What is it about?
This review aims to overview the user trust definitions, influencing factors, and measurement methods from 23 empirical studies to gather insight for future technical and design strategies, research, and initiatives to calibrate the user-AI relationship.
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Why is it important?
The findings confirm that there is more than one way to define trust. Selecting the most appropriate trust definition to depict user trust in a specific context should be the focus instead of comparing definitions. enabled systems. User characteristics dominate the findings, reinforcing the importance of user involvement from development through to monitoring of AI-enabled systems.
Perspectives
User trust in AI-enabled systems is found to be influenced by three main themes, namely socio-ethical considerations, technical and design features, and user characteristics.
Sónia Sousa
Tallinna Ulikool
Read the Original
This page is a summary of: A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective, International Journal of Human-Computer Interaction, November 2022, Taylor & Francis,
DOI: 10.1080/10447318.2022.2138826.
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