{"id":"https://openalex.org/W7140589359","doi":"https://doi.org/10.48550/arxiv.2603.24014","title":"Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing","display_name":"Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140589359","doi":"https://doi.org/10.48550/arxiv.2603.24014"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24014","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24014","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.24014","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125725867","display_name":"Xusen Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Xusen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130674199","display_name":"Mingxing Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Mingxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129600051","display_name":"Hongliang Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Hongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130691287","display_name":"Hai Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Hai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130705720","display_name":"Jun Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130678887","display_name":"Yuxuan Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Yuxuan","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":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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.4634000062942505,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.4634000062942505,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.25679999589920044,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.021700000390410423,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/participatory-sensing","display_name":"Participatory sensing","score":0.9287999868392944},{"id":"https://openalex.org/keywords/citizen-journalism","display_name":"Citizen journalism","score":0.5849999785423279},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5349000096321106},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.46480000019073486},{"id":"https://openalex.org/keywords/citizen-science","display_name":"Citizen science","score":0.4406000077724457},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.4088999927043915},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3743000030517578},{"id":"https://openalex.org/keywords/participatory-action-research","display_name":"Participatory action research","score":0.34369999170303345}],"concepts":[{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.9287999868392944},{"id":"https://openalex.org/C203663800","wikidata":"https://www.wikidata.org/wiki/Q848979","display_name":"Citizen journalism","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5537999868392944},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5349000096321106},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C140988679","wikidata":"https://www.wikidata.org/wiki/Q7140444","display_name":"Participatory action research","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C2994339824","wikidata":"https://www.wikidata.org/wiki/Q7649624","display_name":"Urban sustainability","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C2986162411","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban environment","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C33741171","wikidata":"https://www.wikidata.org/wiki/Q7140441","display_name":"Participatory GIS","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C91375879","wikidata":"https://www.wikidata.org/wiki/Q15473274","display_name":"Environmental planning","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C2778969656","wikidata":"https://www.wikidata.org/wiki/Q7140449","display_name":"Participatory evaluation","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2597000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2551000118255615},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24014","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24014","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"doi:10.48550/arxiv.2603.24014","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24014","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.766342282295227,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Participatory":[0],"urban":[1,8,33,47,100],"sensing":[2,72,86,101],"leverages":[3],"human":[4],"mobility":[5],"for":[6,42],"large-scale":[7],"data":[9],"collection,":[10],"yet":[11],"existing":[12],"methods":[13],"typically":[14],"rely":[15],"on":[16,78],"centralized":[17],"optimization":[18],"and":[19,31,44,61,70,93,98],"assume":[20],"homogeneous":[21],"participants,":[22],"resulting":[23],"in":[24],"rigid":[25],"assignments":[26],"that":[27,82],"overlook":[28],"personal":[29],"preferences":[30],"heterogeneous":[32],"contexts.":[34],"We":[35],"propose":[36],"MAPUS,":[37],"an":[38],"LLM-based":[39],"multi-agent":[40],"framework":[41],"personalized":[43],"fair":[45],"participatory":[46],"sensing.":[48],"In":[49],"our":[50],"framework,":[51],"participants":[52],"are":[53],"modeled":[54],"as":[55],"autonomous":[56],"agents":[57],"with":[58],"individual":[59],"profiles":[60],"schedules,":[62],"while":[63,88],"a":[64],"coordinator":[65],"agent":[66],"performs":[67],"fairness-aware":[68],"selection":[69],"refines":[71],"routes":[73],"through":[74],"language-based":[75],"negotiation.":[76],"Experiments":[77],"real-world":[79],"datasets":[80],"show":[81],"MAPUS":[83],"achieves":[84],"competitive":[85],"coverage":[87],"substantially":[89],"improving":[90],"participant":[91],"satisfaction":[92],"fairness,":[94],"promoting":[95],"more":[96],"human-centric":[97],"sustainable":[99],"systems.":[102]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-27T00:00:00"}