From motion to meaning: understanding students’ seating preferences in libraries through PIR-enabled machine learning and explainable AI

This study presents a comprehensive, data-driven investigation into students’ seating preferences within academic library environments, aiming to inform user-centered spatial design. Drawing on over 1.3 million ten-minute passive infrared (PIR) sensor observations collected throughout 2023 at the UC...

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Bibliographic Details
Main Authors: Gizem Izmir Tunahan, Goksu Tuysuzoglu, Hector Altamirano
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Psychology
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Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1642381/full
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