# Embrace the Era of Drones: A New Practical Design Approach to Emergency Rescue Drones
## 6 Conclusions and Future Research
### Conclusions  
To improve user satisfaction with emergency rescue drone products, a product design method based on the fuzzy Kano-QFD-FBS model is proposed. The fuzzy Kano model is  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
\begin{tabular}{c} **SUS Total Score** \\ **Grade** \\ \end{tabular} & **Rating** & **Percentage Rating** \\ \hline
84.1–100 & A+ & 96–100 & 71.5–72.5 & C+ & 60–64 \\
80.8–84.0 & A & 90–95 & 65–71 & C & 41–59 \\
78.9–80.7 & A\(-\) & 85–89 & 62.7–64.9 & C\(-\) & 35–40 \\
77.2–78.8 & B+ & 80–84 & 51.7–62.6 & D & 15–34 \\
74.1–77.1 & B & 70–79 & 0–51.7 & F & 0–14 \\
72.6–74 & B\(-\) & 65–69 & & & \\ \hline \hline \end{tabular}
\end{table}
Table 13: Range of curve grading for the total SUS score.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Group** & **Sample Scale** & **Minimum** & **Maximum** & **Mean** & **Standard Deviation** & **Median** \\ \hline Current Product & 98 & 28 & 35 & 32.02 & 3.85 & 32 \\ Questionnaire (A) & 98 & 17 & 25 & 19.53 & 4.36 & 20 \\ Current product SUS (C) & 97 & 71 & 87 & 80.04 & 6.72 & 78 \\ Original product SUS (D) & 97 & 36 & 58 & 48.82 & 7.36 & 45 \\ \hline \hline \end{tabular}
\end{table}
Table 14: Description and statistics of user rating data.  
Figure 9: SUS test results.  
used to filter out key user requirements, the QFD model is applied to construct a house of high quality to obtain design elements and weights for emergency rescue drone products, and the mapping transformation from functional elements to structural elements of emergency rescue drone products through the FBS model is completed to achieve the shape design of emergency rescue drone products. The user satisfaction evaluation of the emergency rescue drone design scheme is conducted through the use of a user satisfaction rating scale and a system usability scale based on expert review. The new design scheme can obtain higher user ratings compared to the original design, and the rating results have significant differences. Research shows that the product design method based on the fuzzy Kano-QFD-FBS model can comprehensively capture and analyse user requirements, accurately map them to product design elements, and produce specific plans for the design of emergency rescue drone products. The design scheme performs well in meeting user requirements, verifying the feasibility and effectiveness of the fuzzy Kano-QFD-FBS model in the research of drone shape design for emergency rescue, providing a new approach to product design for emergency rescue.  
Hefei Jiaxun Technology Co., Ltd. carried out product development for the design scheme. At present, physical products have been sold on the market and have achieved good results. Hefei Jiaxun Technology Co., Ltd. conducted a survey on consumer satisfaction with this product, and the results revealed that customer satisfaction increased by 11.9% compared with that of previous products. Compared with similar products in the market, the consumer satisfaction with this product increased by 13.5%, indicating that it has obvious market competitiveness. The design scheme of emergency rescue drones improves the core competitiveness of products, solves the problem of product homogeneity, enhances user satisfaction, and creates huge value for enterprises. The development of the emergency rescue drone design scheme has further implemented the cooperation between schools, enterprises and research institutes, broadened the scope of cooperation, and enhanced the connotation of cooperation.  
However, in the user research stage of this method, the number of survey questionnaires collected in some areas was small, which may lead to information deviation, affect the accuracy of demand acquisition, and thus affect the later design. The product design practice stage involves sensor technology and communication transmission technology. Only preliminary feasibility was considered, without in-depth analysis of specific configurations and usages. The specific parameters remain at the feasibility level.