Research on product design priority allocation based on user characteristics classification.

Area of Science:

• Human-Computer Interaction
• Product Design
• User Experience Research

Background:

• Improving user experience requires understanding and prioritizing product usability demands.
• Existing methods often fail to account for diverse user characteristics and their influence on needs and behaviors.
• A gap exists in rationally allocating design priorities based on user segmentation.

Purpose of the Study:

• To propose a product design priority allocation method based on user characteristic classification.
• To enhance product usability by aligning design with user preferences and behaviors.
• To provide a framework for prioritizing product features based on user segmentation.

Main Methods:

• Integrating Pearson correlation coefficient with the finite rationality hypothesis model for user characteristic classification.
• Screening factors influencing user needs-behavior divergence using Pearson correlation coefficient.
• Constructing a product usability evaluation system using the Analytic Hierarchy Process (AHP) across product attributes, symbolic elements, and human-computer factors.

Main Results:

• Successfully classified users based on characteristics and their influence on product demand.
• Quantitatively analyzed product features and identified priorities for different user segments.
• Demonstrated the method's effectiveness using female protective clothing as a case study.

Conclusions:

• The proposed method effectively enhances product usability by prioritizing design elements based on classified user characteristics.
• This approach allows for better control over user demand direction in product selection and usage.
• The method offers a valuable framework for product design prioritization in various sectors, including protective clothing.