Scholarlink

<p>This research studies Spatially Aware Human–Computer Interaction (HCI) that improves organizational intelligence and cooperation via immersive visualization and intuitive decision-making. The ST-GAT models organizational unit development and geographical connectivity under dynamic situations. In immersive 3D environments, leaders, analysts, and teams engage with multivariate data and receive desired insights via gestures, gaze, and collaborative controls. The framework uses organizational resource and operations management scenarios to show how data streams from workforce dynamics, workflow efficiency, environmental factors, and infrastructural factors can be represented as geographical nodes. The ST-GAT predicts organizational outcomes, including productivity, resource consumption, and employee well-being, by identifying important zones of impact. In immersive contexts, embedded forecasts enable stakeholders to test “what-if” scenarios and receive rapid visual feedback for strategic planning. Algorithmic accuracy (MAE, RMSE) and organizational usability measures, including decision correctness, task efficiency, and collaborative effectiveness, are evaluated. Spatially aware immersive interaction enhances situational awareness, trust, and collective decision-making more than dashboards do. Immersive organizational analytics combines technical modeling with cognitive and social aspects of workplace decision support to show how spatially aware HCI may revolutionize company operations, governance, and strategic planning. The ST-GAT framework improves all assessment measures. Its 38.2 s task completion time and 91.8% decision&#xa0;accuracy indicate faster and more reliable decision-making. Critical zones are identified well with a spatial attention importance score of 0.84 and a prediction accuracy of 93.4%. Collaboration improves to 90.6%, but cognitive burden drops to 41.7. The enhanced system responsiveness of 165 ms ensures seamless, interactive performance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Spatially Aware Human–Computer Interaction: Integrating Immersive Visualization with Intuitive Decision-Making in Organizations

  • 期刊论文

  • 发表日期：

    2026年5月13日

查看全文
  • Lamia Alhazmi

摘要

This research studies Spatially Aware Human–Computer Interaction (HCI) that improves organizational intelligence and cooperation via immersive visualization and intuitive decision-making. The ST-GAT models organizational unit development and geographical connectivity under dynamic situations. In immersive 3D environments, leaders, analysts, and teams engage with multivariate data and receive desired insights via gestures, gaze, and collaborative controls. The framework uses organizational resource and operations management scenarios to show how data streams from workforce dynamics, workflow efficiency, environmental factors, and infrastructural factors can be represented as geographical nodes. The ST-GAT predicts organizational outcomes, including productivity, resource consumption, and employee well-being, by identifying important zones of impact. In immersive contexts, embedded forecasts enable stakeholders to test “what-if” scenarios and receive rapid visual feedback for strategic planning. Algorithmic accuracy (MAE, RMSE) and organizational usability measures, including decision correctness, task efficiency, and collaborative effectiveness, are evaluated. Spatially aware immersive interaction enhances situational awareness, trust, and collective decision-making more than dashboards do. Immersive organizational analytics combines technical modeling with cognitive and social aspects of workplace decision support to show how spatially aware HCI may revolutionize company operations, governance, and strategic planning. The ST-GAT framework improves all assessment measures. Its 38.2 s task completion time and 91.8% decision accuracy indicate faster and more reliable decision-making. Critical zones are identified well with a spatial attention importance score of 0.84 and a prediction accuracy of 93.4%. Collaboration improves to 90.6%, but cognitive burden drops to 41.7. The enhanced system responsiveness of 165 ms ensures seamless, interactive performance.