In user research, UX researchers are interested in understanding peoples’ attitudes, common behaviors, and how people think and associate certain things. In traditional usability engineering, researchers create a list of tasks, and testing them with users to find errors, slow task times, statements of frustration, and the need for assistance. Design for experiences though is about the meaning people are looking for on their tasks, activities, and interactions. This talk proposes using AI to support UX research and design.

Artificial Intelligence and its avatars have arrived in our everyday life. They are also indispensable for the future of mobility. We at icon incar are imagining the representations of these ubiquitous assistants as something more than simple command receivers, but real companions that humans can bond with. Because in an environment where safety has the highest priority, it is all about trust and confidence.

Kreieren Sie mit einer neuen Kreativ-Methoden innovative Produkte und Services, die zeitgemäß und nachhaltig sind. Frieda Preuß wird Ihnen eine Methode vorstellen, die im Rahmen der ``creatables-Konferenz`` ausgearbeitet wurde.

Künstliche Intelligenz (KI) wird zukünftig verstärkt in kritischen Bereichen wie Mobilität oder dem Gesundheitssystem eingesetzt werden. Die weitreichenden Auswirkungen auf verschiedenste Nutzergruppen (Entwickler, Entscheidungsträger, betroffene Personen, etc.) verlangt von diesen Systemen ihre Entscheidungen transparent und erklärbar darzulegen („Explainable AI“). Da die bisherige Forschung in diesem Bereich stark von Entwicklern und KI-Experten getrieben wurde, werden in diesem Workshop mögliche Methoden und Messverfahren für nutzerzentrierte Ansätze diskutiert

The creators of future artificial intelligence products are already among us, learning in our classrooms. Are we ready to properly assess and guide our students in their paths towards creating the products of tomorrow? In our talk, we propose exploring the pillars of reliable AI experiences that provide value to users.

Chatbots in customer service regularly exceed their limit, which requires to handover the request to a human service representative. To improve the user experience during the resulting waiting time, we developed and evaluated two chatbot prototypes that translate the concepts of “time fillers” and “time and queue information”, which are beneficial in physical waits, into the digital environment. Results confirm the potential of these concepts to enhance the user experience during chatbot waits.