Systematic Literature Review Data on End‑User Trust and Explainability in AI Systems

Read full text
Authors: Laura Wright, Iker Legarda, Ganix Lasa, Oscar Escallada
Cited by: 1

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