TY - CONF
T1 - Children's Adaptation in Multi-session Interaction with a Humanoid Robot
T2 - 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication
Y1 - 2012
A1 - Nalin, Marco
A1 - Baroni, Ilaria
A1 - Kruijff-Korbayová, Ivana
A1 - Lola Cañamero
A1 - Lewis, Matthew
A1 - Aryel Beck
A1 - Cuayáhuitl, Heriberto
A1 - Alberto Sanna
AB - This work presents preliminary observations from a study of children (N=19, age 5–12) interacting in multiple sessions with a humanoid robot in a scenario involving game activities. The main purpose of the study was to see how their perception of the robot, their engagement, and their enjoyment of the robot as a companion evolve across multiple interactions, separated by one-two weeks. However, an interesting phenomenon was observed during the experiment: most of the children soon adapted to the behaviors of the robot, in terms of speech timing, speed and tone, verbal input formulation, nodding, gestures, etc. We describe the experimental setup and the system, and our observations and preliminary analysis results, which open interesting questions for further research.
JF - 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication
PB - IEEE
UR - http://ieeexplore.ieee.org/document/6343778/
N1 - Download
ER -
TY - JOUR
T1 - Multimodal Child-Robot Interaction: Building Social Bonds
JF - Journal of Human-Robot Interaction
Y1 - 2012
A1 - Tony Belpaeme
A1 - Paul E. Baxter
A1 - Robin Read
A1 - Rachel Wood
A1 - Cuayáhuitl, Heriberto
A1 - Kiefer, Bernd
A1 - Racioppa, Stefania
A1 - Kruijff-Korbayová, Ivana
A1 - Athanasopoulos, Georgios
A1 - Valentin Enescu
A1 - Rosemarijn Looije
A1 - Mark A. Neerincx
A1 - Yiannis Demiris
A1 - Raquel Ros-Espinoza
A1 - Aryel Beck
A1 - Lola Cañamero
A1 - Lewis, Matthew
A1 - Baroni, Ilaria
A1 - Nalin, Marco
A1 - Cosi, Piero
A1 - Giulio Paci
A1 - Tesser, Fabio
A1 - Sommavilla, Giacomo
A1 - Remi Humbert
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 competencies 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.
VL - 1
UR - https://dl.acm.org/doi/10.5555/3109688.3109691
IS - 2
N1 - Download (Open Access)
ER -