Influencing behavior change: adaptive interventions using cognitive mechanism



Summary and goal

  • TBC

Abstract

How do people choose actions? Understanding the complexity of the human mind has been a persistent challenge in recent studies. How people choose actions is a complex and multifaceted task in the field of human behavior modeling. This challenge arises from the inherent complexity and diversity of human cognition, which is influenced by a lot of factors, including individual differences, environmental contexts, and the dynamic interplay between conscious and unconscious processes.

The way individuals make decisions about daily actions to achieve a goal can vary significantly based on different situations or personal preferences. Everyone has a different mentality or mindset, albeit to varying degrees. Simply modeling tracked behaviors of humans has limitations in fully reasoning about actions and understanding why a person has a particular behavior pattern, especially when abnormal patterns are detected.

Thus, exploring the mechanisms underlying human decision-making in everyday situations is crucial for advancing our understanding of human behavior and cognition. It is evident that individuals with similar cognitive abilities can exhibit diverse action choices, while those performing identical actions may possess distinct cognitive processes. This observation highlights that the decision-making process is not a simple, but rather a complex and context-dependent phenomenon.

Research questions

  • How do different cognitive states and decisions lead to various forms of behavior and effectively improve persuasiveness?
  • How can we build computational models that effectively capture both observable and hidden aspects of decision-making to better predict and influence future actions?

Contribution

In this study, we want to explore the following scenarios through voluntary work settings.

  1. The emergence of identical actions from distinct cognitive processes
  2. The different action choices despite similar underlying cognitive processes

This study brings contributions to the field by integrating cognitive mechanisms into computational modeling. We aim to provide a more contextual understanding of behaviors not only to enhance the predictive power of behavior models but also to develop strategic interventions that are more aligned with individual cognitive states.


Publications