Research on Decorative Materials Properties Used in the Production of Cabinets Based on Visual/Tactile Experience
Source abstract
Abstract
With the further deepening of ageing in China, the ageing-in-place model is gaining more and more attention. In order to improve the quality of home life of the elderly, this paper takes age-friendly cabinets as the research object, from the perspective of material design, and takes the visual/tactile experience of the elderly as the entry point, classifies the current market cabinet materials, and selects the test samples. The physical properties of the samples were examined and analysed with the subjective emotional changes that the elderly experience with different cabinet materials. The objective physical properties of the cabinet materials were correlated with the visual/tactile subjective emotional factors, and through subjective tests and mathematical and statistical methods, an evaluation model of “visual/tactile subjective emotional factors—objective physical properties of materials” was established for the selection of materials in age-friendly cabinet design. It provides scientific guidance for the selection of materials in age-appropriate cabinet design.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Color perception and design · Multisensory perception and integration
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Design Art and Media, Nanjing University of Science and Technology, Nanjing 210014, China
College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
Funding
the Ministry of Education’s Industry-University Cooperative Education · Jiangsu University Philosophy and Social Science Research · Industrial Design and Development for Doors
References (32)
Show source-provided references
1. Alves, F.B., and Mendes, L. (2012, January 18). Urban Design and Ageing—Public space for elderly people in residential areas. Proceedings of the Citta 5th Annual Conference on Planning Research—Planning and Ageing: Think, Act and Share Age-friendly Cities, Porto, Portugal.
2. Ageing- and dementia-friendly design: Theory and evidence from cognitive psychology, neuropsychology and environmental psychology can contribute to design guidelines that minimise spatial disorientation10.1007/s10339-021-01031-8 ↗
3. Huang, N., Yan, X., and Zhao, W. (2022). Influence of Photochromic Microcapsules on Properties of Waterborne Coating on Wood and Metal Substrates. Coatings, 12.10.3390/coatings12111750 ↗
4. An interview study to explore ergonomic problems and coping strategies in the kitchen
5. Methods of Using Ethnographic Elements in Furniture Design
6. Noise Characteristics of Tungsten Circular Blade During Sawing of Medium Density Fiberboard10.1166/sam.2021.4069 ↗
7. Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry10.1016/j.jmsy.2021.02.003 ↗
8. Research on Kitchen Design of Modern Residence
9. Preference learning for evolutionary cognition algorithm and system of product material texture
10. Analysis of the material design strategy of intelligent wearing equipment through Apple Watch
11. Research on color and material design of aircraft cabin seat based on kansei image
12. The Influence of Visual and Tactile Inputs on Denim Jeans Evaluation
13. The Study of the Kansei Engineering System Based on Product Material Texture Image Survey10.12733/jics20105187 ↗
14. Emotional Differences in Tactile and Visual Sensation of Wood between Customers in Sweden and Japan for Kansei Engineering Application10.5057/ijae.IJAE-D-18-00018 ↗
15. Liu, M. (2020, January 11–13). Research on Modeling of Palace Lamps Based on Kansei Engineering. Proceedings of the 2020 International Conference on Intelligent Design (ICID), Xi’an, China.10.1109/ICID52250.2020.00061 ↗
16. Evolution and Emerging Trends of Kansei Engineering: A Visual Analysis Based on CiteSpace10.1109/ACCESS.2021.3102606 ↗
17. Jia, L.M., and Tung, F.W. (2021). A Study on Consumers’ Visual Image Evaluation of Wrist Wearables. Entropy, 23.10.3390/e23091118 ↗
18. Fear assessment in information security dialog box based on hybrid kansei engineering and KJ method10.5057/ijae.IJAE-D-20-00021 ↗
19. Yan, X., Zhao, W., Wang, L., and Qian, X. (2021). Effect of Microcapsule Concentration with Different Core-Shell Ratios on Waterborne Topcoat Film Properties for Tilia europaea. Coatings, 11.10.3390/coatings11091013 ↗
20. A comparison of intact and reconstituted samples of a silt tailings10.1680/jgeot.20.P.020 ↗
21. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution10.1016/j.neuroimage.2007.02.016 ↗
22. High-quality and high-efficiency machining of stone-plastic composite with diamond helical cutters10.1016/j.jmapro.2020.09.004 ↗
23. Milling performance of stone-plastic composite with diamond cutters10.1002/mawe.202100215 ↗
24. Specular reflection, gloss, roughness and surface heterogeneity of biopolymer coatings10.1002/1097-4628(20010321)79:12<2221::AID-APP1029>3.0.CO;2-F ↗
25. A Spatial Extension of CIELAB for digital color image reproduction10.1889/1.1985127 ↗
26. Pan, P., Yan, X., and Wang, L. (2022). Effects of thermochromic fluorane microcapsules and self-repairing waterborne acrylic microcapsules on the properties of water-based coatings on basswood surface. Polymers, 14.10.3390/polym14122500 ↗
27. Zhu, Z., Buck, D., Guo, X., Xiong, X., Xu, W., and Cao, P. (2022). Energy Efficiency Optimization for Machining of Wood Plastic Composite. Machines, 10.10.3390/machines10020104 ↗
28. Xu, W., Wu, Z., Lu, W., Yu, Y., Wang, J., Zhu, Z., and Wang, X. (2022). Investigation on cutting power of wood–plastic composite using response surface methodology. Forests, 13.10.3390/f13091397 ↗
29. Li, W., Yan, X., and Zhao, W. (2022). Preparation of Crystal Violet Lactone Complex and Its Effect on Discoloration of Metal Surface Coating. Polymers, 14.10.3390/polym14204443 ↗
30. Zhu, Z., Buck, D., Wu, Z., Yu, Y., and Guo, X. (2022). Frictional behaviour of wood-Plastic composites against cemented carbide during sliding contact. Wood. Mater. Sci. Eng., 1–7.10.1080/17480272.2022.2119432 ↗
31. Jiang, S., Buck, D., Tang, Q., Guan, J., Wu, Z., Guo, X., Zhu, Z., and Wang, X. (2022). Cutting force and surface roughness during straight-tooth milling of Walnut wood. Forests, 13.10.3390/f13122126 ↗
32. Comparison of passive cooling techniques in improving thermal comfort of occupants of a pre-fabricated building10.1016/j.enbuild.2016.03.055 ↗