Human decision making is central in many functions across a broad spectrumof fields including marketing, investments and smart contracts, digital health,political campaigns, logistics, and strategic management to name only a few.Computational behavioral science, the focus of the proposed workshop, notonly studies the various psychological, cultural, and social factors contributingto decision making besides reasoning, but it also seeks to construct robust,scalable, and efficient computational models imitating or extending this way ofdecision making. It should be highlighted here that computational behavioralscience does not negate the rationality axioms of classical economic theorybut rather extends them. Computational behavioral science can evaluate theindividual or collective decision making processes in massive populations withsignal estimation or deep learning techniques based on a wide array ofattributes ranging from social media posts and multimedia to physiologicalsigns and neuroimaging results. Additionally, time dependent decision makingprocesses can be understood and processed in a signal processing contextand even tracked with input-output or state space models. As dispositiontowards alternative decisions may well change over time, this is a majoradvantage compared to traditional decision making analysis. So far the primaryfindings in the field are concepts like bounded rationality and perceived risk,while results include optimal strategies for various levels of informationawareness and action strategies based on perceived loss aversion principleswhich have been successfully applied to many situations. THECOG for a second continuous year will be a central meeting point for researchers forgenerating new interdisciplinary and groundbreaking results.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers
• Short papers
• Posters

List of Topics

• Affective state in social media beyond emotional polarity​
• Behavioral economics and deep learning​
• Bounded rationality estimation techniques and computational models
• Case​ ​​​​​​​​​​​studies of behavioral economics
• Computational affective models
• Data-driven approaches for strategy recommendation
• Deep learning strategies for training nudge theory models
• Distributed approaches to computing public sentiment at massive scale
• Graph neural networks for assessing sentiments in social graphs
• Higher order sentiment metrics
• Information augmentation through social media and crowdsourcing
• Semantics for Barnum statement and affective state discovery
• Natural language processing for aspect mining
• Nudge theory based strategies for brand loyalty and social media campaigns
• Risk estimators based on perceptive criteria and incomplete information

Organizers

• Prof. Eleanna Kafeza, Zayed University
• Dr. Georgios Drakopoulos, Ionian University

Invited Speaker

• Dr. Anthony Tzes, Professor and Program Head of the Electrical Engineering program at New York University Abu Dhabi (NYUAD).

Dr. Anthony Tzes is Professor and Program Head of the Electrical Engineering (EE) program at New York University Abu Dhabi (NYUAD). He is also the Director of the Center for Artificial Intelligence and Robotics. Prior to this, he was a member of the Governing Council of University of Patras (UPAT) in Greece and Professor and Head of the Electrical and Computer Engineering at UPAT. He was the director of UPAT’s graduate program in Biomedical Engineering (2015-7). He is a graduate of UPAT (1985) and has received his doctorate from the Ohio State University in 1990. From 1990 till 1999 he was (tenured associate professor) with NYU’s Tandon School of Engineering.

He has been the national representative (2006-9) to EU’s FP7’s thematic area “Regions of Knowledge, Research Potential and Coherent Development of Policies”. He has served in various positions (Program Chairman (MIM ’00), Organizing Committee Chairman (ECC’07), General Chairman (MED2011 and ICUAS2020), Program Chairman (MED2015)), and as IPC-member at several international conferences.

His research interests include Cooperative Control of Networked UAVs, Surgical Robots, Mechatronics, and Control engineering applications. Prof. Tzes has received research funding from various organizations including NASA, the National (U.S.) Science Foundation, the European Union (Horizon2020), and the European Space Agency (ESA).

He has authored more than 85(250) papers published in international journals(conferences). He has received various awards as co-author of published articles including the best paper published in 2014 in IET Control, Theory & Applications and the ECC 2003 IST Prize Award. He has served in the editorial board of several journals (e.g. IEEE Control Systems Magazine, Circuits Systems and Computers, and Journal of Intelligent and Robotic Systems.

Program

The following times are in the EDT time zone, Friday, October 21st. Venue room will be Augusta A. Alternatively, you can connect through Underline.

• 13:00 - 13:20 "Human-Robot Interactions Using Affective Computing" - Keynote speech, Anthony Tzes
• 13:20 - 13:40 "Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors", Dickson K. W. Chiu
• 13:40 - 14:00 "Towards a Real-Time Emergency Response Model for Connected and Autonomous Vehicle", Patrick Hung
• 14:00 - 14:20 "Deepfake Audio Detection via Feature Engineering and Machine Learning Model", Farkhund Iqbal
• 14:20 - 14:40 "Estimating The MBTI Type Of Twitter Accounts With Graph Neural Networks Over Neo4j", Georgios Drakopoulos
• 14:40 - 15:00 "Extreme learning machines for efficient speech emotion estimation in Julia", Georgios Drakopoulos
• 15:00 - 15:20 "Graph Neural Networks For Affective Social Media: A Comprehensive Overview", Michalis Karavokyris

Publication

THECOG 2022 proceedings will be part of the joint volume containing the respective proceedings of the CIKM 2022 workshops.

Contact

Dr. Georgios Drakopoulos - c16drak [at] ionio [dot] gr