iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.48550/ARXIV.2310.00010
{"id":"https://openalex.org/W4387323189","doi":"https://doi.org/10.48550/arxiv.2310.00010","title":"Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales","display_name":"Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387323189","doi":"https://doi.org/10.48550/arxiv.2310.00010"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.00010","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2310.00010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024424959","display_name":"Sharjeel A. Tahir","orcid":"https://orcid.org/0009-0008-9012-0490"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tahir, Sharjeel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049303874","display_name":"Syed Afaq Ali Shah","orcid":"https://orcid.org/0000-0003-2181-8445"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shah, Syed Afaq","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072706685","display_name":"Jumana Abu-Khalaf","orcid":"https://orcid.org/0000-0002-6651-2880"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abu-Khalaf, Jumana","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.786223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":68,"max":79},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9123,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9123,"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":[],"concepts":[{"id":"https://openalex.org/C2779885105","wikidata":"https://www.wikidata.org/wiki/Q182263","display_name":"Empathy","level":2,"score":0.91588247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69192135},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.60393137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975214},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.54121184},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5398504},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5167534},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.46758366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38550252},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33554834},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24803331},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11218631},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.00010","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2310.00010","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.00010","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Quality education","score":0.41,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3216436282","https://openalex.org/W2914237138","https://openalex.org/W2894933737","https://openalex.org/W2790197180","https://openalex.org/W2623239735","https://openalex.org/W2321298859","https://openalex.org/W2049690772","https://openalex.org/W2022249999","https://openalex.org/W2020597600","https://openalex.org/W1443290736"],"abstract_inverted_index":{"From":[0],"the":[1,6,82,105,115,124,169,192,217,234,240,253],"last":[2],"decade,":[3],"researchers":[4,251],"in":[5,21,47,239,252,257],"field":[7,83],"of":[8,59,84,97,120,127,236,242,255],"machine":[9],"learning":[10],"(ML)":[11],"and":[12,49,61,129,173,205,211,223,232],"assistive":[13],"developmental":[14],"robotics":[15],"(ADR)":[16],"have":[17,220],"taken":[18],"an":[19,185],"interest":[20],"artificial":[22,94],"empathy":[23,36,95,121],"(AE)":[24],"as":[25,214,216],"a":[26,56,66,133,196],"possible":[27,71],"future":[28],"paradigm":[29],"for":[30,72,76,93,188,209],"human-robot":[31],"interaction":[32],"(HRI).":[33],"Humans":[34],"learn":[35],"since":[37],"birth,":[38],"therefore,":[39],"it":[40],"is":[41,229],"challenging":[42],"to":[43,65,122,161,194,203,230],"instill":[44],"this":[45],"sense":[46],"robots":[48,147],"intelligent":[50],"machines.":[51],"Nevertheless,":[52],"by":[53,244],"training":[54],"over":[55],"vast":[57],"amount":[58],"data":[60],"time,":[62],"imitating":[63],"empathy,":[64,213],"certain":[67],"extent,":[68],"can":[69],"be":[70],"robots.":[73],"Training":[74],"techniques":[75],"AE,":[77,190],"along":[78],"with":[79,143,261],"findings":[80],"from":[81,108],"empathetic":[85],"AI":[86],"research,":[87],"are":[88,159],"ever-evolving.":[89],"The":[90],"standard":[91],"workflow":[92],"consists":[96],"three":[98],"stages:":[99],"1)":[100],"Emotion":[101],"Recognition":[102],"(ER)":[103],"using":[104],"retrieved":[106],"features":[107],"video":[109],"or":[110,118,146,191],"textual":[111],"data,":[112],"2)":[113],"analyzing":[114],"perceived":[116],"emotion":[117],"degree":[119,193],"choose":[123],"best":[125],"course":[126],"action,":[128],"3)":[130],"carrying":[131],"out":[132],"response":[134],"action.":[135],"Recent":[136],"studies":[137],"that":[138,183,219],"show":[139],"AE":[140,243,256],"being":[141],"used":[142,160,224],"virtual":[144],"agents":[145],"often":[148],"include":[149],"Deep":[150],"Learning":[151],"(DL)":[152],"techniques.":[153],"For":[154],"instance,":[155],"models":[156,165],"like":[157,166],"VGGFace":[158],"conduct":[162],"ER.":[163],"Semi-supervised":[164],"Autoencoders":[167],"generate":[168],"corresponding":[170],"emotional":[171],"states":[172],"behavioral":[174],"responses.":[175],"However,":[176],"there":[177],"has":[178],"not":[179],"been":[180,221],"any":[181],"study":[182],"presents":[184],"independent":[186],"approach":[187],"evaluating":[189,212],"which":[195],"reaction":[197],"was":[198],"empathetic.":[199],"This":[200,248],"paper":[201],"aims":[202],"investigate":[204],"evaluate":[206],"existing":[207],"works":[208],"measuring":[210],"well":[215],"datasets":[218],"collected":[222],"so":[225],"far.":[226],"Our":[227],"goal":[228],"highlight":[231],"facilitate":[233],"use":[235],"state-of-the-art":[237],"methods":[238],"area":[241,254],"comparing":[245],"their":[246,259],"performance.":[247],"will":[249],"aid":[250],"selecting":[258],"approaches":[260],"precision.":[262]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387323189","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-06T01:26:46.373410","created_date":"2023-10-04"}