Optimization design and application of mechanical characteristics in ergonomics of children's intelligent toys
Year: 2025
Type: article
Abstract: This study conducted a mechanical analysis on the ergonomic design of children's smart toys, with a focus on the stress conditions of the toys during use. By establishing an accurate mechanical model, we can delve into the stress distribution and deformation characteristics of toys in different usage scenarios. Using finite element analysis techniques, we simulated the dynamic response of toys under child interaction forces, revealing potential structural weaknesses and optimization space. In addition, the influence of material mechanical properties was also considered, and the most suitable material combination was selected accordingly. Although there are currently various types of smart toys on the market, only about 10 % of them have undergone ergonomic optimization. Using the experiential approach, commonly used smart toys are selected as research objects, and improved through the principles of ergonomics optimization design. The research results indicate that the ergonomic indicators of optimized smart toys designed specifically for children have significantly improved, with a pressure resistance of up to 120 kPa, effectively ensuring comfort and safety during use. In addition, an extended analysis of the empirical data obtained from this study provides strong support for further improving the design of smart toys that meet the needs of children. In summary, this comprehensive survey delves into the application of ergonomic principles to optimize the design process of children's smart toys, resulting in significant experiential results that can serve as a scientific basis for guiding future product improvements.
Source: Systems and Soft Computing
Authors: Jinming Liu, Yuanwu Shi, Chengwei Gu, Qingyi Li
Language: English
Topic: Engineering Applied Research
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,870
OpenAlex ID: W4409472114
