{"id":"https://openalex.org/W4399319914","doi":"https://doi.org/10.1145/3643832.3661397","title":"Poster: Efficient and Accurate Mobile Task Automation through Learning from Code","display_name":"Poster: Efficient and Accurate Mobile Task Automation through Learning from Code","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4399319914","doi":"https://doi.org/10.1145/3643832.3661397"},"language":"en","primary_location":{"id":"doi:10.1145/3643832.3661397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643832.3661397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643832.3661397","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services","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/10.1145/3643832.3661397","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042671591","display_name":"Shihe Wang","orcid":"https://orcid.org/0009-0001-6883-2036"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shihe Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047883479","display_name":"Li Lyna Zhang","orcid":"https://orcid.org/0000-0003-0779-8310"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089690212","display_name":"Mengwei Xu","orcid":"https://orcid.org/0000-0001-6271-6993"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwei Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042671591"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07329104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"638","last_page":"639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9599999785423279,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9599999785423279,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9488999843597412,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9277999997138977,"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":0.7881872653961182},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6737385988235474},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6575680375099182},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5285933017730713},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4343186020851135},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.40611353516578674},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3685104548931122},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.36623528599739075},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3543078303337097},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12779927253723145},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.090707927942276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881872653961182},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6737385988235474},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6575680375099182},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5285933017730713},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4343186020851135},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.40611353516578674},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3685104548931122},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36623528599739075},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3543078303337097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12779927253723145},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.090707927942276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643832.3661397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643832.3661397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643832.3661397","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3643832.3661397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643832.3661397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643832.3661397","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399319914.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2519676117","https://openalex.org/W2218202131","https://openalex.org/W84108837","https://openalex.org/W2155740880","https://openalex.org/W2131713426","https://openalex.org/W4253249845","https://openalex.org/W2125452230","https://openalex.org/W2148444631","https://openalex.org/W1988425686","https://openalex.org/W971421295"],"abstract_inverted_index":{"With":[0],"the":[1,31,40,54,60,72,84,92,106],"emergence":[2],"and":[3,42,82,102],"continuous":[4],"prosperity":[5],"of":[6,44,75,91,109],"large":[7],"language":[8],"models":[9],"(LLMs),":[10],"artificial":[11],"intelligence":[12],"(AI)":[13],"agents":[14,22],"have":[15],"experienced":[16],"rapid":[17],"advancements.":[18],"Most":[19],"mobile":[20,45,64,76],"AI":[21],"merely":[23],"imitate":[24],"human":[25,32],"operations,":[26],"executing":[27],"actions":[28],"based":[29],"on":[30,98],"user":[33],"interface":[34],"(UI).":[35],"The":[36,89],"restricted":[37],"input":[38],"impairs":[39],"efficiency":[41],"accuracy":[43],"tasks.":[46],"We":[47],"propose":[48],"an":[49],"unexplored":[50],"approach:":[51],"learning":[52],"from":[53],"source":[55],"code.":[56],"Source":[57],"code":[58],"is":[59,95],"plain":[61],"interaction":[62],"for":[63],"applications,":[65],"which":[66],"can":[67],"be":[68],"used":[69],"to":[70],"enhance":[71],"UI":[73],"understanding":[74],"agents,":[77],"improve":[78],"action":[79,86],"execution":[80],"accuracy,":[81],"reduce":[83],"average":[85,107],"completion":[87,111],"steps.":[88],"implementation":[90],"agent":[93],"prototype":[94],"preliminary":[96],"evaluated":[97],"5":[99],"open-source":[100],"applications":[101],"22":[103],"tasks,":[104],"reducing":[105],"number":[108],"task":[110],"steps":[112],"by":[113],"54%.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
