Paper Info
Title
Augmenting Autonomous Vehicular Communication Using the Appreciation Emotion: A Mamdani Fuzzy Inference System Model.
Abstract
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.
Year
DOI
Venue
2015
10.1109/FIT.2015.40
FIT
Keywords
Field
DocType
Autonomous Vehicles, Emotions, Fuzzy Logic, Gratitude, OCC model
Computer science,Fuzzy logic,Proof of concept,Gratitude,Admiration,Artificial intelligence,Local variable,Fuzzy inference system
Conference
ISSN
Citations 
PageRank 
2334-3141
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Faisal Riaz1236.03
Rehana Asif200.34
Hina Sajid300.34
Muaz A. Niazi417724.55