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 -