The Role Mechanism and Optimization Strategies of Subjective and Objective Motivation in Participatory Interaction Models

Abstract

In the fields of human-computer interaction (HCI) and user experience (UX), participatory interaction models are becoming increasingly prevalent. However, there is insufficient understanding of user motivation within this model. Motivation is closely related to many aspects of user behavior, but existing studies have not adequately integrated motivational theory into this interaction model. This research focuses on the subjective and objective motivation within participatory interaction models, constructing a new framework by integrating relevant theories. Through a combination of quantitative and qualitative methods, the study explores the underlying mechanisms in depth. The research identifies five motivational profiles and reveals the relationship between motivation, needs satisfaction, emotions, and usability, as well as the synergistic effects of subjective and objective motivation. It further proposes optimization strategies, covering motivation integration, needs satisfaction, emotional guidance, and dynamic motivation adjustment. These strategies have shown significant effectiveness in various fields such as online education and intelligent health management, and they also have potential for application in smart home environments. This study expands the application of motivational theory, innovates the interaction model framework, and ensures the reliability of findings by using comprehensive methodologies, providing theoretical support for practical applications.