Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review
Abstract BackgroundWith the rapid expansion of artificial intelligence (AI) applications, researchers have begun focusing on the concept of human-centered artificial intelligence (HCAI). This field is dedicated to designing AI systems that augment and improve human abilities,...
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| Format: | Article |
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JMIR Publications
2025-05-01
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| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2025/1/e67350 |
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| author | Roberta Bevilacqua Tania Bailoni Elvira Maranesi Giulio Amabili Federico Barbarossa Marta Ponzano Michele Virgolesi Teresa Rea Maddalena Illario Enrico Maria Piras Matteo Lenge Elisa Barbi Garifallia Sakellariou |
| author_facet | Roberta Bevilacqua Tania Bailoni Elvira Maranesi Giulio Amabili Federico Barbarossa Marta Ponzano Michele Virgolesi Teresa Rea Maddalena Illario Enrico Maria Piras Matteo Lenge Elisa Barbi Garifallia Sakellariou |
| author_sort | Roberta Bevilacqua |
| collection | DOAJ |
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Abstract
BackgroundWith the rapid expansion of artificial intelligence (AI) applications, researchers have begun focusing on the concept of human-centered artificial intelligence (HCAI). This field is dedicated to designing AI systems that augment and improve human abilities, rather than substituting them.
ObjectiveThe objective of the paper was to review the information on design principles, techniques, applications, methods, and outcomes adopted in the field of HCAI, in order to provide some insights on the discipline, in relation with the broader concepts of human-centered and user-centered design.
MethodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist guidelines, we conducted a scoping review in PubMed, ScienceDirect, and IEEE Xplore, including all study types, excluding narrative reviews and editorials.
ResultsOut of the 1035 studies retrieved, 14 studies conducted between 2018 and 2023 met the inclusion criteria. The main fields of application were the health sector and AI applications. Human-centered design methodologies were adopted in 3 studies, personas in 2 studies, while the remaining methodologies were adopted in individual studies.
ConclusionsHCAI emphasizes designing AI systems that prioritize human needs, satisfaction, and trustworthiness, but current principles and guidelines are often vague and difficult to implement. The review highlights the importance of involving users early in the development process to enhance trust, especially in fields like health care, but notes that there is a lack of standardized HCAI methodologies and limited practical applications adhering to these principles. |
| format | Article |
| id | doaj-art-cfa3b8d5f44c4e10a1d89a42c85e01ad |
| institution | Kabale University |
| issn | 2292-9495 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Human Factors |
| spelling | doaj-art-cfa3b8d5f44c4e10a1d89a42c85e01ad2025-08-20T03:24:47ZengJMIR PublicationsJMIR Human Factors2292-94952025-05-0112e67350e6735010.2196/67350Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping ReviewRoberta Bevilacquahttp://orcid.org/0000-0002-3851-3552Tania Bailonihttp://orcid.org/0000-0003-4360-566XElvira Maranesihttp://orcid.org/0000-0002-2414-3773Giulio Amabilihttp://orcid.org/0000-0002-2005-4319Federico Barbarossahttp://orcid.org/0000-0001-8701-9879Marta Ponzanohttp://orcid.org/0000-0003-4091-4686Michele Virgolesihttp://orcid.org/0000-0003-4619-0711Teresa Reahttp://orcid.org/0000-0001-6444-0951Maddalena Illariohttp://orcid.org/0000-0001-9834-6517Enrico Maria Pirashttp://orcid.org/0000-0002-6115-0577Matteo Lengehttp://orcid.org/0000-0003-2848-621XElisa Barbihttp://orcid.org/0009-0001-9350-7614Garifallia Sakellariouhttp://orcid.org/0000-0002-1849-5123 Abstract BackgroundWith the rapid expansion of artificial intelligence (AI) applications, researchers have begun focusing on the concept of human-centered artificial intelligence (HCAI). This field is dedicated to designing AI systems that augment and improve human abilities, rather than substituting them. ObjectiveThe objective of the paper was to review the information on design principles, techniques, applications, methods, and outcomes adopted in the field of HCAI, in order to provide some insights on the discipline, in relation with the broader concepts of human-centered and user-centered design. MethodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist guidelines, we conducted a scoping review in PubMed, ScienceDirect, and IEEE Xplore, including all study types, excluding narrative reviews and editorials. ResultsOut of the 1035 studies retrieved, 14 studies conducted between 2018 and 2023 met the inclusion criteria. The main fields of application were the health sector and AI applications. Human-centered design methodologies were adopted in 3 studies, personas in 2 studies, while the remaining methodologies were adopted in individual studies. ConclusionsHCAI emphasizes designing AI systems that prioritize human needs, satisfaction, and trustworthiness, but current principles and guidelines are often vague and difficult to implement. The review highlights the importance of involving users early in the development process to enhance trust, especially in fields like health care, but notes that there is a lack of standardized HCAI methodologies and limited practical applications adhering to these principles.https://humanfactors.jmir.org/2025/1/e67350 |
| spellingShingle | Roberta Bevilacqua Tania Bailoni Elvira Maranesi Giulio Amabili Federico Barbarossa Marta Ponzano Michele Virgolesi Teresa Rea Maddalena Illario Enrico Maria Piras Matteo Lenge Elisa Barbi Garifallia Sakellariou Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review JMIR Human Factors |
| title | Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review |
| title_full | Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review |
| title_fullStr | Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review |
| title_full_unstemmed | Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review |
| title_short | Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review |
| title_sort | framing the human centered artificial intelligence concepts and methods scoping review |
| url | https://humanfactors.jmir.org/2025/1/e67350 |
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