@article {PUBA285,
	title = {Robot Feedback shapes the tutor{\textquoteright}s presentation. How a robot{\textquoteright}s online gaze strategies lead to micro-adaptation of the human{\textquoteright}s conduct},
	author = {Karola Pitsch AND Anna-Lisa Vollmer AND Manuel M{\"u}hlig},
	year = {2013},
	abstract = {The paper investigates the effects of a humanoid robot{\textquoteright}s online feedback during a tutoring situation in which a human demonstrates how to make a frog jump across a table. Motivated by micro-analytic studies of adult-child-interaction, we investigated whether tutors react to a robot{\textquoteright}s gaze strategies while they are presenting an action. And if so, how they would adapt to them. Analysis reveals that tutors adjust typical {\textquotedblleft}motionese{\textquotedblright} parameters (pauses, speed, and height of motion). We argue that a robot {\textendash} when using adequate online feedback strategies {\textendash} has at its disposal an important resource with which it could pro-actively shape the tutor{\textquoteright}s presentation and help generate the input from which it would benefit most. These results advance our understanding of robotic {\textquotedblleft}Social Learning{\textquotedblright} in that they suggest to consider human and robot as one interactional learning system.},
	publisher = {John Benjamins Publishing Company},
	journal = {Interaction Studies Special Issue: Asymmetry and adaptation in social interaction A micro-analytic perspective},
	editor = {Kerstin Dautenhahn et al.},
	volume = {14},
	number = {2},
	pages = {268--296},
	series = {Interaction Studies}
}