{"id":"https://openalex.org/W4405014122","doi":"https://doi.org/10.1145/3636534.3690682","title":"MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation","display_name":"MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405014122","doi":"https://doi.org/10.1145/3636534.3690682"},"language":"en","primary_location":{"id":"doi:10.1145/3636534.3690682","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690682","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690682","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 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690682","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101954729","display_name":"Sunjae Lee","orcid":"https://orcid.org/0000-0002-2755-5511"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunjae Lee","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2755-5511","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060426408","display_name":"Junyoung Choi","orcid":"https://orcid.org/0000-0003-3357-2710"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyoung Choi","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-3357-2710","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078662664","display_name":"Jungjae Lee","orcid":"https://orcid.org/0009-0002-9235-5900"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungjae Lee","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-9235-5900","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114996457","display_name":"Munim Hasan Wasi","orcid":"https://orcid.org/0000-0001-9662-3146"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Munim Hasan Wasi","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9662-3146","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109268937","display_name":"Hangseok Choi","orcid":"https://orcid.org/0009-0009-4121-4519"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hojun Choi","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0009-4121-4519","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008736871","display_name":"Steve Ko","orcid":"https://orcid.org/0000-0003-3771-0156"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Steve Ko","raw_affiliation_strings":["Simon Fraser University, Burnaby, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3771-0156","affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038510569","display_name":"Sangeun Oh","orcid":"https://orcid.org/0000-0002-2294-6572"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangeun Oh","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2294-6572","affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077052539","display_name":"Insik Shin","orcid":"https://orcid.org/0000-0002-9128-2415"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insik Shin","raw_affiliation_strings":["Fluiz, Daejeon, Republic of Korea","School of Computing, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9128-2415","affiliations":[{"raw_affiliation_string":"Fluiz, Daejeon, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0622,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9289316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1119","last_page":"1133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9955999851226807,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9955999851226807,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7146548628807068},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5950642824172974},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5862498879432678},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4912969470024109},{"id":"https://openalex.org/keywords/human-memory","display_name":"Human memory","score":0.45845454931259155},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3677222728729248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13551023602485657},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12419390678405762},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.1112859845161438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146548628807068},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5950642824172974},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5862498879432678},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4912969470024109},{"id":"https://openalex.org/C2985957978","wikidata":"https://www.wikidata.org/wiki/Q492","display_name":"Human memory","level":3,"score":0.45845454931259155},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3677222728729248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13551023602485657},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12419390678405762},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.1112859845161438},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3636534.3690682","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690682","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690682","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 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3636534.3690682","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690682","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690682","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 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4195169929","display_name":null,"funder_award_id":"RS-2024-00347516","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405014122.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2000422468","https://openalex.org/W2610474269","https://openalex.org/W2783539613","https://openalex.org/W2911864116","https://openalex.org/W3000642371","https://openalex.org/W3092102400","https://openalex.org/W3108379454","https://openalex.org/W3156925656","https://openalex.org/W3163374010","https://openalex.org/W3195703976","https://openalex.org/W3196324446","https://openalex.org/W4221143046","https://openalex.org/W4298187317","https://openalex.org/W4306179708","https://openalex.org/W4366549767","https://openalex.org/W4366549916","https://openalex.org/W4379053622","https://openalex.org/W4385271739"],"related_works":["https://openalex.org/W2519676117","https://openalex.org/W2218202131","https://openalex.org/W2155740880","https://openalex.org/W84108837","https://openalex.org/W2131713426","https://openalex.org/W4253249845","https://openalex.org/W2125452230","https://openalex.org/W2148444631","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"The":[0,144],"advent":[1],"of":[2,15,44,77,98,137],"large":[3],"language":[4,21],"models":[5],"(LLMs)":[6],"has":[7],"opened":[8],"up":[9],"new":[10,153],"opportunities":[11],"in":[12],"the":[13,37,74,185],"field":[14],"mobile":[16,63,82,142],"task":[17,64],"automation.":[18],"Their":[19],"superior":[20],"understanding":[22],"and":[23,31,40,86,95,115,128,130,151,158,176,180],"reasoning":[24],"capabilities":[25],"allow":[26],"users":[27],"to":[28,36,161,164,184],"automate":[29,150],"complex":[30],"repetitive":[32],"tasks.":[33],"However,":[34],"due":[35],"inherent":[38],"unreliability":[39],"high":[41],"operational":[42],"cost":[43,177],"LLMs,":[45],"their":[46],"practical":[47],"applicability":[48],"is":[49,159],"quite":[50],"limited.":[51],"To":[52],"address":[53],"these":[54],"issues,":[55],"this":[56],"paper":[57],"introduces":[58],"MobileGPT1,":[59],"an":[60],"innovative":[61],"LLM-based":[62],"automator":[65],"equipped":[66],"with":[67,80,155,167],"a":[68,81,92,99,135],"human-like":[69],"app":[70],"memory.":[71],"MobileGPT":[72,122,148],"emulates":[73],"cognitive":[75],"process":[76],"humans":[78],"interacting":[79],"app---explore,":[83],"select,":[84],"derive,":[85],"recall.":[87],"This":[88],"approach":[89],"allows":[90],"for":[91,117],"more":[93],"precise":[94],"efficient":[96],"learning":[97],"task's":[100],"procedure":[101],"by":[102,178],"breaking":[103],"it":[104],"down":[105],"into":[106],"smaller,":[107],"modular":[108],"sub-tasks":[109],"that":[110,147],"can":[111,149],"be":[112],"re-used,":[113],"re-arranged,":[114],"adapted":[116],"various":[118],"objectives.":[119],"We":[120],"implement":[121],"using":[123],"online":[124],"LLMs":[125],"services":[126],"(GPT-3.5":[127],"GPT-4)":[129],"evaluate":[131],"its":[132],"performance":[133],"on":[134],"dataset":[136],"185":[138],"tasks":[139,154],"across":[140],"18":[141],"apps.":[143],"results":[145],"indicate":[146],"learn":[152],"82.7%":[156],"accuracy,":[157],"able":[160],"adapt":[162],"them":[163],"different":[165],"contexts":[166],"near":[168],"perfect":[169],"(98.75%)":[170],"accuracy":[171],"while":[172],"reducing":[173],"both":[174],"latency":[175],"62.5%":[179],"68.8%,":[181],"respectively,":[182],"compared":[183],"GPT-4":[186],"powered":[187],"baseline.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
