 *~ x4 | 0.598 | 0.009 | 0.814 | |
x1 * x2 *~ x3 | 0.499 | 0.009 | 0.779 | |
y5 = f (x1, x2, x3, x4) | x2 *~ x3 * x4 | 0.352 | 0.007 | 0.887 |
x1 * x2 * x4 | 0.405 | 0.062 | 0.886 | |
x1 *~ x3 *~ x4 | 0.571 | 0.008 | 0.872 | |
x1* x2 *~ x3 | 0.485 | 0.008 | 0.848 | |
y6 = f (x1, x2, x3, x4) | x2*~ x3 * x4 | 0.340 | 0.006 | 0.885 |
x1 * x2 * x4 | 0.391 | 0.060 | 0.884 | |
x1 * ~ x3 *~ x4 | 0.558 | 0.007 | 0.881 | |
x1 * x2 *~ x3 | 0.474 | 0.008 | 0.857 | |
y7 = f (x1, x2, x3, x4) | x2 *~ x3 * x4 | 0.352 | 0.008 | 0.858 |
x1 * x2 * x4 | 0.4 | 0.059 | 0.847 | |
x1 *~ x3 *~ x4 | 0.575 | 0.008 | 0.848 | |
x1 * x2 *~ x3 | 0.486 | 0.011 | 0.821 |
Function | Model | Consistency | Unique Coverage |
---|---|---|---|
y1 = f (x1, x2, x3, x4) | Model1 | 0.804 | 0.68 |
Model2 | 0.804 | 0.687 | |
y2 = f (x1, x2, x3, x4) | Model1 | 0.919 | 0.34 |
Model2 | 0.919 | 0.34 | |
y3 = f (x1, x2, x3, x4) | Model1 | 0.964 | 0.337 |
Model2 | 0.89 | 0.547 | |
y4 = f (x1, x2, x3, x4) | Model1 | 0.964 | 0.337 |
Model2 | 0.834 | 0.555 | |
y5 = f (x1, x2, x3, x4) | Model1 | 0.910 | 0.344 |
Model2 | 0.909 | 0.321 | |
y6 = f (x1, x2, x3, x4) | Model1 | 0.909 | 0.321 |
Model2 | 0.909 | 0.321 | |
y7 = f (x1, x2, x3, x4) | Model1 | 0.858 | 0.518 |
Model2 | 0.946 | 0.32 |
Function | Causal Solution | Raw Coverage | Unique Coverage | Consistency |
---|---|---|---|---|
y1 = f (x1, x2, x3, x4) | x2 * x3 * x4 | 0.431 | 0.038 | 0.760 |
~x3 * x4 | 0.531 | 0.0380 | 0.745 | |
~x1 * x2 * x4 | 0.41 | 0.0486 | 0.753 | |
y2 = f (x1, x2, x3, x4) | x2 * x4 | 0.453 | 0.137 | 0.911 |
x1 *~x3 *~x4 | 0.580 | 0.140 | 0.881 | |
y3 = f (x1, x2, x3, x4) | x2 * x4 | 0.462 | 0.128 | 0.822 |
x1 *~x3 *~x4 | 0.613 | 0.158 | 0.824 | |
y4 = f (x1, x2, x3, x4) | x2 * x4 | 0.447 | 0.122 | 0.833 |
x1 *~x3 *~x4 | 0.611 | 0.160 | 0.861 | |
y5 = f (x1, x2, x3, x4) | ~x1 | 0.693 | 0.0418 | 0.753 |
y6 = f (x1, x2, x3, x4) | x2 * x4 | 0.473 | 0.151 | 0.928 |
x1 *~x3 *~x4 | 0.592 | 0.135 | 0.877 | |
y7 = f (x1, x2, x3, x4) | x2 * x4 | 0.442 | 0.130 | 0.901 |
x1 *~x3 *~x4 | 0.60 | 0.156 | 0.910 |
Function | Model | Consistency | Unique Coverage |
---|---|---|---|
y1 = f (x1, x2, x3, x4) | Model1 | 0.784 | 0.624 |
Model2 | 0.871 | 0.282 | |
y2 = f (x1, x2, x3, x4) | Model1 | 0.927 | 0.607 |
Model2 | 0.871 | 0.282 | |
y3 = f (x1, x2, x3, x4) | Model1 | 0.880 | 0.619 |
Model2 | 0.801 | 0.278 | |
y4 = f (x1, x2, x3, x4) | Model1 | 0.749 | 0.645 |
Model2 | 0.730 | 0.310 | |
y5 = f (x1, x2, x3, x4) | Model1 | 0.759 | 0.628 |
Model2 | 0.740 | 0.301 | |
y6 = f (x1, x2, x3, x4) | Model1 | 0.950 | 0.566 |
Model2 | 0.950 | 0.566 | |
y7 = f (x1, x2, x3, x4) | Model1 | 0.947 | 0.607 |
Model2 | 0.928 | 0.293 |
Experimental Group | Control Group | ||
---|---|---|---|
Variables | Hypothesis | Variables | Hypothesis |
x1 (Teacup shape preference) | H1 False | x1 (Teacup shape preference) | H1 True |
x2 (Width of the teacup) | H2 Partial True | x2 (Width of the teacup) | H2 True |
x3 (Height of the teacup) | H3 False | x3 (Height of the teacup) | H3 False |
x4 (Thickness of the teacup) | H4 Partial True | x4 (Thickness of the teacup) | H4 True |
Experimental Group | Control Group | ||||||
---|---|---|---|---|---|---|---|
Tea Taste Variables | Cup Variables | f/Total | Pot | Tea Taste Variables | Cup Variables | f/Total | Pot |
Strongness | D | 4/17 | 24 | Strongness | B | 8/17 | 41 |
Umami | B | 10/17 | 59 | Umami | A | 9/17 | 53 |
Sweetness | B | 7/17 | 50 | Sweetness | A | 10/17 | 59 |
Smoothness | D | 8/17 | 41 | Smoothness | A | 11/17 | 65 |
Richness | D | 8/17 | 41 | Richness | A | 7/17 | 50 |
Fragrance | A | 14/17 | 82 | Fragrance | A | 13/17 | 76 |
Overall Performance | D | 9/17 | 53 | Overall Performance | A | 11/17 | 65 |
Teacup Preference | D | 14/17 | 82 | Teacup Preference | B | 9/17 | 53 |
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Yang, S.-C.; Peng, L.-H. Preliminary Research into the Sustainable Responsibility of Teaware Design—A Fs/QCA Analysis of the Influence of the Smell and Taste of Tea through Visual and Tactile Perception. Sustainability 2021, 13, 8884. https://doi.org/10.3390/su13168884
Yang S-C, Peng L-H. Preliminary Research into the Sustainable Responsibility of Teaware Design—A Fs/QCA Analysis of the Influence of the Smell and Taste of Tea through Visual and Tactile Perception. Sustainability. 2021; 13(16):8884. https://doi.org/10.3390/su13168884
Chicago/Turabian StyleYang, Su-Chiu, and Li-Hsun Peng. 2021. "Preliminary Research into the Sustainable Responsibility of Teaware Design—A Fs/QCA Analysis of the Influence of the Smell and Taste of Tea through Visual and Tactile Perception" Sustainability 13, no. 16: 8884. https://doi.org/10.3390/su13168884
APA StyleYang, S. -C., & Peng, L. -H. (2021). Preliminary Research into the Sustainable Responsibility of Teaware Design—A Fs/QCA Analysis of the Influence of the Smell and Taste of Tea through Visual and Tactile Perception. Sustainability, 13(16), 8884. https://doi.org/10.3390/su13168884