Authors:
Yongkang Tang
1
;
Fangyan Dong
1
;
Mina Yuhki
1
;
Yoichi Yamazaki
2
;
Takanori Shibata
3
and
Kaoru Hirota
1
Affiliations:
1
Tokyo Institute of Technology, Japan
;
2
Kanto Gauin University, Japan
;
3
National Institute of Advanced Industrial Science and Technology (AIST), Japan
Keyword(s):
Keywords: Human Robot Interaction, Agent, Emotion Understanding, PARO.
Related
Ontology
Subjects/Areas/Topics:
Human-Machine Interfaces
;
Human-Robots Interfaces
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
Abstract:
The concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gesture/posture recognition, facial expression recognition, and speech/voice recognition), emotion understanding, intention understanding, and atmosphere understanding by applying customised knowledge of each agent and by taking considerations to careful attentions. It aims to not impose burden on humans in human-machine communication, to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally to create a peaceful, happy, and prosperous humans-robots society. A scenario is established to demonstrate several communication activities between a businessman and a secretary-robot/a human-boss/a waitress-robot/a human-partner/a therapy-robot (PARO) in one day.