Thursday 28th of March 2024
 

Effect of emotional feedback in a decision-making system for an autonomous agent


Javier G. Rázuri, David Sundgren, Rahim Rahmani, Aron Larsson and Antonio Moran Cardenas

The point of view of Isaac Asimov is unlikely in a close future, but machines that develop tasks in a sensible manner are already a fact. In light of this remark, recent research tries to understand the requirements and design options that imply providing an autonomous agent with means for detecting emotions. If we think about of exporting this model to machines, it is possible that they become capable to evolve emotionally according to such models and would take part in the society more or less cooperatively, according to the perceived emotional state. The main purpose of this research is the implementation of a decision model affected by emotional feedback in a cognitive robotic assistant that can capture information about the world around it. The robot will use multi-modal communication to assist the societal participation of persons deprived of conventional modes of communication. The aim is a machine that can predict what the user will do next and be ready to give the best possible assistance, taking in account the emotional factor. The results indicate the benefits and importance of emotional feedback in the closed loop human-robot interaction framework. Cognitive agents are shown to be capable of adapting to emotional information from humans.

Keywords: Detection of Emotional Information, Affective Computing, Facial Expression Recognition, Artificial Neural Network, Adversarial Risk Analysis, Broaden and Build Theory

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ABOUT THE AUTHORS

Javier G. Rázuri
is currently a researcher at the Department of Computer and System Sciences, Stockholm University. He was a researcher and Phd student of Department of Statistics and Operations Research at Universidad Rey Juan Carlos and Acting developer of the Affective computing department in AISoy Robotics. In 1995, he received with honors the Bachelor of electronic engineering degree at Peruvian University of Applied Sciences (UPC) in Perú. In 2007, he received a Master's Degree in Business Management at IEDE - Business School of European University of Madrid. In 2008, he received a Master's Degree in Decision Systems Engineering at Universidad Rey Juan Carlos. From 2008, he was a researcher in several projects financed for the university and the European Union focused on Robotics and decision-making related to EU higher education. His research interests are related with, Affective computing, emotional decision making, Human-machine interaction, Robotics, Human Robotics, Robotics and Autonomous Systems, Neuroscience, Sentiment analysis, in order to reproducing behavior patterns similar to human and provide to the agents a type of emotional intelligence and improve the interaction experience making more close the loop human-robot emotional interaction.

David Sundgren
He received his Doctoral degree in Computer and Systems Sciences from Stockholm University in 2011. He worked as lecturer at University of Gavle. He defended the thesis on "Apparent Arbitrariness of Second-Order Probability Distributions", dealing with uncertain probabilities. He is currently a researcher at the Department of Computer and System Sciences, Stockholm University.

Rahim Rahmani
He is an Associate Professor of Computer Science, focusing on QoS and optimization for management of cloud computing infrastructure and wireless sensor networks, such as OpenFlow. He earned a technical doctorate at the Mid Sweden University in adaptive Active Queue Management (AQM) algorithms for access routers in heterogeneous networks. He has served as reviewer and in technical committees of international conferences. He is a member of the editorial board of International Journal of Wireless Networking and Communications.

Aron Larsson
He has his PhD degree in Computer and Systems Sciences and is currently a researcher at the Department of Information and Media, Mid Sweden University as well as the Department of Computer and System Sciences, Stockholm University. His main research interest is the use of computer-based decision analysis and process models in complex decision making in which risks, uncertainties and trade-offs exist. Aron is the coordinator for the DECIDE Research Group at Stockholm University and leads the research RDALAB at Mid Sweden University. He has developed and applied risk and decision analytical methods for the paper industry, municipal decision-making problems, international mine clearance efforts and disaster preparedness. Aron is also active in the spin-off company Preference AB, which maintains the decision analysis software DecideIT.

Antonio Moran Cardenas
He has his PhD degree in Engineering from TUAT, Japan. His research interests include intelligent systems design based on the integration of neural networks, fuzzy logic and genetic algorithms applied to autonomous control engineering, robotics, systems modeling and other applications.


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