Cordeiro, AndréLeite, ReginaAlmeida, LucasNeves, CintiaSilva, TiagoSiqueira, AlexandreCatapan, MarcioWinkler, Ingrid2026-02-122026-02-122025-092227-9709PURE: 149870024PURE UUID: 0592b5f2-bb5d-4aba-8338-20d3da27e191Scopus: 105017394877WOS: 001580017700001ORCID: /0000-0002-5065-7938/work/205572013http://hdl.handle.net/10362/200343Publisher Copyright: © 2025 by the authors.This study presents preliminary design guidelines to support the evaluation of industrial safety training using immersive technologies, with a focus on high-risk work environments such as working at height. Although virtual reality has been widely adopted for training, few studies have explored its use for behavior-level evaluation, corresponding to Level 3 of the Kirkpatrick Model. Addressing this gap, the study adopts the Design Science Research methodology, combining a systematic literature review with expert focus group analysis to develop a conceptual framework for training evaluation. The results identify key elements necessary for immersive training evaluations, including scenario configuration, ethical procedures, recruitment, equipment selection, experimental design, and implementation strategies. The resulting guidelines are organized into six categories: scenario configuration, ethical procedures, recruitment, equipment selection, experimental design, and implementation strategies. These guidelines represent a DSR-based conceptual artifact to inform future empirical studies and support the structured assessment of immersive safety training interventions. The study also highlights the potential of integrating behavioral and physiological indicators to support immersive evaluations of behavioral change, offering an expert-informed and structured foundation for future empirical studies in high-risk industrial contexts.2060231engdesign guidelinesdesign science researchindustrial trainingsustainable productionvirtual realityCommunicationHuman-Computer InteractionComputer Networks and Communicationsjournal article10.3390/informatics12030088https://www.scopus.com/pages/publications/105017394877