## 5 Conclusions  
The experimental evaluation on three different scanning methods showed that laser-based technology accuracy is still higher and easier to set up and use. However, due to the higher cost of this technology, its use may be limited to projects that require a reduced number of scans with high resolution, making data collection by ordinary users less accessible. Although the somatosensory camera-based technology is more accessible, with a reasonable data accuracy, it requires further post-processing work and is harder to use. Finally, the use of 3D photo reconstruction software is time consuming and requires a specific setup and a large amount of data to be transferred, making the accuracy setup-dependent, hence the need of a new method to capture user head data. The method presented in this work delivered a low-cost alternative for the quick and flexible capture of concise data appropriate for mass-customized eyewear design. The data sets captured, and the flexibility of the tools used, allowed the creation of more complex designs. However, further work is needed to produce design files that require less post-processing. Auto  
Figure 16: (**a**) Detail design of eyewear1;(**b**) Detail design of eyewear 2. Figure 17: (**a**) 3D printed prototype; (**b**) evaluation of comfort. mated post-processing algorithm blocks, or even the use of machine learning, could be further integrated. The project produced a usable parametric-based design framework for eyewear design; however, some aspects of its use require specific knowledge from the designer perspective in order to create a seamless MC experience between designer and customer. Other aspects of this project could be further explored to have a larger impact on mass customization and personalized design. For example, the end-user inclusion in the design process needs to be improved, and its impact on the proposed framework and on the design process considered, so it is possible to provide a more inclusive design experience. Despite parametric parameters being pre-set by the designer, it is up to the customer/end-user to make the final decision on the details that give the product a unique character. As none of the eyewear may be the same, they could be described as one-off products, created with the help of software and computer iterations. On the other hand, the variations of similar eyewear forms, the limited production runs using 3D printing, and the involvement of the user in the design process may create a stronger relationship between the product and consumer. These factors along with the user's perception of a crafted creation are of interest as new emerging technologies such as AI (artificial intelligence) and IoT (internet of things) continue to further blur the boundaries between art, craft, and design. In this work, three main key elements were found to have a strong influence on the development of the parametric-based design framework for MC eyewear:  
* Human centred-based approach: Within a complex MC system, the uncovering of user and other stakeholders needs (e.g., designer) poses one of the biggest challenges. Therefore, human-centred design methods may bring a better understanding of the user needs in order to ease the implementation of MC strategies. * Technology appropriateness: In the process of personalised and mass customisation design of wearable products, convenient and accurate acquisition of users' body data has become a key factor for customisation design. The quality of this data relies mostly on technology appropriateness, setup, and user expertise. The user experience of the data acquisition in commercial setups is a factor that requires further research. * Real-time feedback: In the process of personalisation and mass customisation of eyewear, parametric design is an effective and flexible tool to quickly realise product design iterations and explore the meeting of some of the needs of different users by adjusting design parameters and getting users' real-time feedback.