Robots in the wild: understanding long-term use
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
An affective guide robot in a shopping mall
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
How do you play with a robotic toy animal?: a long-term study of Pleo
Proceedings of the 9th International Conference on Interaction Design and Children
A communication robot in a shopping mall
IEEE Transactions on Robotics
Socializing with Olivia, the youngest robot receptionist outside the lab
ICSR'10 Proceedings of the Second international conference on Social robotics
Child-robot interaction in the wild: advice to the aspiring experimenter
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
How to sustain long-term interaction between children and ROBOSEM in english class
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Revive!: reactions to migration between different embodiments when playing with robotic pets
Proceedings of the 11th International Conference on Interaction Design and Children
Long-term interactions with empathic robots: evaluating perceived support in children
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Exploring influencing variables for the acceptance of social robots
Robotics and Autonomous Systems
Adaptive emotional expression in robot-child interaction
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Hi-index | 0.00 |
Interactive robots participating in our daily lives should have the fundamental ability to socially communicate with humans. In this paper, we propose a mechanism for two social communication abilities: forming long-term relationships and estimating friendly relationships among people. The mechanism for long-term relationships is based on three principles of behavior design. The robot we developed, Robovie, is able to interact with children in the same way as children do. Moreover, the mechanism is designed for long-term interaction along the following three design principles: (1) it calls children by name using radio frequency identification tags; (2) it adapts its interactive behaviors for each child based on a pseudo development mechanism; and (3) it confides its personal matters to the children who have interacted with the robot for an extended period of time. Regarding the estimation of friendly relationships, the robot assumes that people who spontaneously behave as a group together are friends. Then, by identifying each person in the interacting group around the robot, it estimates the relationships between them. We conducted a two-month field trial at an elementary school. An interactive humanoid robot, Robovie, was placed in a classroom at the school. The results of the field trial revealed that the robot successfully continued interacting with many children for two months, and seemed to have established friendly relationships with them. In addition, it demonstrated reasonable performance in identifying friendships among children. We believe that these results demonstrate the potential of current interactive robots to establish social relationships with humans in our daily lives.