Self Motivation

Self-motivation, the internal drive to pursue goals, is a complex phenomenon increasingly investigated through computational lenses. Current research focuses on modeling the interplay between motivations, emotions, and actions using graph-based frameworks and large language models (LLMs), often incorporating techniques like reinforcement learning and adaptive prompting to enhance agent performance and generate diverse motivational messages. This work aims to improve understanding of self-motivation's underlying mechanisms and develop effective computational tools for applications such as personalized education, therapeutic interventions, and the design of more engaging human-computer interfaces.