Product Design & HCI
Research on the design of intelligent home fitness equipment based on KJ-AHP
In order to better combine artificial intelligence technology with the functions of home fitness equipment and overcome the limitations of traditional fitness equipment, the KJ-AHP integration method is used to achieve the optimisation design research of intelligent home fitness equipment. Through the questionnaire survey, user interviews on fitness equipment related information research, with the help of KJ affinity diagram method to count the user's demand indicators for intelligent fitness equipment functions. Using the AHP hierarchical analysis method, the demand indicators are transformed into design elements, the design scheme is quantitatively evaluated, and the weight value of each functional indicator is calculated. The design element priority of intelligent home fitness equipment is derived to guide the design practice, so as to design a home fitness equipment with strong functionality, intelligence, convenient operation and high safety, and at the same time provide research ideas for the design of related products.
Authors: Ming Lv, Yabin Li | Published: April 11-13, 2025 | Source: The 4th International Conference on Biomedical and Intelligent Systems (IC-BIS 2025) | DOI Link
Executive Impact & Key Metrics
This research offers a clear path for integrating user-centric design with AI in product development. Understand the critical implications for your enterprise.
Key Takeaway
The KJ-AHP integrated method effectively guides the design of intelligent home fitness equipment by prioritizing user demands, ensuring functionality, intelligence, convenience, and safety.
Enterprise Relevance
This research provides a robust, data-driven methodology for product development, particularly in integrating AI into consumer goods. Businesses can apply KJ-AHP to systematically capture user needs, translate them into design elements, and quantitatively evaluate design priorities, leading to highly market-aligned products and reduced development risk.
0%
Design Efficiency Boost
0/5
User Satisfaction Score
0%
Design Element Prioritization Accuracy
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
This section explores the application of the KJ-AHP method in the design of intelligent home fitness equipment, detailing how user demands are systematically translated into prioritized design elements.
64.79%
of users prioritize 'Multiple Training Modes' (C3), highlighting demand for functional versatility.
KJ-AHP Integration Methodology
User Requirement Collection (KJ Method)
→
Demand Indicators Classification
→
Hierarchical Model Construction (AHP)
→
Judgment Matrix Establishment
→
Weight Calculation & Consistency Test
→
Design Element Prioritization
| Feature | Traditional Design | KJ-AHP Integrated Design |
|---|---|---|
| User Needs Capture | Intuitive/Anecdotal |
|
| Design Element Derivation | Subjective, experience-based |
|
| Priority Assessment | Qualitative, prone to bias |
|
| Development Risk | Higher (potential for misalignment) |
|
| Innovation Potential | Limited by current paradigms |
|
Intelligent Home Fitness Equipment Design Outcome
Applying the KJ-AHP method, the resulting intelligent home fitness equipment prototype demonstrated a 4.25 out of 5 satisfaction score from target users. Key design priorities included 'Multiple Training Modes' (64.79%), 'Portable' (64.33%), and 'Virtual Fitness Mode' (58.12%). This approach ensured that the final product directly addressed critical user demands for functionality, intelligence, convenience, and safety, leading to a highly competitive and user-centric design.
Calculate Your Potential AI ROI
Estimate the financial and operational benefits of implementing AI-driven design methodologies in your organization.
Estimated Annual Savings
$0
Annual Hours Reclaimed
0
Your AI Implementation Roadmap
A typical phased approach for integrating advanced AI methodologies into your product design and development pipeline.
Phase 01: Discovery & Strategy
Conduct detailed workshops to understand current design processes, identify key pain points, and define strategic objectives for AI integration. Assess existing data infrastructure and team capabilities.
Phase 02: Pilot Program & Data Integration
Select a pilot project to apply KJ-AHP. Implement data collection mechanisms for user feedback and design metrics. Begin integrating data sources for comprehensive analysis.
Phase 03: Model Development & Iteration
Develop AHP models based on pilot data. Conduct iterative design sprints, translating user requirements into prototypes and validating with target users. Refine models based on feedback.
Phase 04: Scaling & Training
Expand the KJ-AHP methodology across relevant product lines. Provide comprehensive training to design and engineering teams on new tools and processes. Establish governance for continuous improvement.
Phase 05: Performance Monitoring & Optimization
Implement dashboards to track design efficiency, user satisfaction, and ROI. Continuously optimize AI models and processes based on performance data and evolving market needs.
Ready to Transform Your Design Process?
Book a consultation with our AI strategy experts to explore how KJ-AHP and other advanced methodologies can revolutionize your product development and user satisfaction.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat