<p>This study presents a quantitative review of 49 empirical XR interaction experiments, examining whether task types are systematically related to the interaction techniques and evaluation metrics reported in prior studies. Understanding this relationship is important for informing XR interaction design and supporting more context-aware selection of interaction techniques across diverse task scenarios. A dataset of 230 task–technique pairs and 184 task–metric occurrences was constructed and analyzed across three task categories—discrete, spatial, and continuous. Major interaction techniques, including Direct Controller, hand tracking, eye tracking, raycasting, and other modalities, were examined alongside objective and subjective evaluation metrics using chi-square tests, standardized residuals, and correspondence analysis. The results indicate that XR interaction techniques are not strongly determined by task type, but are instead applied flexibly across different task contexts. Similarly, evaluation metrics are not strictly tied to specific task categories, but vary depending on study-specific goals and experimental settings. These findings suggest that commonly used XR interaction techniques function as general-purpose tools that can be adapted across diverse scenarios, rather than being inherently linked to particular task types. However, these findings are based on a filtered subset of empirical studies and should be interpreted within this scope. This work provides a structured statistical mapping of empirical XR interaction literature and outlines a reproducible analysis procedure for future investigations.</p>