Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels
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arXiv
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| Format: | Preprint |
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2025
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| author | Zerman, Emin Carlsson, Jonas Sjöström, Mårten |
| author_facet | Zerman, Emin Carlsson, Jonas Sjöström, Mårten |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_00333 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels Zerman, Emin Carlsson, Jonas Sjöström, Mårten Human-Computer Interaction Computer Vision and Pattern Recognition Graphics Image and Video Processing 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. |
| title | Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels |
| topic | Human-Computer Interaction Computer Vision and Pattern Recognition Graphics Image and Video Processing |
| url | https://arxiv.org/abs/2507.00333 |