@inproceedings {pub5567,
	title = {The cooperative card game {\textquotedblleft}Hanabi{\textquotedblright} as a research environment for human-human and human-AI collaboration
},
	author = {Christiane Attig AND Christiane Wiebel AND Patricia Wollstadt AND Thomas Franke},
	year = {2024},
	month = {September},
	abstract = {With disruptive innovations in the field of social AI (e.g., Large Language Models having voice abilities, AI agents being able to display false belief understanding), engineering psychology research needs to incorporate theories and paradigms of social psychology more strongly than ever. Indeed, empirical studies and theoretical frameworks from engineering psychology that focus on the interaction between humans and AI agents with cooperative and collaborative capabilities are rapidly emerging. However, many of these studies are (1) using settings that are limited in the level of collaboration between human and AI (i.e., tasks where AI supports human behavior rather than those with inherent interdependency) and (2) based on Wizard of Oz-paradigms (i.e., participants do not engage with actual AI agents). We propose a digital implementation of the card game Hanabi as a unique setting for studying human-human as well as human-AI collaboration that overcomes these constraints. Hanabi inherently demands collaborative play, with players navigating imperfect information through information exchange to approximate the goal of the game. The implementation can be used to investigate interaction of humans with rule-based and reinforcement learning-based agents as well as with other human players. We present first findings using the Hanabi setting to gain a deeper understanding of factors underlying successful collaboration, that is, perceived cooperativity, team perception, and dimensions of social perception (i.e., warmth and competence).},
	publisher = {Deutsche Gesellschaft f{\"u}r Psychologie (DGPs)},
	booktitle = {53rd DGPs Congress},
	city = {Vienna, Austria}
}