@misc {pub6329,
	title = {How to quantify (successful) human-AI cooperation?},
	author = {Christiane Wiebel},
	year = {2025},
	month = {July},
	abstract = {
Cooperation is omnipresent in nature, from simple organisms that live in symbiosis to the creation of complex human societies. Recent research in AI-driven technology has claimed that AI systems need to learn to engage in cooperative interactions with humans, as well, to be successfully adopted in the future (Dafoe, 2020, 2021). However, what counts as {\textquotedblleft}successful{\textquotedblright} human-AI cooperation from the human perspective
remains an open question. In this talk, I will review recent developments in AI teaming intelligence research and highlight the need for novel approaches to formally describe and quantify human-AI cooperation (Jarrasse, 2013; Bengler, 2012; Sciutti, 2012), quantitatively and qualitatively. I will present some of our recent work tackling the question how to investigate and measure the subjective experience of successful cooperation from a human perspective, as well as  introduce a novel approach to objectively quantify cooperative interactions in HMI using measures from information theory.},
	publisher = {presentation in university colloquium only},
	booktitle = {Research Colloquium in the lab of "Interactive Robotics in Medicin and Healthcare" (Anna- Lisa Vollmer), Uni Bielefeld}
}