Augmenting Autonomous Vehicular Communication Using the Appreciation Emotion: A Mamdani Fuzzy Inference System Model
2015 13th International Conference on Frontiers of Information Technology (FIT) (2015)
Dec. 14, 2015 to Dec. 16, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2015.40
Autonomous vehicle research has come of age with the advent of self-driving vehicles. While these vehicles have been developed currently as proof of concept, in reality, there is need for human-like behaviours in autonomous vehicle interactions. This research work addresses the utilization of gratitude emotion in order to enhance the coordination between so-called societies of Autonomous vehicles (AV) for better operations on the road. We have used the admiration emotion as defined by the Orton-Clore-Collins (OCC) model of emotions. We have computed local variables i.e. praiseworthiness and the deviation of appreciation emotion in the OCC model. A complete model based on a Fuzzy Inference System (FIS Mamdani) is presented. The model helps compute the admiration-intensity according to different AV -- AV interaction scenarios. This work lays foundation for enabling AVs to express appreciation emotions as part of interaction with each other as well as in developing better autonomous machines using a societal model.
Autonomous automobiles, Computational modeling, Hidden Markov models, Roads, Fuzzy logic, Motorcycles,OCC model, Autonomous Vehicles, Emotions, Fuzzy Logic, Gratitude
Faisal Riaz, Rehana Asif, Hina Sajid, Muaz A. Niazi, "Augmenting Autonomous Vehicular Communication Using the Appreciation Emotion: A Mamdani Fuzzy Inference System Model", 2015 13th International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 178-184, 2015, doi:10.1109/FIT.2015.40