{"id":"https://openalex.org/W4413679879","doi":"https://doi.org/10.23919/wiopt66569.2025.11123230","title":"Strategic Prompt Pricing for AIGC Services: A User-Centric Approach","display_name":"Strategic Prompt Pricing for AIGC Services: A User-Centric Approach","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413679879","doi":"https://doi.org/10.23919/wiopt66569.2025.11123230"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt66569.2025.11123230","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt66569.2025.11123230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100612218","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-0745-6065"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), and the School of Science and Engineering (SSE), The Chinese University of Hong Kong,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), and the School of Science and Engineering (SSE), The Chinese University of Hong Kong,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101832992","display_name":"Bing Luo","orcid":"https://orcid.org/0009-0008-5199-1226"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University,Jiangsu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University,Jiangsu","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["SSE, AIRS, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, and CSIJRI Joint Research Centre on Smart Energy Storage, The Chinese University of Hong Kong,Shenzhen,Guangdong,P.R. China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SSE, AIRS, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, and CSIJRI Joint Research Centre on Smart Energy Storage, The Chinese University of Hong Kong,Shenzhen,Guangdong,P.R. China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101495749","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0001-5129-0130"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["SSE, AIRS, and Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SSE, AIRS, and Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24411262,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.7943999767303467,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.7943999767303467,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531733274459839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531733274459839}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wiopt66569.2025.11123230","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt66569.2025.11123230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,149],"AI-generated":[4],"content":[5],"(AIGC)":[6],"services":[7],"has":[8],"created":[9],"an":[10,82],"urgent":[11],"need":[12],"for":[13,57],"effective":[14],"prompt":[15,46,67,78,97,104,151],"pricing":[16,144,152],"strategies,":[17],"yet":[18],"current":[19],"approaches":[20],"overlook":[21],"users'":[22,74],"strategic":[23],"two-step":[24],"decision-making":[25],"process":[26],"in":[27,77,117,138,153],"selecting":[28],"and":[29,48,51,80],"utilizing":[30],"generative":[31],"AI":[32],"models.":[33],"This":[34],"oversight":[35],"creates":[36],"two":[37],"key":[38],"technical":[39],"challenges:":[40],"quantifying":[41],"the":[42,147],"relationship":[43],"between":[44],"user":[45,59],"capabilities":[47],"generation":[49],"outcomes,":[50],"optimizing":[52],"platform":[53,139],"payoff":[54,140],"while":[55],"accounting":[56],"heterogeneous":[58],"behaviors.":[60],"We":[61],"address":[62],"these":[63],"challenges":[64],"by":[65],"introducing":[66],"ambiguity,":[68],"a":[69,91,123],"theoretical":[70],"framework":[71],"that":[72,128],"captures":[73],"varying":[75],"abilities":[76],"engineering,":[79],"developing":[81],"Optimal":[83],"Prompt":[84],"Pricing":[85],"(OPP)":[86],"algorithm.":[87],"Our":[88],"analysis":[89],"reveals":[90],"counterintuitive":[92],"insight:":[93],"users":[94],"with":[95,111],"higher":[96],"ambiguity":[98,112],"(i.e.,":[99],"lower":[100],"capability)":[101],"exhibit":[102],"non-monotonic":[103],"usage":[105],"patterns,":[106],"first":[107],"increasing":[108],"then":[109],"decreasing":[110],"levels,":[113],"reflecting":[114],"complex":[115],"changes":[116],"marginal":[118],"utility.":[119],"Experimental":[120],"evaluation":[121],"using":[122],"character-level":[124],"GPT-like":[125],"model":[126],"demonstrates":[127],"our":[129],"OPP":[130],"algorithm":[131],"achieves":[132],"up":[133],"to":[134,142],"31.72":[135],"%":[136],"improvement":[137],"compared":[141],"existing":[143],"mechanisms,":[145],"validating":[146],"importance":[148],"user-centric":[150],"AIGC":[154],"services.":[155]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}