{"id":"https://openalex.org/W4387421448","doi":"https://doi.org/10.1145/3594739.3612876","title":"Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study","display_name":"Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421448","doi":"https://doi.org/10.1145/3594739.3612876"},"language":"en","primary_location":{"id":"doi:10.1145/3594739.3612876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3612876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","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/A5051350118","display_name":"Neha Manjunath","orcid":"https://orcid.org/0009-0001-7717-9980"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neha Manjunath","raw_affiliation_strings":["Cornell Tech, United States"],"raw_orcid":"https://orcid.org/0009-0001-7717-9980","affiliations":[{"raw_affiliation_string":"Cornell Tech, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026267986","display_name":"Ze Yuan Li","orcid":"https://orcid.org/0009-0005-3940-1324"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ze Yuan Li","raw_affiliation_strings":["Cornell Tech, United States"],"raw_orcid":"https://orcid.org/0009-0005-3940-1324","affiliations":[{"raw_affiliation_string":"Cornell Tech, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008225985","display_name":"Eunsol Soul Choi","orcid":"https://orcid.org/0009-0005-1365-0701"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eunsol Soul Choi","raw_affiliation_strings":["Cornell Tech, United States"],"raw_orcid":"https://orcid.org/0009-0005-1365-0701","affiliations":[{"raw_affiliation_string":"Cornell Tech, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054410295","display_name":"Srijan Sen","orcid":"https://orcid.org/0000-0003-4495-495X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srijan Sen","raw_affiliation_strings":["University of Michigan, United States"],"raw_orcid":"https://orcid.org/0000-0003-4495-495X","affiliations":[{"raw_affiliation_string":"University of Michigan, United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455768","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-9459-9461"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Weill Cornell Medicine, United States"],"raw_orcid":"https://orcid.org/0000-0001-9459-9461","affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, United States","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101430722","display_name":"Daniel A. Adler","orcid":"https://orcid.org/0000-0003-3328-0312"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel A. Adler","raw_affiliation_strings":["Cornell Tech, United States"],"raw_orcid":"https://orcid.org/0000-0003-3328-0312","affiliations":[{"raw_affiliation_string":"Cornell Tech, United States","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051350118"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.7463,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7372082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"632","last_page":"637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":1.0,"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":1.0,"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":0.9987999796867371,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8835101127624512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7540253400802612},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7458765506744385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685773134231567},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.580048680305481},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5669717192649841},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.4665185213088989},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45954081416130066},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.43200817704200745},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1099102795124054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08727249503135681}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8835101127624512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540253400802612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7458765506744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685773134231567},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.580048680305481},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5669717192649841},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.4665185213088989},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45954081416130066},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.43200817704200745},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1099102795124054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08727249503135681},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594739.3612876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3612876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1732298351","display_name":null,"funder_award_id":"DGE-2139899","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G26748748","display_name":null,"funder_award_id":"R01MH101459","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1204490507","https://openalex.org/W1894490285","https://openalex.org/W2048533792","https://openalex.org/W2063172343","https://openalex.org/W2154410406","https://openalex.org/W2192454956","https://openalex.org/W2295598076","https://openalex.org/W2516086211","https://openalex.org/W2520441859","https://openalex.org/W2620664872","https://openalex.org/W2779582454","https://openalex.org/W2793321675","https://openalex.org/W2810632432","https://openalex.org/W2913340405","https://openalex.org/W2954996726","https://openalex.org/W3008872739","https://openalex.org/W3045066320","https://openalex.org/W3046296398","https://openalex.org/W3086632078","https://openalex.org/W3087590708","https://openalex.org/W3101667008","https://openalex.org/W3173464203","https://openalex.org/W3181625273","https://openalex.org/W3211553316","https://openalex.org/W4200467880","https://openalex.org/W4214825345","https://openalex.org/W4226474215","https://openalex.org/W4293900347","https://openalex.org/W4308613145","https://openalex.org/W4319837253"],"related_works":["https://openalex.org/W2167883292","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644"],"abstract_inverted_index":{"Mobile":[0],"sensing":[1,44,87,112],"data,":[2,92,149],"approximating":[3],"human":[4],"behavior":[5],"and":[6,45,88,93,122,134,164],"physiology,":[7],"can":[8],"be":[9],"processed":[10],"by":[11],"machine":[12,74,103],"learning":[13,75,104],"models":[14,22],"to":[15,40,52,160,168],"predict":[16],"mental":[17,46,89,173],"health":[18,47,90,174],"symptoms.":[19],"While":[20],"these":[21,73],"are":[23],"accurate":[24],"in":[25,32],"smaller":[26],"samples,":[27,34],"their":[28],"generalization":[29],"accuracy":[30],"decreases":[31],"larger":[33],"potentially":[35],"because":[36],"it":[37],"is":[38],"difficult":[39],"collect":[41],"enough":[42],"mobile":[43,86],"outcomes":[48,91],"data":[49,63,66,80,125,143],"at":[50],"scale":[51],"enable":[53],"generalization.":[54],"In":[55],"this":[56,98],"study,":[57],"we":[58],"hypothesized":[59],"that":[60,83,141],"augmenting":[61],"training":[62],"with":[64,116],"synthetic":[65,85,148],"samples":[67],"could":[68],"improve":[69,153,169],"the":[70,95,101,142,170],"generalizability":[71,171],"of":[72,97,106,172],"models.":[76,177],"We":[77,114,156],"created":[78],"a":[79],"augmentation":[81,126,144],"system":[82,99,145],"generated":[84,146],"evaluated":[94],"utility":[96],"via":[100],"downstream":[102],"task":[105],"predicting":[107],"daily":[108],"mood":[109,154],"from":[110],"wearable":[111],"data.":[113],"experimented":[115],"both":[117],"simple":[118],"(e.g.":[119],"noise":[120],"addition)":[121],"novel":[123],"generative":[124,131],"methods,":[127],"based":[128],"upon":[129],"conditional":[130],"adversarial":[132],"networks":[133],"multi-task":[135],"learning.":[136],"Our":[137],"initial":[138],"findings":[139,163],"suggest":[140],"realistic":[147],"but":[150],"did":[151],"not":[152],"prediction.":[155],"propose":[157],"future":[158],"work":[159],"validate":[161],"our":[162],"test":[165],"other":[166],"methods":[167],"symptom":[175],"prediction":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
