This workshop brings together the German HCI community from research and industry to gather experiences and perspectives on the use of generative Artificial Intelligence (GenAI). This workshop aims to draw on individual experiences using GenAI in different HCI research or industry projects. By collecting the expertise from different stakeholders, we will identify existing practices and success stories for integrating GenAI into the HCI research cycle. The goal is to highlight individual approaches and create a practical insights report. This report synthesizes the collective experiences and practical insights with detailed examples of personal best practices for the wider HCI community.
We welcome participants and contributions from the whole spectrum of the HCI community: Researchers, interaction designers, visual artists, product developers, etc., who might provide their experience on leveraging the GenAI potential. Participants are requested to submit a position paper, which, upon acceptance, will be published on the website and included in the Practical Insights Report. Many different use cases and innovative approaches in using GenAI have emerged that have changed how we currently conduct HCI research. This workshop aims to bring the community together to share experiences and best practices that can shape guidelines and new approaches of including tools like ChatGPT to research practices and interactive systems. One of the workshop's objectives is to create a practical insights report on different work practices and allow the exchange of alternative approaches and creative workarounds.
9:00 – 9:45
by Uwe Gruenefeld
9:45 – 10:30
10:30-11:00
moderated by Fiona Draxler & Anastasiya Zakreuskaya
11:00-12:30
12:30-14:00
moderated by Sven Mayer & Thomas Kosch
14:00 – 15:30
15:30-16:00
moderated by Tobias Münch
16:00-17:00
17:00-17:30
From 17:30
Dr. Uwe Gruenefeld, CTO and Co-founder of the Startup GenerIO.ai, will talk about the transformative potential of generative artificial intelligence and the critical importance of user control. At GenerIO.ai, the mission is to empower non-professional 3D artists to create high-quality 3D models effortlessly. Through various customer stories, Dr. Gruenefeld will demonstrate the diverse applications and benefits of easy-to-use 3D modeling. After that, the talk will address the limitations of text-based media creation. While text is ideal in the context of Large Language Models (LLMs), text alone cannot accurately convey the complexities needed for generating images, videos, and 3D models due to ambiguity and imprecision. Dr. Gruenefeld will highlight open-source solutions for image generation and demonstrate various control methods within these technologies to enhance user experience and output quality. A brief demonstration featuring ComfyUI will be included, providing easy-to-follow examples to equip attendees with the skills to apply generative AI to their problems effectively. The talk will end with insights into the future of media generation, discussing emerging trends and technologies that will further empower users in the creative process.