AI-Driven Service Blueprints As a New Methodological Tool for HCAI Experience Design

AI-Driven Service Blueprints As a New Methodological Tool for HCAI Experience Design | Zenodo Skip to main Communities My dashboard Log in Sign up HCXAI 2026 — Human-Centered Explainable AI Workshop Published April 13, 2026 | Version v1 Conference paper Open AI-Driven Service Blueprints As a New Methodological Tool for HCAI Experience Design Authors/Creators Atariani, Mehrdad Ajala, Oluwole Description Designing human-centred AI systems presents multifaceted challenges, including issues of transparency, limited AI literacy, and difficulties in collaborative design. This paper introduces the AI-driven service blueprint as a structured tool to address these challenges by mapping the design and integration processes of AI systems. The blueprint facilitates participatory design involving both stakeholders and AI components, while supporting compliance with ethical, technical, and legal standards. The AI-driven service blueprint offers a promising approach to enhancing collaboration, improving understanding of AI capabilities, and promoting the development of more explainable and responsible AI applications. We present this work as a position paper for CHI 2026 workshops, arguing that AI-driven service blueprints can extend established human-computer interaction and service design practices at the conceptual design phase. The contribution is a conceptual framework and critical reflection rather than a fully implemented system, intended to provoke discussion, inspire future prototypes, and inform empirical studies. Notes Proceedings of the CHI 2026 Workshop on Human-Centered Explainable AI (HCXAI); April 13–17, 2026; Barcelona, Spain. Files HCXAI2026_paper_2.pdf Files (409.9 kB) Name Size Download all HCXAI2026_paper_2.pdf md5:6903b54a6768a2007dedd8cc5f62a9c3 409.9 kB Preview Download 158 Views 68 Downloads Show more details All versions This version Views Total views 158 158 Downloads Total downloads 68 68 Data volume Total data volume 32.4 MB 32.4 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Human-centred AI AI Driven service blueprints Participatory design AI literacy HCXAI HCI methods Details DOI DOI Badge DOI 10.5281/zenodo.19700244 Markdown [](https://doi.org/10.5281/zenodo.19700244) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19700244.svg :target: https://doi.org/10.5281/zenodo.19700244 HTML <a href="https://doi.org/10.5281/zenodo.19700244"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19700244.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19700244.svg Target URL https://doi.org/10.5281/zenodo.19700244 Resource type Conference paper Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 22, 2026 Modified April 22, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

Related documents

• Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations#926737
• Constraint-Driven Context Engineering: Designing Domain Interfaces for AI Systems#1063565
• Architectural Implications of Agentic AI Workflows#429457
• Spec-Driven Development for Agentic Software Engineering: Harnessing Human-Agent Teamwork#819710
• Spec-Driven Development for Agentic Software Engineering: Harnessing Human-Agent Teamwork#809714