Decision-making with eXtended reality and artificial intelligence: practitioner-informed design guidelines for decision support systems
- Post by: Tobias Larsson
- 17th February 2026
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Abstract
The rapidly changing industrial landscape is causing companies to quickly adapt to new market demands. Major players in the mining and construction sectors are undergoing disruptive trends, including digitalisation and servitizations. Simulations and Digital Twins enable more flexible fleet management, advanced monitoring, prediction, and decision support. However, there is a need for making these support systems more accessible for all the stakeholders involved, from operators to site managers and higher ranks. A possibility is to leverage the explanatory capabilities of eXtended Reality and Artificial Intelligence. This preliminary research study examined three Decision Support System solutions that were characterised by different levels of visualisation, contextualisation, and immersion. A qualitative study of N = 10 industry experts provided insights that were coded into design guidelines. Practitioners identified an increasing demand for scalable, user-centric solutions that support stakeholders throughout the decision-making process. XR and AI were well-received, and the importance of integrating value-driven design principles to ensure system trustworthiness and usability was widely acknowledged.
Keywords
Decision support systems, extended reality, artificial intelligence, focus group, guidelines
Reference
Giussani, R., Scurati, G. W., Frank, B., Ferrise, F., & Bertoni, M. (2026). Decision-making with eXtended reality and artificial intelligence: practitioner-informed design guidelines for decision support systems. Journal of Engineering Design, 1–17. https://doi.org/10.1080/09544828.2026.2629759
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