@inbook {77, title = {Grounding a Sociable Robot{\textquoteright}s Movements in Multimodal, Situational Engagements}, booktitle = {New Frontiers in Artificial Intelligence}, year = {2014}, pages = {267-281}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, abstract = {

To deal with the question of what a sociable robot is, we describe how an educational robot is encountered by children, teachers and designers in a preschool. We consider the importance of the robot{\textquoteright}s body by focusing on how its movements are contingently embedded in interactional situations. We point out that the effects of agency that these movements generate are inseparable from their grounding in locally coordinated, multimodal actions and interactions.
}, keywords = {Artificial Intelligence (incl. Robotics), Computer Appl. in Administrative Data Processing, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Mathematical Logic and Formal Languages}, issn = {978-3-319-10060-9, 978-3-319-10061-6}, url = {http://link.springer.com/chapter/10.1007/978-3-319-10061-6_18}, author = {Ala{\v c}, M. and Movellan, J. and Malmir, M. and Nakano, Y. and Satoh, K. and Bekki, D.} } @article {67, title = {Foundations for a New Science of Learning}, journal = {Science}, volume = {325}, year = {2009}, pages = {284-288}, chapter = {284}, abstract = {

Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared with those of other species. Homo sapiens is also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices.

}, author = {Meltzoff, A. and Kuhl, P. and Movellan, J. and Sejnowski, T.} }