{"id":"https://openalex.org/W3022161295","doi":"https://doi.org/10.1145/3313831.3376504","title":"Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data","display_name":"Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3022161295","doi":"https://doi.org/10.1145/3313831.3376504","mag":"3022161295"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/20.500.11850/442912","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015553607","display_name":"Rafael Wampfler","orcid":"https://orcid.org/0000-0003-0158-1305"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Rafael Wampfler","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038336611","display_name":"Severin Klingler","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Severin Klingler","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069878201","display_name":"Barbara Solenthaler","orcid":"https://orcid.org/0000-0001-7494-8660"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Barbara Solenthaler","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056293017","display_name":"Victor R. Schinazi","orcid":"https://orcid.org/0000-0002-2345-2806"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Victor R. Schinazi","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Markus Gross","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015553607"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":3.9178,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93752082,"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":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9972000122070312,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/valence","display_name":"Valence (chemistry)","score":0.7185689210891724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682156324386597},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.5694037675857544},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5674135088920593},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5514345765113831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4983243942260742},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48849523067474365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4677698016166687},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44933953881263733},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16000041365623474}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7185689210891724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682156324386597},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5694037675857544},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5674135088920593},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5514345765113831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4983243942260742},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48849523067474365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4677698016166687},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44933953881263733},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16000041365623474},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3313831.3376504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/442912","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/442912","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"doi:10.3929/ethz-b-000442912","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000442912","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","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-journal"}],"best_oa_location":{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/442912","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/442912","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320327714","display_name":"ETH Z\u00fcrich Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W608846655","https://openalex.org/W973843712","https://openalex.org/W1589728983","https://openalex.org/W1777859530","https://openalex.org/W1795932269","https://openalex.org/W1969135658","https://openalex.org/W1976081290","https://openalex.org/W1978986669","https://openalex.org/W1979538975","https://openalex.org/W1985269311","https://openalex.org/W1995520591","https://openalex.org/W1997400788","https://openalex.org/W2001829221","https://openalex.org/W2024221294","https://openalex.org/W2038237601","https://openalex.org/W2056591916","https://openalex.org/W2060118520","https://openalex.org/W2065340646","https://openalex.org/W2068349382","https://openalex.org/W2075159025","https://openalex.org/W2078671978","https://openalex.org/W2086620637","https://openalex.org/W2096309085","https://openalex.org/W2102998034","https://openalex.org/W2107661464","https://openalex.org/W2107749192","https://openalex.org/W2111181238","https://openalex.org/W2111866722","https://openalex.org/W2115732803","https://openalex.org/W2132322340","https://openalex.org/W2133164461","https://openalex.org/W2142057670","https://openalex.org/W2144279833","https://openalex.org/W2152423878","https://openalex.org/W2167557160","https://openalex.org/W2167801237","https://openalex.org/W2317928159","https://openalex.org/W2324044936","https://openalex.org/W2514896623","https://openalex.org/W2602856279","https://openalex.org/W2605961645","https://openalex.org/W2623779865","https://openalex.org/W2751784437","https://openalex.org/W2753738274","https://openalex.org/W2784512264","https://openalex.org/W2889194389","https://openalex.org/W2889401669","https://openalex.org/W2929751249","https://openalex.org/W2940469880","https://openalex.org/W2945186361","https://openalex.org/W2949416428","https://openalex.org/W2962770929","https://openalex.org/W2964121744","https://openalex.org/W2964208452","https://openalex.org/W2965446352","https://openalex.org/W3098017922","https://openalex.org/W3099069192","https://openalex.org/W3141140455","https://openalex.org/W3210232381","https://openalex.org/W4240768087"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2085024878","https://openalex.org/W2087245461","https://openalex.org/W4310841718"],"abstract_inverted_index":{"Gaining":[0],"awareness":[1],"of":[2,79,109,131],"the":[3,17,31,94,129],"user's":[4,18,32],"affective":[5,44,67,137],"states":[6,45,138],"enables":[7],"smartphones":[8],"to":[9,16,64,74,113,118,124,134],"support":[10],"enriched":[11],"interactions":[12],"that":[13,29],"are":[14],"sensitive":[15],"context.":[19],"To":[20],"accomplish":[21],"this":[22],"on":[23,60,141],"smartphones,":[24],"we":[25,69],"propose":[26],"a":[27,37,53,71,98],"system":[28,102],"analyzes":[30],"text":[33,61],"typing":[34],"behavior":[35],"using":[36],"semi-supervised":[38],"deep":[39],"learning":[40],"pipeline":[41],"for":[42],"predicting":[43],"measured":[46],"by":[47],"valence,":[48],"arousal,":[49],"and":[50,120],"dominance.":[51],"Using":[52,93],"data":[54,86],"collection":[55],"study":[56],"with":[57],"70":[58],"participants":[59,88],"conversations":[62],"designed":[63],"trigger":[65],"different":[66],"responses,":[68],"developed":[70],"variational":[72],"auto-encoder":[73],"learn":[75],"efficient":[76],"feature":[77],"embeddings":[78],"two-dimensional":[80],"heat":[81],"maps":[82],"generated":[83],"from":[84],"touch":[85,142],"while":[87],"engaged":[89],"in":[90,97],"these":[91],"conversations.":[92],"learned":[95],"embedding":[96],"cross-validated":[99],"analysis,":[100],"our":[101,132],"predicted":[103],"three":[104],"levels":[105],"(low,":[106],"medium,":[107],"high)":[108],"valence":[110],"(AUC":[111,116,122],"up":[112,117,123],"0.84),":[114],"arousal":[115],"0.82),":[119],"dominance":[121],"0.82).":[125],"These":[126],"results":[127],"demonstrate":[128],"feasibility":[130],"approach":[133],"accurately":[135],"predict":[136],"based":[139],"only":[140],"data.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
