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This paper is in the following e-collection/theme issue:

Reviews on Human Factors (78) Ethical, Legal, and Social Issues in AI (124) Artificial Intelligence (2355) User-Centered Design Case Studies (742) Methods in Human Factors Research (74)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67350, first published .
Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review

Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review

Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review

Authors of this article:

Roberta Bevilacqua1 Author Orcid Image ;   Tania Bailoni2 Author Orcid Image ;   Elvira Maranesi1 Author Orcid Image ;   Giulio Amabili1 Author Orcid Image ;   Federico Barbarossa1 Author Orcid Image ;   Marta Ponzano3 Author Orcid Image ;   Michele Virgolesi4 Author Orcid Image ;   Teresa Rea4 Author Orcid Image ;   Maddalena Illario4, 5 Author Orcid Image ;   Enrico Maria Piras6 Author Orcid Image ;   Matteo Lenge7 Author Orcid Image ;   Elisa Barbi7 Author Orcid Image ;   Garifallia Sakellariou8, 9 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. Auf H, Nygren J, Lundgren L, Petersson L, Svedberg P. Healthcare Professionals’ perspectives on AI-driven decision support in young adult mental health: an analysis through the lens of a shared decision-making framework. Frontiers in Digital Health 2025;7 View
  2. Lemke H. Enhancing trustworthiness in model-guided medicine with a model identity certificate (MIC): starting with interventional disciplines. International Journal of Computer Assisted Radiology and Surgery 2025;20(11):2191 View
  3. 李 华. The Human-Machine Synergy Model Construction for Pharmaceutical Science Popularization Empowered by AI Technology. Pharmacy Information 2026;15(01):12 View
  4. Yang M, Gao T, Zhao J, Hua M. Human Well-Being at Work with AI: Development and Validation of the AI Workplace Well-Being (AWWB) Scale. International Journal of Human–Computer Interaction 2026:1 View
  5. Chopannavaz M, Ghaderi F. Advances in machine learning for epileptic seizure prediction: A review of electrocardiogram-based approaches. Engineering Applications of Artificial Intelligence 2026;167:113717 View
  6. Sharma N, Sarode S. Human-assisted traditional peer review intelligence vs artificial peer review intelligence: perspectives on future disruptive sciences. Discover Artificial Intelligence 2026;6(1) View
  7. Ahmad A, Cajander Å, Langegård U, Johansson B, Henriksson A, Pettersson M, Ahmad W, Tiblom Ehrsson Y. Human-Centred Design Approach for Development of a Web-Based Application to Support Informal Caregivers of Individuals with Head and Neck Cancer (Preprint). JMIR Human Factors 2025 View
  8. Dewi K, Ciptayani P, Maha lina N. Buyer persona expert system: An ontology-based knowledge framework for persona formulation. Array 2026;30:100744 View
  9. Mathias R, Schmitt A, Campos M, Vasey B, Lorenz S, McCulloch P, Gilbert S. Evaluation of Human Factors–Related Risks in AI-Enabled Medical Devices — A Practical Guide. NEJM AI 2026;3(4) View

Books/Policy Documents

  1. Evangeline S. Harnessing Emotion AI for Customer Support and Employee Wellbeing. View

Conference Proceedings

  1. Nam S, Ki Chan C. 2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). Towards Designing User Interfaces for Optimized Human-AI Communication and Supervisory Control in Software Engineering View