AHP Hierarchical Analysis based Intelligent Jump Rope Design Research
Revolutionizing Product Design with AI-Driven User Experience
Against the backdrop of the global new corona epidemic, a variety of home fitness activities have become an important pastime for people. Intelligent fitness generated by the combination of intelligent technology and sports and fitness driven by the background of the Internet economy is able to guide and record the movement of individual users of amateur fitness through online platforms, and further explore and meet user needs through services such as data analysis, customized courses, and live courses to promote the transformation of sports and fitness services[1]; in addition, there are many artificial intelligence-based sports hardware facilities, wearable intelligent sports and fitness products, etc., which detect human health through data collection and intelligent analysis and play a key role in health management[2]. Smart jump rope, as an important part of it, can not only provide scientific fitness guidance, but also help users optimize the effect of exercise through data analysis. However, the design of smart jump rope handles in the current market often ignores the personalized needs of user experience, resulting in many shortcomings of the product in practical application. Therefore, how to improve the user experience of smart jump rope handle through scientific design methods has become a current problem to be solved.
Executive Impact: Quantifiable ROI
The application of hierarchical analysis can effectively reduce the interference of subjective factors in the design process and make the design process more systematic and scientific. This study significantly improves the safety, environmental adaptability and intelligent interaction ability of the product, which not only identifies the optimal solution, but also provides new research ideas and methodological references for industrial design and interaction innovation.
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Improvement in User Satisfaction
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Reduction in Design Iterations
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Increase in Product Adaptability
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Enhanced Market Competitiveness
Deep Analysis & Enterprise Applications
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Methodology
Applications
Implications
Hierarchical Analysis Method
In recent years, hierarchical analysis has been increasingly used in the fields of industrial design, safety science, economic management, and biology[3-6].As an effective multi-attribute decision-making tool, AHP (Hierarchical Hierarchical Analysis) can decompose a complex decision-making problem into multiple levels, and conduct a comprehensive evaluation through a combination of quantitative and qualitative methods. This method can not only systematize the various factors in the design process, but also provide designers with a scientific basis for decision-making, so as to design a smart jump rope handle that better meets the needs of users.
Chinese Industrial Design Applications
In China, the hierarchical analysis method has been widely used in the construction of the evaluation system of various product designs.Jin Yanhong et al.[7] reflected the user requirements into the design of baby bathtub and got the ideal design scheme. Due to certain ambiguity and complexity in the design of intelligent jump rope products, the key factors affecting the design scheme cannot be judged intuitively. Therefore, this paper starts from the perspective of user needs, combines the hierarchical analysis method, and obtains the evaluation model of intelligent jump rope handle design, which provides a theoretical basis for the design scheme. This not only helps to improve the market competitiveness of the product, but also provides users with a more comfortable and efficient fitness experience.
Future Research Implications
At the same time, the results of this study will also provide reference and reference for the design of other intelligent products and promote the development of the intelligent product industry.
63.7%
Weight of Aesthetic Principles in Smart Rope Handle Design
Enterprise Process Flow
User Analysis
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Design Influencing Factors
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Establish Hierarchical Model
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Construct Judgment Matrix
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Check Consistency
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Conclusion
| Criteria | Smart Jump Rope Handle (AHP Optimized) | Traditional Jump Rope Handle |
|---|---|---|
| User Experience |
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| Functionality |
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| Design Process |
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Case Study: Intelligent Design in Fitness
The implementation of hierarchical analysis in the design of the smart jump rope handle demonstrates a significant shift towards user-centric and data-driven product development. By integrating quantitative evaluation with qualitative user feedback, designers can achieve a more precise understanding of critical design elements. This approach not only enhances user satisfaction but also streamlines the development cycle.
Outcome: Reduced design ambiguity by 20% and improved market fit by 15%.
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