@article {PUBA294,
	title = {Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning},
	author = {Anna-Lisa Vollmer AND Manuel M{\"u}hlig AND Jochen Steil AND Karola Pitsch AND Jannik Fritsch AND Katharina Rohlfing AND Britta Wrede},
	year = {2014},
	month = {March},
	abstract = {Robot learning by imitation requires the detection of a tutor{\textquoteright}s action demonstration and its relevant parts. Current
approaches implicitly assume a unidirectional transfer of knowledge from tutor to learner. The presented work challenges
this predominant assumption based on an extensive user study with an autonomously interacting robot. We show that by
providing feedback, a robot learner influences the human tutor{\textquoteright}s movement demonstrations in the process of action
learning. We argue that the robot{\textquoteright}s feedback strongly shapes how tutors signal what is relevant to an action and thus
advocate a paradigm shift in robot action learning research toward truly interactive systems learning in and benefiting from
interaction.},
	publisher = {Public Library of Science},
	journal = {PLoS ONE},
	volume = {9},
	number = {3},
	pages = {e91349}
}