A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective
DNV (Norway) · Tallinn University
Abstract
User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering adoption. It has been suggested that AI-enabled systems must go beyond technical-centric approaches and towards embracing a more human-centric approach, a core principle of the human-computer interaction (HCI) field. This review aims to provide an overview of 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. The findings confirm that there is more than one way to define trust. Selecting the most appropriate…
Citation impact
- FWCI
- 47.29
- Percentile
- 100%
- References
- 97
Authors
5Topics & keywords
- Perspective (graphical)
- Computer science
- Systematic review
- Data science
- Human–computer interaction
- Psychology
- Engineering ethics
- Engineering