Human-Computer Interaction for the Mass Customization of 3D-Printed Eyewear: Designing an Aesthetically Fitting System and Its Co-creation Services

This project explores the integration of mass customization and 3D printing in eyewear design to develop an aesthetically fitting system that harmonizes eyeglass frames with individual facial features. Utilizing human-computer interaction, the system leverages user facial data for personalized frame selection and adjustments, addressing significant knowledge gaps in the current market. It designs a co-creation service to enhance user engagement throughout the customization process, emphasizing the importance of user feedback in driving design decisions. Key lessons learned include the critical role of aesthetical experience in user choice, the need for intuitive navigation to mitigate choice overload, and the value of iterative design through user interaction. The project highlights the potential of combining traditional eyewear design with modern technology to create personalized, functional, and aesthetically pleasing products. In this way, it paves the way for future research in integrating artificial intelligence and machine learning for even more refined customization experiences.