How Would Individuals Like to Use AI-Enabled Applications? An Empirical Study Based on HCI Framework

The market of AI-enabled applications is growing fast and AI-enabled application has become a regular part of people’s daily lives. Applying the Human-Computer Interaction (HCI) framework, this research attempts to study how likely people would accept using AI-enabled applications and what factors affect individual decisions. An empirical study is conducted through an online survey and tested using a PLS-SEM model. Results show that User characteristics, AI-enabled application characteristics, user interaction, trust, and task-technology fit are the factors that affect users’ intention to use AI-enabled applications. Theoretically, this study improves the understanding of how the unique characteristics of AI-enabled applications affect users’ acceptance of AI-enabled applications. Practically, the findings of this study can enhance the comprehension of individual users' application usage patterns for developers of AI-powered applications.