{"id":"https://openalex.org/W7119042168","doi":"https://doi.org/10.48550/arxiv.2601.00928","title":"Analyzing the Shopping Journey: Computing Shelf Browsing Visits in a Physical Retail Store","display_name":"Analyzing the Shopping Journey: Computing Shelf Browsing Visits in a Physical Retail Store","publication_year":2026,"publication_date":"2026-01-02","ids":{"openalex":"https://openalex.org/W7119042168","doi":"https://doi.org/10.48550/arxiv.2601.00928"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.00928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00928","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.00928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053862446","display_name":"Luis Yoichi Morales","orcid":"https://orcid.org/0000-0002-3763-1469"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Morales, Luis Yoichi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082041251","display_name":"Francesco Zanlungo","orcid":"https://orcid.org/0000-0002-0992-3202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zanlungo, Francesco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122150090","display_name":"David M. Woollard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Woollard, David M.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053862446"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.32339999079704285,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.32339999079704285,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12128","display_name":"AI in Service Interactions","score":0.14869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.08110000193119049,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6241000294685364},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5407999753952026},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.535099983215332},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.535099983215332},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5209000110626221},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5117999911308289},{"id":"https://openalex.org/keywords/off-the-shelf","display_name":"Off the shelf","score":0.48579999804496765},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.45579999685287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166000008583069},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.535099983215332},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.535099983215332},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5209000110626221},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C2982819384","wikidata":"https://www.wikidata.org/wiki/Q7078910","display_name":"Off the shelf","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3862999975681305},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3346000015735626},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2962000072002411},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26969999074935913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.00928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00928","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.00928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00928","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Motivated":[0],"by":[1,93],"recent":[2],"challenges":[3],"in":[4,22,48,88,141,176,193],"the":[5,49,72,107,112,122,128,132,146,156,160,177,194],"deployment":[6],"of":[7,19,31,71,79,82,106,127,168,196],"robots":[8],"into":[9],"customer-facing":[10],"roles":[11],"within":[12],"retail,":[13],"this":[14],"work":[15],"introduces":[16],"a":[17,26,165],"study":[18],"customer":[20],"activity":[21,138],"physical":[23],"stores":[24,90],"as":[25],"step":[27],"toward":[28],"autonomous":[29],"understanding":[30],"shopper":[32],"intent.":[33],"We":[34,66,153],"introduce":[35],"an":[36,142],"algorithm":[37,133],"that":[38,131],"computes":[39],"shoppers'":[40],"``shelf":[41],"visits''":[42],"--":[43],"capturing":[44],"their":[45,171],"browsing":[46,137,184],"behavior":[47],"store.":[50,124],"Shelf":[51],"visits":[52],"are":[53,99],"extracted":[54],"from":[55,111,121,145],"trajectories":[56,80,103,169],"obtained":[57],"via":[58],"machine":[59],"vision-based":[60],"3D":[61],"tracking":[62],"and":[63,84,91,120,170,192],"overhead":[64],"cameras.":[65],"perform":[67],"two":[68],"independent":[69],"calibrations":[70],"shelf":[73,183],"visit":[74],"algorithm,":[75],"using":[76],"distinct":[77],"sets":[78],"(consisting":[81],"8138":[83],"15129":[85],"trajectories),":[86],"collected":[87],"different":[89,144],"labeled":[92],"human":[94],"reviewers.":[95],"The":[96],"calibrated":[97],"models":[98],"then":[100,154],"evaluated":[101,140],"on":[102,115,148,164],"held":[104],"out":[105],"calibration":[108,117,150],"process":[109],"both":[110],"same":[113],"store":[114],"which":[116,149],"was":[118,151],"performed":[119],"other":[123],"An":[125],"analysis":[126],"results":[129],"shows":[130],"can":[134],"recognize":[135],"customers'":[136,161],"when":[139],"environment":[143],"one":[147],"performed.":[152],"use":[155],"model":[157],"to":[158,173],"analyze":[159],"``browsing":[162],"patterns''":[163],"large":[166],"set":[167],"relation":[172],"actual":[174],"purchases":[175],"stores.":[178],"Finally,":[179],"we":[180],"discuss":[181],"how":[182],"information":[185],"could":[186],"be":[187],"used":[188],"for":[189],"retail":[190],"planning":[191],"domain":[195],"human-robot":[197],"interaction":[198],"scenarios.":[199]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}
