Mediating Design Tensions in AI-enhanced UX: A Human-centered Framework for Enterprise Information Systems
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Suranto, Beni
Cajander, Asa
Lal, Ramesh
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Elsevier BV
Abstract
Integrating artificial intelligence (AI) into enterprise information systems (EIS) transforms user experience (UX) collaboration but introduces complex design tensions. This study develops the HCAI-CUX framework to address tensions related to bias, transparency, stakeholder alignment, and automation. Drawing on a structured scoping review and thematic synthesis, six key tensions were identified and mapped to five Human-Centered AI (HCAI) principles. The resulting framework offers actionable guidance for aligning ethical values with AI-enhanced UX practices in enterprise settings, contributing to more inclusive, trustworthy, and scalable design outcomes.
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46 Information and Computing Sciences, 4608 Human-Centred Computing, 4609 Information Systems, Health Disparities, Machine Learning and Artificial Intelligence, Health Disparities and Racial or Ethnic Minority Health Research, Bioengineering, Networking and Information Technology R&D (NITRD), 3 Good Health and Well Being, 08 Information and Computing Sciences, 10 Technology, 46 Information and computing sciences, Human-Centered AI, Enterprise Information Systems, Design Tension, UX Design
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Procedia Computer Science, ISSN: 1877-0509 (Print), Elsevier BV, 284, 209-217. doi: 10.1016/j.procs.2026.06.636
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Creative Commons Attribution CC BY 4.0
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Except where otherwise noted, this item's license is described as Creative Commons Attribution CC BY 4.0