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Modeling Affect in Socially Interactive Robots

Rachel Kirby, Reid Simmons, and Jodi Forlizzi
Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN06), September, 2006, pp. 558-563.

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Abstract

Humans use expressions of emotion in a very social manner, to convey messages such as ?? happy to see you?or ? want to be comforted,?and people? long-term relationships depend heavily on shared emotional experiences. We believe that for robots to interact naturally with humans in social situations they should also be able to express emotions in both short-term and long-term relationships. To this end, we have developed an affective model for social robots. This generative model attempts to create natural, human-like affect and includes distinctions between immediate emotional responses, the overall mood of the robot, and long-term attitudes toward each visitor to the robot. This paper presents the general affect model as well as particular details of our implementation of the model on one robot, the Roboceptionist.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center Associated Lab(s) / Group(s): Reliable Autonomous Systems Lab and Human-Robot Interaction Group Associated Project(s): Social Robots Number of pages: 6

Text Reference

Rachel Kirby, Reid Simmons, and Jodi Forlizzi, "Modeling Affect in Socially Interactive Robots," Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN06), September, 2006, pp. 558-563.

BibTeX Reference

@inproceedings{Kirby_2006_5539,    author = "Rachel Kirby and Reid Simmons and Jodi Forlizzi",    title = "Modeling Affect in Socially Interactive Robots",    booktitle = "Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN06)",    pages = "558-563",    month = "September",    year = "2006", }