Using Kansei Engineering for the Design Thinking Framework: Bamboo Pen Holder Product Design
Abstract
:1. Introduction
- (1)
- A focus on the positive and cultural interactions between college students and environmentally friendly educational tools, which can help increase consumer preference for sustainable products.
- (2)
- The KE–DT framework proposed in this study is an extension of the existing KE and DT product design methods. With the KE–DT framework, the cognitive gap between users and designers is narrowed. This helps to deal with more complex technical issues in technical product design or sustainable product design.
- (3)
- The presentation of a KE–DT framework that could promote purchasing desire for environmentally friendly products and an optimization of the design process. Promoting the purchase of bamboo-based stationery products is conducive to the development of a sustainable design.
- (4)
- An automated method for generating stationery shapes in the KE–DT framework, and, after obtaining the questionnaire, the shapes of products such as bamboo pen holders can be automatically optimized. This can significantly shorten the design cycle and reduce the waste of resources.
2. Theoretical Background
2.1. Kansei Engineering
2.2. Design Thinking
3. Emotional Preferences of the Bamboo Stationery Product
3.1. Bamboo Stationery Product
3.2. Emotional Preferences
4. Experimental Elements and Design
4.1. Participants
4.2. Selection of Typical Samples
5. Methodology and Analysis
5.1. Determination of the Representative Kansei Words
# Euclidean distance def get_distance (X,Y): return np.sum((X − Y)^2)^0.5 def calc_mean (X): l = len(X[0]) list_mean = [] for i in range (l): s = 0 for j in X: s+=j[i] m = s/len(X) list_mean.append (m) return list_mean def k_means(x_train,k,max_iter): num_iter = 0 # Initial cluster center cluster_center = x_train[:k] pre_cluster_center = copy.deep_copy(cluster_center) # Last cluster center point # Starting iteration while num_iter < max_iter: clusters_data = {} for i in x_train: cluster_dists = [] for index,cluster in enumerate(cluster_center): distance = get_distance(i,cluster) cluster_dists.append((index,distance)) cluster_dists.sort(key = lambda x:x[1]) min_index,min_dist = cluster_dists[0] if min_index not in clusters_data: clusters_data[min_index] = [] clusters_data[min_index].append(i) # Update the cluster center point for index in clusters_data: cluster_center[index] = calc_mean(clusters_data[index]) if pre_cluster_center == cluster_center: break else: pre_cluster_center = copy.deep_copy(cluster_center) return cluster_center |
5.2. Gathering Data and KE Image
5.3. Result
6. Optimization and Analysis
6.1. Optimized Prototype by SQP
6.2. Validation of KE–DT Framework
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Author, Year, and Reference | Products | Methods and Summary |
---|---|---|
Hsiao et al. (2017) [28] | Hotel Service |
|
Yuhazri et al. (2018) [6] | Car |
|
Kittidecha (2018) [8] | Thai Ceramic |
|
Green (2018) [9] | Basketball shoes |
|
Wang et al. (2020) [11] | Shared Bicycle Service System |
|
Oey et al. (2022) [7] | Sofa |
|
Yang et al. (2022) [10] | Vehicle-mounted UAV |
|
Number | Representative KE Word Pair |
---|---|
1 | Fashionable—ancient |
2 | Rounded—upright |
3 | Concise—complex |
4 | Rough—exquisite |
5 | Noble—vulgar |
6 | Unique—ordinary |
7 | Desired—undesired |
KE Word | User | Designer |
---|---|---|
Fashionable—ancient | 0.7909 | 0.7416 |
Rounded—upright | 0.6936 | 0.5530 |
Concise—complex | 0.6380 | 0.4825 |
Rough—exquisite | 0.7825 | 0.7514 |
Noble—vulgar | 0.8863 | 0.7817 |
Unique—ordinary | 0.7544 | 0.6859 |
Product | Number 1 | Number 8 | Number 22 | Number 33 | Number 38 |
---|---|---|---|---|---|
Variance | 0.7353 | 0.8314 | 0.6842 | 0.7021 | 0.5626 |
Product | Number 9 | Number 37 | Number 38 | Number 44 | Number 65 |
---|---|---|---|---|---|
Variance | 0.8719 | 0.6936 | 0.6012 | 0.9347 | 0.7564 |
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Gong, X.; Guo, Z.; Xie, Z. Using Kansei Engineering for the Design Thinking Framework: Bamboo Pen Holder Product Design. Sustainability 2022, 14, 10556. https://doi.org/10.3390/su141710556
Gong X, Guo Z, Xie Z. Using Kansei Engineering for the Design Thinking Framework: Bamboo Pen Holder Product Design. Sustainability. 2022; 14(17):10556. https://doi.org/10.3390/su141710556
Chicago/Turabian StyleGong, Xue, Zhuen Guo, and Zhongqu Xie. 2022. "Using Kansei Engineering for the Design Thinking Framework: Bamboo Pen Holder Product Design" Sustainability 14, no. 17: 10556. https://doi.org/10.3390/su141710556