Paper Info
Title
Contingency scaffolds language learning
Abstract
In human robot interaction the question how to communicate is an important one. The answer to this question can be approached through several perspectives. One approach to study the best way how a robot should behave in an interaction with a human is by providing a consistent robotic behavior. From this we can gain insights into what parameters are triggering what responsive behavior in an user. This method allows us as roboticists to investigate how we can elicit a specific behavior in users in order to facilitate robot's learning. In previous studies, we have shown how responsive eye gaze and feedback on a looming detection is modifying the human tutoring behavior [1]. In this paper, we present a study was carried out within the ITALK project. The study is targeting, how we can tune robotic feedback strategies of the iCub robot to evoke a tutoring behavior in a human tutor that is supporting a language acquisition system. We used a longitudinal approach for the study to also verify the verbal feedback given by the robot.
Year
DOI
Venue
2012
10.1109/DevLrn.2012.6400848
Development and Learning and Epigenetic Robotics
Keywords
Field
DocType
behavioural sciences computing,control engineering computing,feedback,human-robot interaction,humanoid robots,learning (artificial intelligence),ITALK project,contingency scaffolds language learning,eye gaze responsiveness,human interaction,human robot interaction,human tutoring behavior,iCub robot,language acquisition system,responsive behavior,robot learning,robotic behavior,robotic feedback,verbal feedback
Robot learning,Social robot,Robot control,iCub,Computer science,Personal robot,Artificial intelligence,Mobile robot,Human–robot interaction,Humanoid robot
Conference
ISSN
ISBN
Citations 
2161-9484
978-1-4673-4963-5
2
PageRank 
References 
Authors
0.38
4
4
Name
Order
Citations
PageRank
Katrin Solveig1133.19
Rohlfing, K.220.38
Saunders, J.320.38
Nehaniv, C.420.38