aspg-25-4390-1792223580 20261017075300 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2026 11 2 Fadi Farha The Faculty of Informatics Engineering, Aleppo University, Syria Tony Salloom Head of Computer Vision Department, Synthoid AI, Shanghai, China Computer usability is often discussed through screen layout, navigation, and task flow, although the experience of using a computer also depends on whether processor, memory, storage, and network resources remain available when the user needs them. This paper develops a Computer Resource Usability Index (CRUI) for interpreting virtual-machine resource traces as indicators of user-facing usability risk. The proposed index converts CPU, memory, disk, and network measurements into a bounded resource-friction score and then maps this score into four actionable usability states: comfortable, watch, constrained, and strained. The analysis uses a processed extract following the public GWA-T-12 Bitbrains trace structure, which records VM-level resource metrics for enterprise applications. The results show that resource usability is not explained by CPU usage alone; imbalance across resource channels, I/O pressure, and variability also contribute to predicted friction. The findings provide a practical bridge between infrastructure monitoring and cognitive HCI by translating low-level resource traces into interface-relevant decisions such as when to defer background tasks, warn the user, or allocate additional headroom. 2026 10 15 4390 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.110203 https://americaspg.com/journal/25/article/4390 https://americaspg.com/storage/articles/manuscripts/01KTD65V2QB4CQ843B02GKQ5KD.pdf