Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels

2025-06-30

AI Summary

Current shooting training relies heavily on repetitive practice, with coaches unable to observe from the shooter’s perspective and analysis constrained to static postural assessment and final shot accuracy—lacking real-time, multidimensional visual feedback. To address this, we propose a composite visualization system tailored to shooters across multiple skill levels. The system integrates first-person shooting video, polar-coordinate aiming trajectory plots, and key performance indicators—including trigger timing and angular deviation—to construct an interactive, dashboard-style dynamic view. We evaluate the system via video overlay, graphical data summarization, and a mixed-method approach comprising paired preference comparisons, semi-structured interviews, and task analysis with ten participants. Nine participants expressed significant preference for the system, demonstrating its efficacy in enhancing novices’ understanding of aiming mechanics and experts’ ability to attribute shot outcomes to specific motor behaviors. This work establishes a scalable, visualization-driven paradigm for precision-sport training assistance.

Technology Category

• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Computer Vision: Motion & Tracking
• Knowledge Representation and Reasoning: Preferences

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Marksmanship practices are required in various professions, including police, military personnel, hunters, as well as sports shooters, such as Olympic shooting, biathlon, and modern pentathlon. The current form of training and coaching is mostly based on repetition, where the coach does not see through the eyes of the shooter, and analysis is limited to stance and accuracy post-session. In this study, we present a shooting visualization system and evaluate its perceived effectiveness for both novice and expert shooters. To achieve this, five composite visualizations were developed using first-person shooting video recordings enriched with overlaid metrics and graphical summaries. These views were evaluated with 10 participants (5 expert marksmen, 5 novices) through a mixed-methods study including shot-count and aiming interpretation tasks, pairwise preference comparisons, and semi-structured interviews. The results show that a dashboard-style composite view, combining raw video with a polar plot and selected graphs, was preferred in 9 of 10 cases and supported understanding across skill levels. The insights gained from this design study point to the broader value of integrating first-person video with visual analytics for coaching, and we suggest directions for applying this approach to other precision-based sports.

Problem

• Designing composite visualizations for marksmanship training across skill levels
• Improving coaching by integrating first-person video with visual analytics
• Evaluating effectiveness of visualization system for novice and expert shooters

Innovation

• Composite visualizations for marksmanship training
• First-person video enriched with overlaid metrics
• Dashboard-style view combining video and polar plot