Persuasive agent based simulation for evaluation of the dynamic threshold line and trigger classification from the Fogg Behavior Model

In this paper, we present an agent based simulation from a mathematical formulation for Motivation and Ability axis formation, threshold line and triggers positioning of the Fogg Behavior Model (FBM). This model is primarily used for the evaluation of persuasive technology based process. A dynamic behavior for the threshold line is proposed in order to identify trigger location based on the dataset Kolmogorov mean. Results shown, with the multiagent environment implemented, that the action line proposed on the FBM must not be fixed, but dynamically allocated in order to act as a feature for identification of trigger events zones. The data acquired by agent based simulation, helped the validation process for all mathematical equations and triggers defined before only on a conceptual level. Given the lack of mathematical information for the FBM, this paper tends to contribute with a theoretical support on the persuasive technology evaluation process in order to provide reasoning for further trigger implementation with more efficiency.