{"id":"https://openalex.org/W2895626821","doi":"https://doi.org/10.1145/3242969.3243001","title":"Using Interlocutor-Modulated Attention BLSTM to Predict Personality Traits in Small Group Interaction","display_name":"Using Interlocutor-Modulated Attention BLSTM to Predict Personality Traits in Small Group Interaction","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2895626821","doi":"https://doi.org/10.1145/3242969.3243001","mag":"2895626821"},"language":"en","primary_location":{"id":"doi:10.1145/3242969.3243001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242969.3243001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"type":"article","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/A5101589492","display_name":"Yun-Shao Lin","orcid":"https://orcid.org/0000-0002-1494-1413"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Shao Lin","raw_affiliation_strings":["National Tsing Hua University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086107623","display_name":"Chi-Chun Lee","orcid":"https://orcid.org/0000-0003-0186-4321"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Chun Lee","raw_affiliation_strings":["National Tsing Hua University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101589492"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":2.4771,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90499238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9939000010490417,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.7128855586051941},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.7103143930435181},{"id":"https://openalex.org/keywords/interpersonal-communication","display_name":"Interpersonal communication","score":0.665615439414978},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.655800461769104},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5304607152938843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48635560274124146},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46562594175338745},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4499835968017578},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4417071044445038},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4386088252067566},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.2673953175544739}],"concepts":[{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.7128855586051941},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.7103143930435181},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.665615439414978},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.655800461769104},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5304607152938843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48635560274124146},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46562594175338745},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4499835968017578},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4417071044445038},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4386088252067566},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2673953175544739},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3242969.3243001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242969.3243001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G3888386067","display_name":null,"funder_award_id":"107-2634-F-007 -006 -","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W625840618","https://openalex.org/W1494109460","https://openalex.org/W1547377254","https://openalex.org/W1592567216","https://openalex.org/W1966385142","https://openalex.org/W1968681351","https://openalex.org/W1975273460","https://openalex.org/W1977915609","https://openalex.org/W2009658355","https://openalex.org/W2016937080","https://openalex.org/W2064675550","https://openalex.org/W2067706464","https://openalex.org/W2079735306","https://openalex.org/W2097128017","https://openalex.org/W2112204625","https://openalex.org/W2125336414","https://openalex.org/W2129421456","https://openalex.org/W2133564696","https://openalex.org/W2133913137","https://openalex.org/W2148839887","https://openalex.org/W2152207966","https://openalex.org/W2313060514","https://openalex.org/W2344338892","https://openalex.org/W2407349954","https://openalex.org/W2548480864","https://openalex.org/W2625297138","https://openalex.org/W2747681861","https://openalex.org/W2747746669","https://openalex.org/W2748463297","https://openalex.org/W2753574425","https://openalex.org/W4211153864","https://openalex.org/W4214907476","https://openalex.org/W4231760770"],"related_works":["https://openalex.org/W2477995101","https://openalex.org/W4330338194","https://openalex.org/W2118758177","https://openalex.org/W4256036313","https://openalex.org/W2157908879","https://openalex.org/W3125957671","https://openalex.org/W2767446002","https://openalex.org/W2898389145","https://openalex.org/W1966488223","https://openalex.org/W2796384540"],"abstract_inverted_index":{"Small":[0],"group":[1,21,31,43,70,95,111],"interaction":[2,112],"occurs":[3],"often":[4],"in":[5,17,34,47,72,105,127,156],"workplace":[6],"and":[7,168],"education":[8],"settings.":[9],"Its":[10],"dynamic":[11],"progression":[12],"is":[13,32],"an":[14,56,64],"essential":[15],"factor":[16],"dictating":[18],"the":[19,30,42,86,108,114,137,143,152,157],"final":[20],"performance":[22],"outcomes.":[23],"The":[24,80],"personality":[25,78,131,179],"of":[26,41,91,94,107,125,159,178],"each":[27],"individual":[28],"within":[29],"reflected":[33],"his/her":[35,77],"interpersonal":[36,88,153],"behaviors":[37,67,90,155],"with":[38],"other":[39,92],"members":[40,93],"as":[44,175],"they":[45],"engage":[46],"these":[48],"task-oriented":[49],"interactions.":[50,97],"In":[51,98],"this":[52],"work,":[53],"we":[54,100,163],"propose":[55],"interlocutor-modulated":[57,81],"attention":[58,82,161],"BSLTM":[59],"(IM-aBLSTM)":[60],"architecture":[61],"that":[62,173],"models":[63],"individual's":[65],"vocal":[66,89,154,170],"during":[68,96],"small":[69,110],"interactions":[71],"order":[73],"to":[74],"automatically":[75],"infer":[76],"traits.":[79,180],"mechanism":[83],"jointly":[84],"optimize":[85],"relevant":[87],"specifics,":[99],"evaluate":[101],"our":[102],"proposed":[103],"IM-aBLSTM":[104],"one":[106],"largest":[109],"database,":[113],"ELEA":[115],"corpus.":[116],"Our":[117],"framework":[118],"achieves":[119],"a":[120,176],"promising":[121],"unweighted":[122],"recall":[123],"accuracy":[124],"87.9%":[126],"ten":[128],"different":[129],"binary":[130],"trait":[132],"prediction":[133],"tasks,":[134],"which":[135],"outperforms":[136],"best":[138],"results":[139],"previously":[140],"reported":[141],"on":[142],"same":[144],"database":[145],"by":[146,150],"10.4%":[147],"absolute.":[148],"Finally,":[149],"analyzing":[151],"region":[158],"high":[160],"weights,":[162],"observe":[164],"several":[165],"distinct":[166],"intra-":[167],"inter-personal":[169],"behavior":[171],"patterns":[172],"vary":[174],"function":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}