HUGHES, NATHAN, JIA, YAN orcid.org/0000-0002-5446-6565, Sujan, Mark Alexander et al. (3 more authors) (2026) Design Principles for Human-Centred Explainable AI:A Scoping Review. ACM Transactions on Interactive Intelligent Systems.
Abstract
The field of Human-Centred Explainable AI (HCXAI) has been rapidly expanding. In turn, there has been an increase in the number of papers suggesting design principles for HCXAI. However, it is unclear the extent to which design requirements overlap between papers, and in turn what the field overall considers to be HCXAI design requirements. To overcome this, this study analysed the state of the field via a scoping review of papers suggesting HCXAI design requirements, and a Content Analysis of the extracted principles. A total of 330 design principles were identified from 35 papers, which were subsequently categorised into 43 codes and grouped into 4 main areas of focus. Based on these findings, we propose a definition of HCXAI which identifies HCXAI as a design process rather than an XAI technique. Finally, an overview of the current state of HCXAI is presented, as well as areas where further research is required.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 Copyright held by the owner/author(s). |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Date Deposited: | 10 Feb 2026 12:00 |
| Last Modified: | 10 Feb 2026 12:00 |
| Published Version: | https://doi.org/10.1145/3771720 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1145/3771720 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237778 |

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