Generative artificial inTElligence in
interactive systems

Experiences from the Community

Join our workshop at Mensch und computer 2024
01.09.2024 in Karlsruhe

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.

Program (Preliminary))

Opening of the workshop

9:00 – 9:45

Keynote

Beyond Language: Users in Control of Media Generation

by Uwe Gruenefeld

9:45 – 10:30

Coffee break

10:30-11:00

Session I

Experience on using GenAI in HCI research

moderated by Fiona Draxler & Anastasiya Zakreuskaya

11:00-12:30

Lunch break

🍽

12:30-14:00

Session II

Talks and Demos by Participants

moderated by Sven Mayer & Thomas Kosch

14:00 – 15:30

Coffee break

15:30-16:00

Session III

Outlook on future GenAI interactions

moderated by Tobias Münch

16:00-17:00

Wrap up

17:00-17:30

Evening Event

🧉

From 17:30

Keynote:
Beyond Language: Users in Control of Media Generation

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.

Meet the organizers

Université Paris-Saclay,
       CNRS, Inria Saclay
Münch Ges. für IT-Solutions mbH
Fraunhofer Institute for
Digital Medicine MEVIS
LMU Munich
German Center for
Artificial Intelligence (DFKI) and RPTU
TU Bergakademie Freiberg
University of Mannheim
University of Trier
University of Duisburg-Essen and GenerIO.ai
Furtwangen University
University of Duisburg-Essen and GenerIO.ai
Université Paris-Saclay,
       CNRS, Inria Saclay
University of Bayreuth
HU Berlin