Research on Smart Product Design and User Interaction Experience Enhancement Methods Based on Internet of Things
The rapid development of Internet of Things (IoT) technology provides brand new opportunities and means for the improvement of intelligent product design and user interaction experience. Through the application of real-time data acquisition and sensor technology, the Internet of Things can not only realize the accurate perception of user needs, but also optimize the interaction logic to make the user experience more intelligent, personalized and contextualized. Using advanced computer hardware and software technology to construct a realistic natural environment, bring people into a nearly real three-dimensional world, and can interact in real time, giving people the feeling of being in the real world, the current design of intelligent products is still faced with the challenges of dynamic changes in user needs, increased complexity of interaction, and privacy and security issues. This paper takes the Internet of Things as the core, systematically analyzes the methods to improve user interaction experience in smart product design, and proposes a complete optimization framework from user demand perception, intelligent interaction design, contextualized experience optimization to feedback and continuous iteration, and verifies its feasibility and validity through case studies. The future user experience design evaluation of smart products has room for development in terms of scenario integration, diversified evaluation methods, information security, ethical scales, participation methods and long-term user experience, which provides reference or help for research and work in related fields.The design method based on the Internet of Things not only improves the user satisfaction of the product, but also can provide theoretical and practical support for the future design trend of smart products.
Authors
- Jiapeng Li (ORCID: https://orcid.org/0009-0004-1521-7787)
Institutions
- Wuhan University of Technology (CN)
- Hubei University of Technology (CN)
Publication Details
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1109/edpee65754.2025.00213
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00