Systematic Literature Review Data on End‑User Trust and Explainability in AI Systems
Abstract
This dataset was generated through a Systematic Literature Review (SLR) following the protocol proposed by Wohlin (2014). Wohlin defines the process as an iterative review based on the systematic tracing of citations both backward (looking at papers cited) and forward (looking at papers citing), starting from an initial set of relevant studies (start set). The full texts of the 35 papers included in the SLR were reviewed to identify: · Factors Influencing End-User Trust in AI Systems · Considerations for Designing or Evaluating AI Systems
Fields of Study & Subjects
Explainable Artificial Intelligence (XAI)
Ethics and Social Impacts of AI
Human-Automation Interaction and Safety
Publication details
- Journal / source
- eRepository Mondragon University (Mondragon University)
- Publication date
- 27 January 2026
- Language
- EN