Human-Robot Interactions Using Affective Computing

Affective human robot interaction (HRI) is quite complex since the robot interacts not only with the human but also with the environment. Providing robots with emotional intelligence is critical in this field but also achieving public acceptance and trust from the public when using robots is another challenge. Robots should infer and interpret human emotions and behave in a trusted way ensuring safety. Since affective HRI aims at the system development that use emotions, it requires knowledge from fields like computer science, psychology, and cognitive science. An affective autonomous robot interacts with humans using affective technologies to detect emotions. Despite the fact that a typical robot-platform has embedded several attributes like perception, decisions, and actions it is quite difficult to detect human emotions as well as to behave in a re-assuring manner.