Interaction Design in AI Applications: A Systematic Review

Despite the availability of Artificial Intelligence applications across different domains, persistent usability challenges have hindered their effectiveness and user adoption. This systematic review investigates the role of interaction design in enhancing the usability and user experience of Artificial Intelligence applications. This analysis yielded three key findings. First, integration & interaction, learning, and communication are the primary Artificial Intelligence domains that leverage interaction design research to ensure user-centric and efficient applications. Second, Artificial Intelligence techniques such as hybridization, searching, and optimization are widely adopted to address multifaceted challenges. Finally, mixed methods have emerged as the most versatile user experience evaluation approach, integrating quantitative and qualitative techniques to provide comprehensive insights into Artificial Intelligence applications. These results offer a holistic framework for Artificial Intelligence practitioners and designers to develop intuitive and robust applications while addressing gaps in the field.