Designing Sociable Robots
Describing the emotional states that are expressed in speech
Speech Communication - Special issue on speech and emotion
The production and recognition of emotions in speech: features and algorithms
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
How appearance of robotic agents affects how people interpret the agents' attitudes
Proceedings of the international conference on Advances in computer entertainment technology
How people anthropomorphize robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Robust processing of situated spoken dialogue
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Expressive gibberish speech synthesis for affective human-computer interaction
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
How to use non-linguistic utterances to convey emotion in child-robot interaction
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Situational context directs how people affectively interpret robotic non-linguistic utterances
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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This paper presents a survey in which participants were asked to interpret non-linguistic utterances made by two different types of robot, one humanoid robot and one pet-like robot. The study set out to answer the question of whether the interpretation of emotions differed across types of robots, participant parameters and classes of utterance. We found that both male and female subjects were consistently more coherent in interpreting human over animal utterances, and animal over technological utterances. This held true with regard to the emotional and intentional interpretation, as well as the perception of appropriateness of a particular utterance with respect to a particular type of robot. We also found that males and females frequently differed significantly in their emotional and intentional interpretations of utterances. Finally, our results indicate that the morphology of a robot influences peoples judgment of what class of utterance is deemed appropriate for a particular type of robot.