Computational Model of Recommender System Intervention

A recommender system is an information selection that offers preferences to users and enhances their decision-making. This commonly implemented in human-computer-interaction (HCI) intervention because of its filtering personalization. However, success rate decision-making considered low the rationale for this associated with users’ psychological reactance which causing unsuccessful interventions. paper employs a computational model depict factors lead rejection by how these can be enhanced achieve successful The study made use design science research methodology executing analysis based on agent-based simulation approach development implementation. total sixteen concepts were identified formalized Matlab environment using three major case conditions as suggested previous studies. result provides explicit comprehension interplaying generate great importance developers designers interventions achieved without experiencing system.