{"id":"https://openalex.org/W3093184726","doi":"https://doi.org/10.1145/3394171.3413591","title":"PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage","display_name":"PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093184726","doi":"https://doi.org/10.1145/3394171.3413591","mag":"3093184726"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","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/A5082900419","display_name":"Songcheng Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songcheng Gao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004218295","display_name":"Wenzhong Li","orcid":"https://orcid.org/0000-0002-9199-3655"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhong Li","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069317875","display_name":"Lynda Jiwen Song","orcid":"https://orcid.org/0000-0002-0969-4091"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lynda J. Song","raw_affiliation_strings":["University of Leeds, Leeds, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026121963","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-7392-3477"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101068353","display_name":"Mingkai Lin","orcid":"https://orcid.org/0000-0003-4911-6218"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkai Lin","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043533769","display_name":"Sanglu Lu","orcid":"https://orcid.org/0000-0003-1467-4519"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanglu Lu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8058,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83243499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2862","last_page":"2870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.7637643814086914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7016204595565796},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.6796420812606812},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6535215377807617},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.614614725112915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5699648261070251},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5552248954772949},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5382238626480103},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.537405788898468},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4575693905353546},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3700893521308899},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3520719110965729},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19690990447998047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16194400191307068},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11171019077301025},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08367958664894104}],"concepts":[{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.7637643814086914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016204595565796},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.6796420812606812},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6535215377807617},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.614614725112915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5699648261070251},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5552248954772949},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5382238626480103},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.537405788898468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4575693905353546},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3700893521308899},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3520719110965729},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19690990447998047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16194400191307068},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11171019077301025},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08367958664894104},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394171.3413591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:168960","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W163418743","https://openalex.org/W187208967","https://openalex.org/W1480376833","https://openalex.org/W1966732563","https://openalex.org/W1973872977","https://openalex.org/W1997993947","https://openalex.org/W2002295320","https://openalex.org/W2046033161","https://openalex.org/W2056068852","https://openalex.org/W2102630986","https://openalex.org/W2103496339","https://openalex.org/W2107474781","https://openalex.org/W2119821739","https://openalex.org/W2132494154","https://openalex.org/W2137226992","https://openalex.org/W2155100223","https://openalex.org/W2162090451","https://openalex.org/W2189410119","https://openalex.org/W2340342336","https://openalex.org/W2415188425","https://openalex.org/W2517194566","https://openalex.org/W2532126343","https://openalex.org/W2594645841","https://openalex.org/W2762632520","https://openalex.org/W2890044169","https://openalex.org/W2890085824","https://openalex.org/W2913340405","https://openalex.org/W3043210715","https://openalex.org/W4236444672","https://openalex.org/W4238095402","https://openalex.org/W4255111642","https://openalex.org/W6686932990"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4390608645","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372"],"abstract_inverted_index":{"Assessing":[0],"individual's":[1],"personality":[2,13,59,105,131],"traits":[3,60,106],"has":[4],"important":[5],"implications":[6],"in":[7,130],"psychology,":[8],"sociology,":[9],"and":[10,21,42,75,100],"economics.":[11],"Conventional":[12],"measurement":[14],"methods":[15],"were":[16],"questionnaire-based,":[17],"which":[18],"are":[19],"time-consuming":[20],"manpower-expensive.":[22],"With":[23],"the":[24,79,97,102,112,122,127],"pervasive":[25],"deployment":[26],"of":[27],"mobile":[28],"communication":[29],"applications,":[30],"smartphone":[31,63,68,114],"usage":[32,69],"data":[33,115],"was":[34],"found":[35],"to":[36,38,54,95],"relate":[37],"people's":[39,56],"social":[40],"behavioral":[41],"psychological":[43],"aspects.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,66],"propose":[49,83],"a":[50,84,90],"deep":[51,91],"learning":[52,87],"approach":[53,88,124],"infer":[55],"Big":[57,103],"Five":[58,104],"based":[61,110],"on":[62,111],"data.":[64,81],"Specifically,":[65],"collect":[67],"snapshots":[70],"with":[71,89],"an":[72],"Android":[73],"App,":[74],"extract":[76],"features":[77,99],"from":[78,117],"collected":[80,116],"We":[82],"multi-view":[85],"multi-task":[86],"neural":[92],"network":[93],"model":[94],"fuse":[96],"extracted":[98],"learn":[101],"jointly.":[107],"Extensive":[108],"experiments":[109],"real-world":[113],"university":[118],"volunteers":[119],"show":[120],"that":[121],"proposed":[123],"significantly":[125],"outperforms":[126],"state-of-the-art":[128],"algorithms":[129],"prediction.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
