{"id":"https://openalex.org/W2962898250","doi":"https://doi.org/10.1109/acii.2019.8925447","title":"Happiness Entailment: Automating Suggestions for Well-Being","display_name":"Happiness Entailment: Automating Suggestions for Well-Being","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2962898250","doi":"https://doi.org/10.1109/acii.2019.8925447","mag":"2962898250"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2019.8925447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2019.8925447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.10036","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048430709","display_name":"Sara Evensen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sara Evensen","raw_affiliation_strings":["Megagon Labs"],"affiliations":[{"raw_affiliation_string":"Megagon Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072690374","display_name":"Yoshihiko Suhara","orcid":"https://orcid.org/0000-0001-7554-2865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoshihiko Suhara","raw_affiliation_strings":["Megagon Labs"],"affiliations":[{"raw_affiliation_string":"Megagon Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067621853","display_name":"Alon Halevy","orcid":"https://orcid.org/0000-0002-8717-7356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alon Halevy","raw_affiliation_strings":["Megagon Labs"],"affiliations":[{"raw_affiliation_string":"Megagon Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020214405","display_name":"Vivian Li","orcid":"https://orcid.org/0000-0003-2041-0085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vivian Li","raw_affiliation_strings":["Megagon Labs"],"affiliations":[{"raw_affiliation_string":"Megagon Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026007789","display_name":"Wang-Chiew Tan","orcid":"https://orcid.org/0009-0003-4659-2291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang-Chiew Tan","raw_affiliation_strings":["Megagon Labs"],"affiliations":[{"raw_affiliation_string":"Megagon Labs","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027336500","display_name":"Saran Mumick","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saran Mumick","raw_affiliation_strings":["University of Pennsylvania","#N#               * University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048430709"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10166906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10475","display_name":"Psychological Well-being and Life Satisfaction","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10475","display_name":"Psychological Well-being and Life Satisfaction","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12485","display_name":"Optimism, Hope, and Well-being","score":0.9941999912261963,"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/T13283","display_name":"Mental Health Research Topics","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/happiness","display_name":"Happiness","score":0.8825674057006836},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7522293329238892},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7420697212219238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807729005813599},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.5240278840065002},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48477548360824585},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43367719650268555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42410963773727417},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38815316557884216},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36205172538757324},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3574475049972534},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3554930090904236},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34381556510925293},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.25551414489746094}],"concepts":[{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.8825674057006836},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7522293329238892},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7420697212219238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807729005813599},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.5240278840065002},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48477548360824585},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43367719650268555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42410963773727417},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38815316557884216},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36205172538757324},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3574475049972534},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3554930090904236},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34381556510925293},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25551414489746094},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/acii.2019.8925447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2019.8925447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.10036","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.10036","pdf_url":"https://arxiv.org/pdf/1907.10036","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2962898250","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1907.10036","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.10036","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.10036","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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:arXiv.org:1907.10036","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.10036","pdf_url":"https://arxiv.org/pdf/1907.10036","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962898250.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W580080035","https://openalex.org/W1670606950","https://openalex.org/W1741920700","https://openalex.org/W1840435438","https://openalex.org/W1970381522","https://openalex.org/W1993933064","https://openalex.org/W2005190530","https://openalex.org/W2022211669","https://openalex.org/W2070808447","https://openalex.org/W2081155210","https://openalex.org/W2099465406","https://openalex.org/W2108577177","https://openalex.org/W2129541416","https://openalex.org/W2134419850","https://openalex.org/W2155002669","https://openalex.org/W2413794162","https://openalex.org/W2492882406","https://openalex.org/W2525127255","https://openalex.org/W2941153755","https://openalex.org/W2941870061","https://openalex.org/W2942113944","https://openalex.org/W2958052097","https://openalex.org/W2963036032","https://openalex.org/W2963386218","https://openalex.org/W2963918774","https://openalex.org/W2964030814","https://openalex.org/W3000046776","https://openalex.org/W4229733799","https://openalex.org/W6674385629","https://openalex.org/W6679344019","https://openalex.org/W6735377749","https://openalex.org/W6747737233","https://openalex.org/W6761702375","https://openalex.org/W6762326144","https://openalex.org/W6772333331"],"related_works":["https://openalex.org/W2995543444","https://openalex.org/W71664507","https://openalex.org/W2075302661","https://openalex.org/W177206555","https://openalex.org/W1570363463","https://openalex.org/W1983896424","https://openalex.org/W2069958126","https://openalex.org/W2739238514","https://openalex.org/W921005258","https://openalex.org/W178881322","https://openalex.org/W2613058744","https://openalex.org/W2185439651","https://openalex.org/W2263404964","https://openalex.org/W1535642800","https://openalex.org/W3142794696","https://openalex.org/W241803415","https://openalex.org/W2898478210","https://openalex.org/W2252801700","https://openalex.org/W2066040066","https://openalex.org/W1490259388"],"abstract_inverted_index":{"Understanding":[0],"what":[1,43],"makes":[2],"people":[3],"happy":[4,77,188],"is":[5,40,140,156],"a":[6,66,82,112,123,129,134,159],"central":[7],"topic":[8],"in":[9,50,102,186],"psychology.":[10],"Prior":[11],"work":[12],"has":[13],"mostly":[14],"focused":[15],"on":[16,25,69,150],"developing":[17],"self-reporting":[18],"assessment":[19],"tools":[20],"for":[21,92,146,167,173],"individuals":[22,55],"and":[23,88,132,171,190,199,223],"relies":[24],"experts":[26],"to":[27,41,47,56,98,143,181],"analyze":[28,85],"the":[29,35,38,51,54,70,73,93,114,138,151,168,174,187,206,221,226],"periodic":[30],"reported":[31],"assessments.":[32],"One":[33],"of":[34,37,53,110,197,218,225],"goals":[36],"analysis":[39],"understand":[42],"actions":[44],"are":[45],"necessary":[46,108],"encourage":[48],"modifications":[49],"behaviors":[52],"improve":[57],"their":[58],"overall":[59,100],"well-being.":[60,104],"In":[61],"this":[62,147],"paper,":[63],"we":[64],"outline":[65],"complementary":[67],"approach;":[68],"assumption":[71],"that":[72,95],"user":[74,94,148,169],"journals":[75],"her":[76,103],"moments":[78],"as":[79,121,158,203,205],"short":[80,124],"texts,":[81],"system":[83],"can":[84],"these":[86],"texts":[87],"propose":[89],"sustainable":[90],"suggestions":[91],"may":[96],"lead":[97],"an":[99,127,195],"improvement":[101],"We":[105],"prototype":[106],"one":[107,166,172],"component":[109,155],"such":[111],"system,":[113],"Happiness":[115],"Entailment":[116,210],"Recognition":[117],"(HER)module,":[118],"which":[119],"takes":[120],"input":[122,170],"text":[125],"describing":[126],"event,":[128],"candidate":[130,175],"suggestion,":[131,177],"outputs":[133],"determination":[135],"about":[136],"whether":[137],"suggestion":[139],"more":[141,215],"likely":[142],"be":[144],"good":[145],"based":[149],"event":[152],"described.":[153],"This":[154],"implemented":[157],"neural":[160],"network":[161],"model":[162,193,211],"with":[163,178],"two":[164],"encoders,":[165],"actionable":[176],"additional":[179],"layers":[180],"capture":[182],"psychologically":[183],"significant":[184],"features":[185],"moment":[189],"suggestion.":[191],"Our":[192],"achieves":[194],"AU-ROC":[196],"0.831":[198],"outperforms":[200],"our":[201],"baseline":[202],"well":[204],"current":[207],"state-of-the-art":[208],"Textual":[209],"from":[212],"AllenNLP":[213],"by":[214],"than":[216],"48%":[217],"improvements,":[219],"confirming":[220],"uniqueness":[222],"complexity":[224],"HER":[227],"task.":[228]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}