{"id":"https://openalex.org/W7153792164","doi":"https://doi.org/10.1145/3772363.3798740","title":"Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions","display_name":"Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153792164","doi":"https://doi.org/10.1145/3772363.3798740"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798740","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772363.3798740","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133460599","display_name":"Bea Alexis Arcega","orcid":"https://orcid.org/0009-0007-3047-5970"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Bea Alexis Arcega","raw_affiliation_strings":["Human-X Interactions Lab, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0009-0007-3047-5970","affiliations":[{"raw_affiliation_string":"Human-X Interactions Lab, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133451400","display_name":"Annika Dominique S. Campos","orcid":"https://orcid.org/0009-0003-0949-561X"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Annika Dominique S. Campos","raw_affiliation_strings":["Human-X Interactions Lab, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0009-0003-0949-561X","affiliations":[{"raw_affiliation_string":"Human-X Interactions Lab, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133446767","display_name":"Kathleen Therese Cruz","orcid":"https://orcid.org/0009-0006-4138-572X"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Kathleen Therese Cruz","raw_affiliation_strings":["Human-X Interactions Lab, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0009-0006-4138-572X","affiliations":[{"raw_affiliation_string":"Human-X Interactions Lab, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133461473","display_name":"Aaron Ace Toledo","orcid":"https://orcid.org/0009-0005-4266-0431"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Aaron Ace Toledo","raw_affiliation_strings":["Human-X Interactions Lab, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0009-0005-4266-0431","affiliations":[{"raw_affiliation_string":"Human-X Interactions Lab, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065729886","display_name":"Briane Paul V. Samson","orcid":"https://orcid.org/0000-0002-0253-452X"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Briane Paul V. Samson","raw_affiliation_strings":["Human-X Interactions Lab, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0000-0002-0253-452X","affiliations":[{"raw_affiliation_string":"Human-X Interactions Lab, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5133460599"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8215379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.6054999828338623,"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":0.6054999828338623,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.2037000060081482,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.0348999984562397,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3546999990940094},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3172999918460846},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.3066999912261963},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.2831999957561493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.28299999237060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691999793052673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45350000262260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38830000162124634},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798740","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772363.3798740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798740","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W207635167","https://openalex.org/W2003615975","https://openalex.org/W2015011409","https://openalex.org/W2017929030","https://openalex.org/W2027785366","https://openalex.org/W2028816680","https://openalex.org/W2030632514","https://openalex.org/W2035103838","https://openalex.org/W2091814890","https://openalex.org/W2105963649","https://openalex.org/W2732719848","https://openalex.org/W2753405889","https://openalex.org/W2771170848","https://openalex.org/W2798521914","https://openalex.org/W2799246381","https://openalex.org/W2810874430","https://openalex.org/W2891628559","https://openalex.org/W2902660860","https://openalex.org/W2924394536","https://openalex.org/W2942432719","https://openalex.org/W3003217120","https://openalex.org/W3045626079","https://openalex.org/W3121493722","https://openalex.org/W3183000984","https://openalex.org/W4235892773","https://openalex.org/W4319586650"],"related_works":[],"abstract_inverted_index":{"Commuters":[0],"often":[1],"encounter":[2],"crowding":[3,102],"in":[4,8,20,72,94,138],"railway":[5],"systems,":[6],"particularly":[7,79],"queues":[9],"where":[10],"passenger":[11],"density":[12],"varies":[13],"throughout":[14],"the":[15,47,52,96,131],"day.":[16],"This":[17],"introduces":[18],"uncertainty":[19,53,71,89],"crowdedness,":[21],"making":[22],"it":[23],"difficult":[24],"for":[25,41,60],"individuals":[26],"to":[27,68,74,120],"anticipate":[28],"conditions":[29],"and":[30,51,91,98,111,128],"plan":[31],"their":[32,92],"trips":[33],"effectively.":[34],"Crowdsourcing":[35],"has":[36],"been":[37],"a":[38],"valuable":[39],"method":[40],"collecting":[42],"localized":[43],"user":[44,126],"data.":[45,84,103],"But":[46],"unpredictability":[48],"of":[49,54,100],"crowds":[50],"crowdsourced":[55,82,101],"information":[56],"pose":[57],"new":[58],"challenges":[59],"decision-making.":[61],"However,":[62],"we":[63,86,112],"know":[64],"little":[65],"about":[66],"how":[67],"effectively":[69],"visualize":[70],"crowdedness":[73],"support":[75],"informed":[76],"commuting":[77],"decisions,":[78],"when":[80,142],"using":[81,143],"ordinal":[83],"Here,":[85],"investigated":[87],"different":[88],"visualizations":[90],"effectiveness":[93],"representing":[95],"variability":[97],"reliability":[99],"They":[104],"were":[105],"evaluated":[106],"through":[107],"an":[108],"online":[109],"study,":[110],"found":[113],"that":[114],"cluster":[115],"visualization":[116],"is":[117],"best":[118],"suited":[119],"reduce":[121],"cognitive":[122],"load":[123],"while":[124],"maximizing":[125],"confidence":[127],"trust.":[129],"On":[130],"other":[132],"hand,":[133],"participants":[134],"showed":[135],"higher":[136],"accuracy":[137],"determining":[139],"crowd":[140],"levels":[141],"bubble":[144],"treemaps.":[145]},"counts_by_year":[],"updated_date":"2026-04-14T06:02:45.956762","created_date":"2026-04-13T00:00:00"}