{"id":"https://openalex.org/W4360764310","doi":"https://doi.org/10.1109/icir55739.2022.00028","title":"Combining Natural Language and Machine Learning for Predicting Survey Responses of Social Constructs in a Dyad","display_name":"Combining Natural Language and Machine Learning for Predicting Survey Responses of Social Constructs in a Dyad","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4360764310","doi":"https://doi.org/10.1109/icir55739.2022.00028"},"language":"en","primary_location":{"id":"doi:10.1109/icir55739.2022.00028","doi":"https://doi.org/10.1109/icir55739.2022.00028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icir55739.2022.00028","pdf_url":null,"source":{"id":"https://openalex.org/S7407087166","display_name":"IEEE International Conference on Intelligent Reality (ICIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Intelligent Reality (ICIR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5057486231","display_name":"Bruno A. Calfa","orcid":"https://orcid.org/0000-0003-1396-1372","observed_orcids":["https://orcid.org/0000-0003-1396-1372"]},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Abreu Calfa","raw_affiliation_strings":["Raytheon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101578471","display_name":"Peggy Wu","orcid":"https://orcid.org/0000-0003-0185-596X","observed_orcids":["https://orcid.org/0000-0003-0185-596X"]},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peggy Wu","raw_affiliation_strings":["Raytheon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062720941","display_name":"Mohammadamin Sanaei","orcid":"https://orcid.org/0000-0003-0152-6381","observed_orcids":["https://orcid.org/0000-0003-0152-6381"]},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammadamin Sanaei","raw_affiliation_strings":["Iowa State University,Virtual Reality Application center,Ames,IA,50011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University,Virtual Reality Application center,Ames,IA,50011","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079692543","display_name":"Stephen B. Gilbert","orcid":"https://orcid.org/0000-0002-5332-029X","observed_orcids":["https://orcid.org/0000-0002-5332-029X"]},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Gilbert","raw_affiliation_strings":["Iowa State University,Virtual Reality Application center,Ames,IA,50011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University,Virtual Reality Application center,Ames,IA,50011","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023037196","display_name":"Andrew Radlbeck","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Radlbeck","raw_affiliation_strings":["Raytheon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024305967","display_name":"Brett Israelsen","orcid":"https://orcid.org/0000-0003-1602-1685","observed_orcids":["https://orcid.org/0000-0003-1602-1685"]},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brett Israelsen","raw_affiliation_strings":["Raytheon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon Technologies","institution_ids":["https://openalex.org/I1306686416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1068,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37497301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"45","issue":null,"first_page":"58","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5185999870300293,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5185999870300293,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.147599995136261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.07339999824762344,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-constructs","display_name":"social constructs","score":0.6919999718666077},{"id":"https://openalex.org/keywords/dyadic-interaction","display_name":"dyadic interaction","score":0.8619999885559082},{"id":"https://openalex.org/keywords/natural-language-analysis","display_name":"natural language analysis","score":0.7099999785423279},{"id":"https://openalex.org/keywords/linguistic-features","display_name":"linguistic features","score":0.4880000054836273},{"id":"https://openalex.org/keywords/engagement","display_name":"engagement","score":0.5709999799728394},{"id":"https://openalex.org/keywords/rapport","display_name":"rapport","score":0.9919999837875366},{"id":"https://openalex.org/keywords/trust","display_name":"trust","score":0.9980000257492065},{"id":"https://openalex.org/keywords/training-context","display_name":"training context","score":0.4429999887943268},{"id":"https://openalex.org/keywords/behavioral-observation","display_name":"behavioral observation","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C2777716012","wikidata":"https://www.wikidata.org/wiki/Q5318389","display_name":"Dyad","level":2,"score":0.9161288738250732},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.647106409072876},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6308699250221252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5214452147483826},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.50960373878479},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4418959617614746},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4304007887840271},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35517096519470215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.347006618976593},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2766462564468384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0939018726348877},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icir55739.2022.00028","doi":"https://doi.org/10.1109/icir55739.2022.00028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icir55739.2022.00028","pdf_url":null,"source":{"id":"https://openalex.org/S7407087166","display_name":"IEEE International Conference on Intelligent Reality (ICIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Intelligent Reality (ICIR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W380084359","https://openalex.org/W1660390307","https://openalex.org/W1678356000","https://openalex.org/W2056132907","https://openalex.org/W2066400059","https://openalex.org/W2092939357","https://openalex.org/W2099201756","https://openalex.org/W2099813784","https://openalex.org/W2113651538","https://openalex.org/W2126601124","https://openalex.org/W2127779460","https://openalex.org/W2140910804","https://openalex.org/W2144935315","https://openalex.org/W2153635508","https://openalex.org/W2295598076","https://openalex.org/W2487898712","https://openalex.org/W2489406233","https://openalex.org/W2612972698","https://openalex.org/W2898227265","https://openalex.org/W2911964244","https://openalex.org/W3022436500","https://openalex.org/W3130093384","https://openalex.org/W3157935133","https://openalex.org/W4213009331","https://openalex.org/W6736575291"],"related_works":["https://openalex.org/W4404563141","https://openalex.org/W4416047757","https://openalex.org/W3138293105","https://openalex.org/W3148985539","https://openalex.org/W4389254596","https://openalex.org/W2956357266","https://openalex.org/W4385452409","https://openalex.org/W4406460989","https://openalex.org/W3105270635","https://openalex.org/W2147544951"],"abstract_inverted_index":{"Measuring":[0],"social":[1,111],"constructs":[2],"such":[3],"as":[4],"engagement,":[5],"rapport,":[6],"and":[7,14,69,73,85,92],"trust":[8],"often":[9],"rely":[10],"heavily":[11],"on":[12,44],"surveys":[13],"behavioral":[15],"observations.":[16],"This":[17],"paper":[18],"describes":[19],"a":[20,40,56,86],"method":[21,49],"to":[22,34,109,120,124],"use":[23,121],"features":[24,91],"identified":[25],"by":[26],"psychology-based":[27],"language":[28,122],"analysis,":[29],"combined":[30],"with":[31],"machine":[32],"learning,":[33],"predict":[35,125],"participant":[36],"survey":[37,93],"responses":[38],"in":[39,99,115],"training":[41,59],"context":[42,98],"based":[43],"120":[45],"dyad":[46],"transcripts.":[47],"The":[48],"analyzed":[50],"data":[51,80],"collected":[52,79],"from":[53],"subjects":[54],"performing":[55],"circuit":[57],"board":[58],"task":[60],"within":[61],"the":[62,78,97,101,118,129,132],"project":[63],"called":[64],"SCOTTIE,":[65],"Systematic":[66],"Communication":[67],"Objectives":[68],"Telecommunications":[70],"Technology":[71],"Investigations":[72],"Evaluations.":[74],"In":[75],"this":[76],"study,":[77],"showed":[81],"low":[82],"utterance":[83],"count":[84],"lack":[87],"of":[88,128],"correlation":[89],"between":[90],"responses,":[94],"suggesting":[95],"that":[96],"which":[100,114],"interactions":[102],"occurred":[103],"may":[104],"limit":[105],"opportunities":[106],"for":[107],"interlocutors":[108],"manifest":[110],"behaviors":[112],"verbally,":[113],"turn":[116],"affected":[117],"ability":[119],"analysis":[123],"subject":[126],"perceptions":[127],"interaction.":[130],"However,":[131],"methodology":[133],"appears":[134],"sound.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-03-25T00:00:00"}
