Systematic Literature Review Data on End‑User Trust and Explainability in AI Systems
| dc.rights.license | Attribution-NonCommercial-ShareAlike 4.0 International | * |
| dc.contributor.author | Wright, Laura | |
| dc.contributor.author | Legarda, Iker | |
| dc.contributor.author | Lasa, Ganix | |
| dc.contributor.author | Escallada Lopez, Oscar | |
| dc.date.accessioned | 2026-01-23T08:48:54Z | |
| dc.date.available | 2026-01-23T08:48:54Z | |
| dc.date.issued | 2026 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11984/14019 | |
| dc.description | 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 | es |
| dc.language.iso | eng | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
| dc.title | Systematic Literature Review Data on End‑User Trust and Explainability in AI Systems | en |
| dcterms.accessRights | http://purl.org/coar/access_right/c_abf2 | en |
| oaire.format.mimetype | application/zip | en |
| oaire.file | $DSPACE\assetstore | en |
| oaire.resourceType | http://purl.org/coar/resource_type/c_ddb1 | en |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | en |
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
