@inproceedings {3, title = {An Embodied AI Approach to Individual Differences: Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot}, booktitle = {Proc. 7th International Conference on Social Robotics (ICSR-2015)}, series = {Lecture Notes in Computer Science}, year = {2015}, note = {Download (or Download authors{\textquoteright} draft)}, pages = {401{\textendash}410}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Paris}, abstract = {In this paper we discuss how a motivationally autonomous robot, designed using the principles of embodied AI, provides a suitable approach to address individual differences of children interacting with a robot, without having to explicitly modify the system. We do this in the context of two pilot studies using Robin, a robot to support self-confidence in diabetic children.}, isbn = {978-3-319-25553-8}, doi = {10.1007/978-3-319-25554-5_40}, url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-25554-5_40}, author = {Lewis, Matthew and Oleari, Elettra and Pozzi, Clara and Lola Ca{\~n}amero}, editor = {Tapus, Adriana and Andr{\'e}, Elisabeth and Martin, Jean-Claude and Ferland, Fran{\c c}ois and Ammi, Mehdi} } @inproceedings {2015, title = {A Reactive Competitive Emotion Selection System}, booktitle = {Proc. 7th International Conference on Social Robotics (ICSR-2015)}, series = {Lecture Notes in Computer Science}, year = {2015}, note = {Download}, pages = {31{\textendash}40}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Paris}, abstract = {We present a reactive emotion selection system designed to be used in a robot that needs to respond autonomously to relevant events. A variety of emotion selection models based on "cognitive appraisal" theories exist, but the complexity of the concepts used by most of these models limits their use in robotics. Robots have physical constrains that condition their understanding of the world and limit their capacity to built the complex concepts needed for such models. The system presented in this paper was conceived to respond to "disturbances" detected in the environment through a stream of images, and use this low-level information to update emotion intensities. They are increased when specific patterns, based on Tomkins{\textquoteright} affect theory, are detected or reduced when it is not. This system could also be used as part of (or as first step in the incremental design of) a more cognitively complex emotional system for autonomous robots.}, keywords = {Emotion production, Emotional models, Human Robot Interaction, Social robotics}, isbn = {978-3-319-25553-8}, doi = {10.1007/978-3-319-25554-5_4}, url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-25554-5_4}, author = {Angel Fernandez, Julian M. and Bonarini, Andrea and Lola Ca{\~n}amero}, editor = {Tapus, Adriana and Andr{\'e}, Elisabeth and Martin, Jean-Claude and Ferland, Fran{\c c}ois and Ammi, Mehdi} }