Alexander Hahn

Alexander Hahn ist Professor an der Technischen Hochschule Nürnberg. Seine Forschung fokussiert sich auf Digital Empathy, Digital UX und Affective Computing. Er lehrt in Belgien, Frankreich, der Schweiz und Marokko. Er hat in weltweit führenden Marketing- und Innovations-Journals veröffentlicht und berät Startups und Corporates zu UX Research.

Alle Artikel von/mit Alexander Hahn

Generative Models as a Catalyst for Rapid Digital Prototyping

Rapid prototyping is essential for validating new ideas and marketing campaigns. However, many professionals are currently not able to create digital prototypes without designers and developers. Rapid digital prototyping using low-code and no-code tools now empowers them to develop and test prototypes on their own in the day-to-day business environment. These tools are now massively accelerated and extended by generative AI such as ChatGPT or Midjourney: Ideas, texts and images can be generated quickly and automatically. In this, rapid prototyping is a win-win situation for all parties involved; managers and employees and customers: Managers benefit from a scalable and efficient method of brand development, (potential) employees are able to independently and directly test product and service ideas in-house and users receive target group specific offers.