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AI-Based Adaptive User Interfaces

dc.contributor.authorNelson, Cassidy R.en
dc.contributor.departmentVirginia Tech. Academy of Transdisciplinary Studiesen
dc.date.accessioned2025-08-07T17:13:37Zen
dc.date.available2025-08-07T17:13:37Zen
dc.date.issued2025-05-28en
dc.description.abstractThis case study considers how AI-based adaptive user interfaces are changing the human-technology relationship. Drawing from the fields of human factors and ergonomics, the case begins with the Boeing 737 MAX crash example to demonstrate the dangers of user interface design without regard for human cognitive limitations. It then traces the development from user-configurable settings to adaptive interfaces that use AI to pick up on users' habits in real time. The study warns of the risks of these systems: from privacy and consent issues to data exploitation, design tricks, and radicalization via algorithmic echo chambers. With sweeping scenarios and illustrations—e.g., affective computing, personalized ecosystems, and surveillance capitalism—the case compels students to think critically about whether AI interfaces are actually feasible to advance the best interest of the user or whether they further entrenched vulnerabilities. Reflection and focus questions at the end position discussions on regulation, standardization vs. personalization, paternalism, and ethical design.en
dc.description.sponsorshipTech for Humanity was funded by a grant from the Andrew W. Mellon Foundation.en
dc.format.extent12 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/137048en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyright (InC)en
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s). For other uses you need to obtain permission from the rights holder(s).en
dc.rights.holderVirginia Techen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAI Interfacesen
dc.subjectHuman-Centered Designen
dc.subjectEthics & Surveillanceen
dc.titleAI-Based Adaptive User Interfacesen
dc.typeReporten
dc.type.dcmitypeTexten

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