Conclusion and Future Work

With the final implementation of the use case, it can be stated that the proposed synergy of variable fonts and machine learning can significantly improve the personalization of digital interfaces in a practical context. While initial feedback on the use case was positive, further research is required to evaluate the effectiveness of variable fonts in adaptive design environments. This includes techniques such as, usability testing, A/B testing, task performance analysis, think-aloud protocols, eye-tracking studies, semi-structured interviews and diary studies to gather insights about each case independently. These tests could further reveal user perceptions and contextual usage insights on how designers perceive each use case.

References:

Udall, A. (2019). How ultrasound sensing makes Nest displays more acces-
sible. Retrieved 2025-07-03, from https://blog.google/products/google
-nest/ultrasound-sensing/

Youn, M.-A., Lim, Y., Seo, K., Chung, H., & Lee, S. (2021). Forensic Analysis for
AI Speaker with Display Echo Show 2nd Generation as a Case Study. Forensic
Science International: Digital Investigation, 38 , 301130. doi: 10.1016/j.fsidi
.2021.301130