Typography Design Artificial Intelligence AITYDE

This platform is born out of a research framework exploring the interplay between typography, design, and artificial intelligence. It serves both as a journal and as a dynamic platform, fostering collaboration and innovation.

⚪ Artificial Intelligence ⚪ Machine Learning ⚪ Creative Coding ⚪ Generative Design
⚪ Interaction Design ⚪ Typography ⚪ User Interface Design ⚪ User Experience Design ⚪ Design Thinking

With the rapid development of machine learning applications, the practice of typography and design continues to undergo seismic change in a technologically-driven environment. Contrary to the pre-artificial intelligence era, when design elements were responsive seamlessly only to different screen sizes and devices, the advent of artificial intelligence has ushered in a new era of typographic refinement, where text and design elements can dynamically learn and adapt to user preferences and behavioral patterns in real-time on the device. This new synergy requires innovative methodological approaches that go beyond traditional frameworks of classical typographical and design. It involves a thorough exploration of personalized variable font settings for user behaviors, contextual awareness, adaptive layouts, conversational interactions, and personalized human-computer interaction.

In the era of artificial intelligence, designers have to reconsider typography and design within a broader ecosystem of designed experiences that exist, not only on screens, but beyond, in augmented, virtual and mixed reality environments. Such new forms may have the capacity to be intelligent, generative and responsive to a constant stream of audience and contextual data. If typography and design were the expressive design of words for maximum readability in print, what future forms of typography will emerge in an era of interactive social multimedia? Thus, the aim of the research is to investigate how artificial intelligence can be incorporated into design processes to develop, discover and evaluate new design opportunities in the era of smart and intelligent applications. This is the creative challenge presented by aityde.

My name is Kushtrim Hamzaj. I’m a user experience designer based in Munich, Germany. I work on the intersection of machine learning and UX design.

Kushtrim Hamzaj
Kushtrim Hamzaj Interaction Designer and PhD candidate

My name is Kushtrim Hamzaj, I am an interaction designer specialising in UX Design, UI Design, Typography, and design thinking. Currently, I am doing my PhD in interactive typography and machine learning methods “responsive type: exploring variable fonts in the era of machine learning (ML)” at the Bauhaus-Universität Weimar. My supervisors are Prof. Markus Weisbeck and Prof. Dr. Christof Windgätter. I am also part of the research project "Prof:inSicht" at the Munich University of Applied Sciences, where I am supporting the team on field of user experience design and programming.

In my work, I aim for researching, analysing, proposing, prototyping and teaching new processes and systems to influence the overall aesthetic, functionality, and user experience of visual communication. In my PhD project, I am researching the intersection of machine learning (ML) and variable fonts (VL) to influence the overall evolution of user interfaces from a non-intelligent design to a smart context-aware entity. To this end, I integrate pre-trained machine learning libraries such as faceapi.js and bodypose.js together with the common web technologies such as p5.js, processing, Javascript and APIs. I firmly believe that this groundbreaking fusion of ML and VF has the potential to revolutionize human-machine interaction across diverse domains (e.g., automotive, healthcare, education, and beyond).

Between 2017 and 2022, I collaborated with numerous startups and design agencies based in Munich. I worked as a junior designer with Martina Lewis at Brandcode, Munich, a design agency specializing in corporate identity and coding. From 2018 until the end of 2023, I worked as a User Experience (UX) and User Interface (UI) Designer for the Evernine Group and Söllner Communications, both communication consulting and full-service design agencies. During this time, I advised teams and companies on how to optimize their digital products and online presence. Clients included international companies such as Roll-Roys, Infineon and Kieback&Peter as well as Munich-based start-ups.

In addition to my professional expertise in interaction design, visual systems, and typography, I have spent the past several years teaching and contributing to various workshops and exhibitions at multiple universities. In June 2023, I led a three-day workshop entitled "Responsive Variable Typography" at the Bauhaus University in Weimar at the invitation of Deputy Professor Charlotte Rohde. During this workshop, I introduced both B.A. and M.A. students to machine learning techniques in graphic design and typography. In July 2023, I participated in the 28th colloquium entitled "Design Promoviert", organized by the German Society for Design Theory and Research (dgtf) at the Berlin University of the Arts (UDK). I was able to give a presentation on the topic of "UX Design in the Age of Machine Learning Applications" and take part in the subsequent panel discussion on "Creative ML". From May 2 to May 23, 2018, I led a three-week workshop for graphic design students at the University of Prishtina, supported by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). The name of the workshop was "Non-Original Genius - Design by Other Means in the Digital Age" and its aim was to explore alternative approaches to design.