{"id":"https://openalex.org/W2044526641","doi":"https://doi.org/10.1145/2800835.2804396","title":"Impact of experience sampling methods on tap pattern based emotion recognition","display_name":"Impact of experience sampling methods on tap pattern based emotion recognition","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2044526641","doi":"https://doi.org/10.1145/2800835.2804396","mag":"2044526641"},"language":"en","primary_location":{"id":"doi:10.1145/2800835.2804396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2800835.2804396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.cwi.nl/pub/29532/29532.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051854503","display_name":"Surjya Ghosh","orcid":"https://orcid.org/0000-0002-0226-0733"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surjya Ghosh","raw_affiliation_strings":["IIT Kharagpur WB, India","IIT Kharagpur, WB, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur WB, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"IIT Kharagpur, WB, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085922813","display_name":"Vatsalya Chauhan","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vatsalya Chauhan","raw_affiliation_strings":["IIT Kharagpur WB, India","IIT Kharagpur, WB, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur WB, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"IIT Kharagpur, WB, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073812421","display_name":"Niloy Ganguly","orcid":"https://orcid.org/0000-0002-3967-186X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niloy Ganguly","raw_affiliation_strings":["IIT Kharagpur WB, India","IIT Kharagpur, WB, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur WB, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"IIT Kharagpur, WB, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008904693","display_name":"Bivas Mitra","orcid":"https://orcid.org/0000-0003-4668-8771"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bivas Mitra","raw_affiliation_strings":["IIT Kharagpur WB, India","IIT Kharagpur, WB, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur WB, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"IIT Kharagpur, WB, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090678082","display_name":"Pradipta De","orcid":"https://orcid.org/0000-0003-3263-8191"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pradipta De","raw_affiliation_strings":["SUNY Korea Incheon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUNY Korea Incheon, Korea","institution_ids":["https://openalex.org/I4210116376"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4237,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65082956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"713","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9944999814033508,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.988099992275238,"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/experience-sampling-method","display_name":"Experience sampling method","score":0.8217936754226685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7707743048667908},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6572407484054565},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6527258157730103},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5744863748550415},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5483442544937134},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5433666110038757},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5139024257659912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42938265204429626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39418479800224304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14618659019470215},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11363503336906433}],"concepts":[{"id":"https://openalex.org/C65499552","wikidata":"https://www.wikidata.org/wiki/Q5421061","display_name":"Experience sampling method","level":2,"score":0.8217936754226685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7707743048667908},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6572407484054565},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6527258157730103},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5744863748550415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5483442544937134},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5433666110038757},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5139024257659912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42938265204429626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39418479800224304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14618659019470215},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11363503336906433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2800835.2804396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2800835.2804396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15","raw_type":"proceedings-article"},{"id":"pmh:cwi:oai:cwi.nl:29532","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/29532","pdf_url":"https://ir.cwi.nl/pub/29532/29532.pdf","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceproceedings"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.1554","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.1554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.facweb.iitkgp.ernet.in/%7Eniloy/PAPER/2015-MCSS-Impact%20of%20ESM.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:cwi:oai:cwi.nl:29532","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/29532","pdf_url":"https://ir.cwi.nl/pub/29532/29532.pdf","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceproceedings"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6742738205","display_name":null,"funder_award_id":"NIPA-2013-H0203-13-1001","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G822302601","display_name":null,"funder_award_id":"NIPA-2013-H0203-13-1001","funder_id":"https://openalex.org/F4320322065","funder_display_name":"National IT Industry Promotion Agency"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2044526641.pdf","grobid_xml":"https://content.openalex.org/works/W2044526641.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W614205468","https://openalex.org/W1978986669","https://openalex.org/W1979538975","https://openalex.org/W2038237601","https://openalex.org/W2042452443","https://openalex.org/W2099913530","https://openalex.org/W2140391826","https://openalex.org/W2142057670","https://openalex.org/W2144279833","https://openalex.org/W2152423878","https://openalex.org/W2156567116","https://openalex.org/W2165996021","https://openalex.org/W2500118862"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2963058055","https://openalex.org/W2511279186","https://openalex.org/W2754141758","https://openalex.org/W2045628539","https://openalex.org/W4206876620","https://openalex.org/W2380287306","https://openalex.org/W3129604848","https://openalex.org/W2964817253"],"abstract_inverted_index":{"Smartphone":[0],"based":[1,83,117,120],"emotion":[2,131],"recognition":[3],"uses":[4],"predictive":[5,13],"modeling":[6],"to":[7,38,52,65,123],"recognize":[8],"user's":[9],"mental":[10,43],"states.":[11,44],"In":[12],"modeling,":[14],"determining":[15],"ground":[16],"truth":[17],"plays":[18],"a":[19],"crucial":[20],"role":[21],"in":[22,35],"labeling":[23],"and":[24,118],"training":[25],"the":[26,78,92,98,106,115,125],"model.":[27],"Experience":[28,54],"Sampling":[29,55],"Method":[30],"(ESM)":[31],"is":[32],"widely":[33],"used":[34,64],"behavioral":[36],"science":[37],"gather":[39],"user":[40,69],"responses":[41],"about":[42],"Smartphones":[45],"equipped":[46],"with":[47],"sensors":[48],"provide":[49,58],"new":[50],"avenues":[51],"design":[53,93],"Methods.":[56],"Sensors":[57],"multiple":[59],"contexts":[60],"that":[61,108],"can":[62,76,109],"be":[63],"trigger":[66,82,110],"collection":[67],"of":[68,73,94,101,127],"responses.":[70],"However,":[71],"subsampling":[72],"sensor":[74,89],"data":[75,90],"bias":[77],"inference":[79],"drawn":[80],"from":[81],"ESM.":[84,95],"We":[85,96,113],"investigate":[86],"whether":[87],"continuous":[88],"simplify":[91],"use":[97],"typing":[99],"pattern":[100],"users":[102],"on":[103,130],"smartphone":[104],"as":[105],"context":[107,116],"response":[111],"collection.":[112],"compare":[114,140],"time":[119],"ESM":[121,128,138],"designs":[122,139],"determine":[124],"impact":[126],"strategies":[129],"modeling.":[132],"The":[133],"results":[134],"indicate":[135],"how":[136],"different":[137],"against":[141],"each":[142],"other.":[143]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}