@inproceedings {pub4294,
	title = {The Role of Social Cues for Goal Disambiguation in Human-Robot Cooperation},
	author = {Samuele Vinanzi AND Angelo Cangelosi AND Christian Goerick},
	year = {2020},
	month = {August},
	abstract = {Social interaction is the new frontier in contemporary robotics: we want to build robots which blend with ease into
our daily, social environments, with their principles and rules. The cognitive skill that bootstraps social awareness in humans
is known as intention reading and allows us to interpret other agents actions and assign them meaning. Given its centrality
for humans, it is likely that intention reading will foster the development of robotic social understanding. In this paper, we
present a modification of our previous artificial cognitive architecture for intention reading in human-robot interaction (HRI)
that performs a low-level action encoding paired with a high-level probabilistic goal inference. This includes a new clustering
algorithm that has been developed to aggregate multisensory human postural data by performing several, hierarchical levels of
clustering and the use of a Bayesian network to perform inference on the intention being observed. The model has been validated
through an interactive HRI experiment involving a collaborative block placing game performed by a human and a robotic arm.
The results show that the artificial agent was capable of reading the intention of its partner and cooperate in joint action, thus
validating this novel algorithm and the use of our architecture on a more complex scenario, other than demonstrating the use
of intention reading in social HRI.},
	publisher = {IEEE},
	booktitle = {RO-MAN 2020}
}