AI and Computational Psychology: Theories, Algorithms and Applications (CompPsy)

Description

Artificial Intelligence (AI) and Psychology are deeply interconnected and have been influencing each other’s development. On the one hand, creating artificial beings that can truly think and behave like humans requires the understanding of human psychology and the use of such understanding to develop better AI agents. On the other hand, given the complexity of human minds and their manifestation of behavioral flexibility, it requires state-of-the-art AI technologies including Machine Learning and Data Mining to analyze huge amounts of human behavioral evidence and model the complexity of human minds to better understand, predict and influence human behavior.

Driven by the complementary nature of applying AI and Machine Learning (ML) techniques to achieve a better understanding of human psychology and building intelligent AI agents that can truly understand and collaborate with humans, our proposed workshop aims at covering two highly related research themes:

1. Developing novel AI/ML techniques to model, analyze and predict the psychological characteristics and behavior of humans (e.g., personality, trust, empathy, self-control, stress, emotion, attitude, morality, and decision-making) from large, rich and diverse data sources (e.g., social media, sensors, text and conversations).
2. Developing realistic AI agents enhanced with psychological insights (e.g., empathetic, trustworthy, responsible, and hyper-personalized AI agents tailored to individual traits and behavior) to facilitate better human-computer interaction and collaboration.