Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

Machine learning in decision support systems already outperforms pre-existing statistical
methods. However, their predictions face challenges as calculations are often complex and …

Intelligent process automation (IPA) augments symbolic process automation using artificial
intelligence. Emulating human decision-making, IPA enables the execution of complex …

We conducted an exploratory study to test the delivery of technical instructions built on the
principles of minimalism. The aim was to investigate how we could support target users' skill …

The progress in the research field of machine learning is fast-paced and it is most noticeable
in terms of prediction performance. However, there seems to be a lack of understanding of …

Due to computational advances in the past decades, so-called intelligent systems can learn
from increasingly complex data, analyze situations, and support users in their decision …

The main goal of this dissertation is to explore the benefits of extended reality for technical
communication. Both of these fields offer opportunities and also pose challenges to each …

Künstliche Intelligenz (KI) dringt vermehrt in sensible Bereiche des alltäglichen
menschlichen Lebens ein. Es werden nicht mehr nur noch einfache Entscheidungen durch …

The rapid adoption of artificial intelligence (AI) technologies is transforming enterprises and
challenging established paradigms, reshaping the landscape of business operations …

Intelligent process automation is a technological innovation that combines symbolic
automation tools with machine learning. Intelligent process automation can automate …