Human-AI Interaction Center

Advancing Human-AI Interaction

The Human-AI Interaction Center (HAII) coordinates and advances research across academic units in human-AI interaction and human-robot interaction (HRI).

Advancing Human-AI Interaction

The Human-AI Interaction Center (HAII) coordinates and advances research across academic units in human-AI interaction and human-robot interaction (HRI).

The HAII Center develops and uses AI technology for improving the long-term autonomy and interaction capabilities of future AI systems, embodied and disembodied, that are embedded in human societies such as virtual agents based on foundation models (e.g., personal cognitive assistants on smart devices, advisor systems, large generative AI language models like ChatGTP, etc.) or assistive robots (e.g., for elder care, search and rescue, surveillance, manufacturing, health monitoring).

The employed technologies encompass various AI approaches (e.g., generative AI for language understanding and common sense, deep neural networks for perception and reinforcement learning, symbolic reasoning for task planning, hybrid methods for natural language understanding, etc.) to control the behavior of fully autonomous virtual and robotic agents and their interactions with humans. Novel methods and technologies are evaluated in human-AI interaction experiments to determine their suitability and utility.  Most critically, the HAII Center has a focus on ethical AI and thus aims to establish the norm-confirming nature of all developed technologies.

Matthias Scheutz
Director of the Human-AI Interaction Center
Karol Family Applied Technology Professor

Matthias Scheutz has over 400 peer-reviewed publications in artificial intelligence, artificial life, agent-based computing, natural language understanding, cognitive modeling, robotics, human-robot interaction and foundations of cognitive science. His current research focuses on complex ethical cognitive robots with natural language interaction, problem-solving, and instruction-based learning capabilities in open worlds.

Students and Professor Matthias Scheutz interact with robots in a lab.

Publications and Grants