Cognitive Modeling of Intrinsic Motivation for Long-Term Interaction

Abstract

In the field of Human-Agent Interaction (HAI), continuation of interaction is one of the main areas of research. If the behavior of the agent is too predictable, humans stop interacting with it when they get bored. In this study, we aim to build agents that people want to keep interacting with, by employing the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture. As a preliminary step, we attempt to clarify the conditions required to maintain interaction between humans and agents, by modeling the experiences of fun and boredom based on intrinsic motivation.