{"id":"https://openalex.org/W2949366704","doi":"https://doi.org/10.1145/3292500.3330730","title":"Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data","display_name":"Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2949366704","doi":"https://doi.org/10.1145/3292500.3330730","mag":"2949366704"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.repository.cam.ac.uk/handle/1810/292979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030362528","display_name":"Dimitris Spathis","orcid":"https://orcid.org/0000-0001-9761-951X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dimitris Spathis","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045207467","display_name":"Sandra Servia-Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sandra Servia-Rodriguez","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077531047","display_name":"Katayoun Farrahi","orcid":"https://orcid.org/0000-0001-6775-127X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Katayoun Farrahi","raw_affiliation_strings":["University of Southampton, Southampton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010623957","display_name":"Cecilia Mascolo","orcid":"https://orcid.org/0000-0001-9614-4380"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cecilia Mascolo","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110742408","display_name":"Jason Rentfrow","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jason Rentfrow","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4593,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94475248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2886","last_page":"2894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T13283","display_name":"Mental Health Research Topics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11519","display_name":"Digital Mental Health Interventions","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T12488","display_name":"Mental Health via Writing","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/computer-science","display_name":"Computer science","score":0.7908782958984375},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.6558013558387756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5761567950248718},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.570466160774231},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5326836705207825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5201014280319214},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.46555525064468384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.411008358001709},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11650547385215759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908782958984375},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6558013558387756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5761567950248718},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.570466160774231},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5326836705207825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5201014280319214},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.46555525064468384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.411008358001709},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11650547385215759},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3292500.3330730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:431885","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/292979","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/292979","pdf_url":"https://www.repository.cam.ac.uk/handle/1810/292979","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"pmh:oai:generic.eprints.org:1092256","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/1092256/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"doi:10.17863/cam.40130","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.40130","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:www.repository.cam.ac.uk:1810/292979","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/292979","pdf_url":"https://www.repository.cam.ac.uk/handle/1810/292979","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2071862857","display_name":null,"funder_award_id":"EP/N509620","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2395384216","display_name":null,"funder_award_id":"EP/I032673/1, EP/N509620/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2867726338","display_name":null,"funder_award_id":"EP/N509620/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3129715815","display_name":"DTP 2016-2017 University of Cambridge","funder_award_id":"EP/N509620/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3558038628","display_name":"UBhave: ubiquitous and social computing for positive behaviour change","funder_award_id":"EP/I032673/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G646680700","display_name":null,"funder_award_id":"2178667","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6788859738","display_name":"Multi-task and multi-modal deep learning on heterogenous mobile sensing data","funder_award_id":"2178667","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334653","display_name":"Jesus College, University of Cambridge","ror":"https://ror.org/013meh722"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949366704.pdf","grobid_xml":"https://content.openalex.org/works/W2949366704.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1995205893","https://openalex.org/W2041706192","https://openalex.org/W2054560711","https://openalex.org/W2056591916","https://openalex.org/W2064675550","https://openalex.org/W2066806488","https://openalex.org/W2068423403","https://openalex.org/W2102628289","https://openalex.org/W2116435618","https://openalex.org/W2123785231","https://openalex.org/W2152423878","https://openalex.org/W2156567116","https://openalex.org/W2162090451","https://openalex.org/W2268617045","https://openalex.org/W2276993316","https://openalex.org/W2417232682","https://openalex.org/W2604757304","https://openalex.org/W2605108175","https://openalex.org/W2624871570","https://openalex.org/W2744939564","https://openalex.org/W2779582454","https://openalex.org/W2949888546","https://openalex.org/W2963905884"],"related_works":["https://openalex.org/W2291261743","https://openalex.org/W1540119434","https://openalex.org/W4229598134","https://openalex.org/W2335262298","https://openalex.org/W2765982327","https://openalex.org/W2071657884","https://openalex.org/W213396585","https://openalex.org/W4237671428","https://openalex.org/W2068152137","https://openalex.org/W2358660055"],"abstract_inverted_index":{"Smartphones":[0],"have":[1],"started":[2],"to":[3,40,48,110,149],"be":[4],"used":[5],"as":[6,14,58,60],"self":[7,33],"reporting":[8,56],"tools":[9],"for":[10,132],"mental":[11],"health":[12],"state":[13],"they":[15],"accompany":[16],"individuals":[17,46],"during":[18],"their":[19],"days":[20],"and":[21,54,63,88,128],"can":[22],"therefore":[23],"gather":[24],"temporally":[25],"fine":[26],"grained":[27],"data.":[28],"However,":[29],"the":[30,49,52,55,61,66,71,103,130,145,169],"analysis":[31],"of":[32,42,51,65,95,137,153,168],"reported":[34],"mood":[35,43,96],"data":[36,170],"offers":[37],"challenges":[38],"related":[39],"non-homogeneity":[41],"assessment":[44],"among":[45],"due":[47],"complexity":[50],"feeling":[53],"scales,":[57],"well":[59],"noise":[62],"sparseness":[64],"reports":[67],"when":[68,178],"collected":[69,101],"in":[70,102],"wild.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"propose":[77],"a":[78,151],"new":[79],"end-to-end":[80],"ML":[81],"model":[82],"inspired":[83],"by":[84],"video":[85],"frame":[86],"prediction":[87,131],"machine":[89,142],"translation,":[90],"that":[91],"forecasts":[92],"future":[93,154],"sequences":[94],"from":[97,124],"previous":[98],"self-reported":[99],"moods":[100,155],"real":[104],"world":[105],"using":[106],"mobile":[107],"devices.":[108],"Contrary":[109],"traditional":[111,140],"time":[112],"series":[113],"forecasting":[114],"algorithms,":[115,144],"our":[116],"multi-task":[117,162],"encoder-decoder":[118,146],"recurrent":[119],"neural":[120],"network":[121],"learns":[122],"patterns":[123],"different":[125],"users,":[126],"allowing":[127],"improving":[129],"users":[133],"with":[134],"limited":[135],"number":[136],"self-reports.":[138],"Unlike":[139],"feature-based":[141],"learning":[143,163],"architecture":[147],"enables":[148],"forecast":[150],"sequence":[152],"rather":[156],"than":[157,177],"one":[158],"single":[159],"step.":[160],"Meanwhile,":[161],"exploits":[164],"some":[165],"unique":[166],"characteristics":[167],"(mood":[171],"is":[172],"bi-dimensional),":[173],"achieving":[174],"better":[175],"results":[176],"training":[179],"single-task":[180],"networks":[181],"or":[182],"other":[183],"classifiers.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}