BibTex format

author = {Belpaeme, T and Baxter, PE and Read, R and Wood, R and Cuayáhuitl, H and Kiefer, B and Racioppa, S and Kruijff-Korbayová, I and Athanasopoulos, G and Enescu, V and Looije, R and Neerincx, M and Demiris, Y and Ros-Espinoza, R and Beck, A and Cañamero, L and Hiolle, A and Lewis, M and Baroni, I and Nalin, M and Cosi, P and Paci, G and Tesser, F and Sommavilla, G and Humbert, R},
doi = {10.5898/JHRI.1.2.Belpaeme},
journal = {Journal of Human-Robot Interaction},
pages = {33--53},
title = {Multimodal Child-Robot Interaction: Building Social Bonds},
url = {},
volume = {1},
year = {2013}

RIS format (EndNote, RefMan)

AB - For robots to interact effectively with human users they must be capable of coordinated, timely behavior in response to social context. The Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E) project focuses on the design of long-term, adaptive social interaction between robots and child users in real-world settings. In this paper, we report on the iterative approach taken to scientific and technical developments toward this goal: advancing individual technical competen- cies and integrating them to form an autonomous robotic system for evaluation “in the wild.” The first evaluation iterations have shown the potential of this methodology in terms of adaptation of the robot to the interactant and the resulting influences on engagement. This sets the foundation for an ongoing research program that seeks to develop technologies for social robot companions.
AU - Belpaeme,T
AU - Baxter,PE
AU - Read,R
AU - Wood,R
AU - Cuayáhuitl,H
AU - Kiefer,B
AU - Racioppa,S
AU - Kruijff-Korbayová,I
AU - Athanasopoulos,G
AU - Enescu,V
AU - Looije,R
AU - Neerincx,M
AU - Demiris,Y
AU - Ros-Espinoza,R
AU - Beck,A
AU - Cañamero,L
AU - Hiolle,A
AU - Lewis,M
AU - Baroni,I
AU - Nalin,M
AU - Cosi,P
AU - Paci,G
AU - Tesser,F
AU - Sommavilla,G
AU - Humbert,R
DO - 10.5898/JHRI.1.2.Belpaeme
EP - 53
PY - 2013///
SP - 33
TI - Multimodal Child-Robot Interaction: Building Social Bonds
T2 - Journal of Human-Robot Interaction
UR -
UR -
VL - 1
ER -