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    Influence of continuous navigation modes on the immersive experience in a virtual supermarket
    (2026)
    Avilés-Castillo, Fátima  
    ;
    Buele, Jorge  
    ;
    Marco Salazar
    ;
    Guillermo Palacios-Navarro
    Introduction: Virtual reality has established itself as an effective tool for analyzing user experience and simulating everyday activities. However, there are still many questions remaining, such as how the type of movement in immersive environments influences this experience. The present study evaluated these variables in a virtual supermarket developed for Oculus Quest 2, with the aim of comparing the perceptual and cognitive experience under two navigation modalities: locomotion and joystick. Methods: Twenty-two young adults (18–32 years old) participated in both groups. Usability (SUS), presence (PQ), everyday memory (PRMQ), and cybersickness (CSQ-VR) questionnaires were administered, all with moderate and high reliability (α = 0.685–0.912). Results: The results showed high levels of usability in both conditions (SUS ≥79), with no statistically significant differences between navigation modes (p = 0.521). Natural presence was significantly higher in locomotion mode (6.17 vs. 5.47); however, this result should be interpreted with caution, as it was derived from exploratory subscale-level analyses (p = 0.038). Cybersickness symptoms remained low (p > 0.05). A very strong positive correlation was also observed between usability and presence in the joystick group (ρ = 0.902; p < 0.001), indicating that interaction fluidity enhances immersion. Discussion: Both modes were ergonomic and safe, although with distinct profiles: physical locomotion increased perceptual naturalness, while the joystick reinforced the relationship between ease of use and immersion. These findings provide empirical evidence on how movement modulates the immersive experience and propose an experimental model, with implications for the design of virtual environments applicable to different populations in the future. Copyright © 2026 Avilés-Castillo, Buele, Salazar and Palacios-Navarro.
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    Usability Evaluation for Cloud-Based Enterprise Resource Planning Systems
    (2025)
    Sandra Sanchez-Gordon
    ;
    Arias Flores, Hugo Patricio  
    ;
    María-Elena Cruz-Artieda
    ;
    Tania Calle-Jimenez
    This study proposes a practical model to evaluate the usability of cloud-based ERP systems. The proposed model involves quantitative and qualitative methods, that is, we propose a mixed-methods approach that includes four dimensions: customized heuristics assessment with usability experts, use of automated tools, usability testing with users, and social factors assessment with organizational experts. This novel model differs from others in that it incorporates social factors into the usability assessment, recognizing the broad impact of the technology on the organization and vice versa. This last dimension ensures that the proposed usability assessment model is more relevant than traditional models in real business environments. The viability of the proposed model was demonstrated by providing case study results.
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