ACM/IEEE HRI 2022 Workshop on
Modeling Human Behavior
in Human-Robot Interactions
Many of the challenges faced by research in human-robot interaction (HRI) require understanding of human behaviour. At a minimum, researchers need to possess this understanding to design suitable robots and/or interactions but it may also be that the robot itself needs to possess something approximating such understanding; for example, to understand intentions behind human actions or decide what robot action is most suitable in a context.
Behavioral models, i.e., formalized descriptions of behavior, are a powerful tool to develop understanding of humans and predict their behavior. We therefore believe there is a need in HRI to model human behaviour, yet this is not always made explicit and the full implications of having to understand and model human behaviour are not always fully explored.
This fully online workshop is a part of the ACM/IEEE 2022 International Conference on Human-Robot Interaction. The main goals of the workshop are
To raise awareness of the benefits of modeling and expose the HRI community to a variety of different modeling approaches
To facilitate the HRI researchers who already engage in modeling to exchange views on methodology of modeling and best practices from diverse fields
The themes covered by the workshop include (but are not limited to):
Why model? How can modeling humans can help us understand and create better human-robot interactions?
How to model? What kind of models are useful for which HRI contexts (physical/cognitive interactions) and purposes (behavior prediction/personalization/theory-of-mind/etc.)? How to determine the right level of modeling (behavioral/cognitive/neural)? How do we validate our human models?
Finding common ground in diverse research fields: Lessons learned from applications of human modeling to HRI in traffic, retail, healthcare, social robots, etc.
HRI as a window on human behavior: How can modeling humans in HRI tasks help us to better understand human cognition/behavior?