{"id":"https://openalex.org/W4416872483","doi":"https://doi.org/10.48550/arxiv.2507.00333","title":"Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels","display_name":"Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4416872483","doi":"https://doi.org/10.48550/arxiv.2507.00333"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2507.00333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00333","pdf_url":"https://arxiv.org/pdf/2507.00333","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.00333","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052198589","display_name":"Emin Zerman","orcid":"https://orcid.org/0000-0002-3210-8978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zerman, Emin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Carlsson, Jonas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlsson, Jonas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061234993","display_name":"M\u00e5rten Sj\u00f6str\u00f6m","orcid":"https://orcid.org/0000-0003-3751-6089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sj\u00f6str\u00f6m, M\u00e5rten","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.5949000120162964,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.5949000120162964,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10813","display_name":"Sport Psychology and Performance","score":0.18649999797344208,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.05139999836683273,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6450999975204468},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5042999982833862},{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.49619999527931213},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.48240000009536743},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4803999960422516},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3993000090122223},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6450999975204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281999945640564},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3993000090122223},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3253999948501587},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2507.00333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00333","pdf_url":"https://arxiv.org/pdf/2507.00333","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.00333","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.00333","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.00333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00333","pdf_url":"https://arxiv.org/pdf/2507.00333","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416872483.pdf","grobid_xml":"https://content.openalex.org/works/W4416872483.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Marksmanship":[0],"practices":[1],"are":[2],"required":[3],"in":[4,146],"various":[5],"professions,":[6],"including":[7,114],"police,":[8],"military":[9],"personnel,":[10],"hunters,":[11],"as":[12,14,18],"well":[13],"sports":[15],"shooters,":[16],"such":[17],"Olympic":[19],"shooting,":[20],"biathlon,":[21],"and":[22,30,49,55,67,75,95,116,123,141,151,178],"modern":[23],"pentathlon.":[24],"The":[25,126,157],"current":[26],"form":[27],"of":[28,46,148,169],"training":[29],"coaching":[31],"is":[32,51],"mostly":[33],"based":[34],"on":[35],"repetition,":[36],"where":[37],"the":[38,44,47,166],"coach":[39],"does":[40],"not":[41],"see":[42],"through":[43,110],"eyes":[45],"shooter,":[48],"analysis":[50],"limited":[52],"to":[53,165,186],"stance":[54],"accuracy":[56],"post-session.":[57],"In":[58],"this":[59,161,184],"study,":[60],"we":[61,179],"present":[62],"a":[63,111,130,138],"shooting":[64,88],"visualization":[65],"system":[66],"evaluate":[68],"its":[69],"perceived":[70],"effectiveness":[71],"for":[72,176,182],"both":[73],"novice":[74],"expert":[76,106],"shooters.":[77],"To":[78],"achieve":[79],"this,":[80],"five":[81],"composite":[82,132],"visualizations":[83],"were":[84,100],"developed":[85],"using":[86],"first-person":[87,171],"video":[89,136,172],"recordings":[90],"enriched":[91],"with":[92,102,137,173],"overlaid":[93],"metrics":[94],"graphical":[96],"summaries.":[97],"These":[98],"views":[99],"evaluated":[101],"10":[103,149],"participants":[104],"(5":[105],"marksmen,":[107],"5":[108],"novices)":[109],"mixed-methods":[112],"study":[113,163],"shot-count":[115],"aiming":[117],"interpretation":[118],"tasks,":[119],"pairwise":[120],"preference":[121],"comparisons,":[122],"semi-structured":[124],"interviews.":[125],"results":[127],"show":[128],"that":[129],"dashboard-style":[131],"view,":[133],"combining":[134],"raw":[135],"polar":[139],"plot":[140],"selected":[142],"graphs,":[143],"was":[144],"preferred":[145],"9":[147],"cases":[150],"supported":[152],"understanding":[153],"across":[154],"skill":[155],"levels.":[156],"insights":[158],"gained":[159],"from":[160],"design":[162],"point":[164],"broader":[167],"value":[168],"integrating":[170],"visual":[174],"analytics":[175],"coaching,":[177],"suggest":[180],"directions":[181],"applying":[183],"approach":[185],"other":[187],"precision-based":[188],"sports.":[189]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}