{"id":"https://openalex.org/W3045190208","doi":"https://doi.org/10.1145/3397271.3401108","title":"What If Bots Feel Moods?","display_name":"What If Bots Feel Moods?","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3045190208","doi":"https://doi.org/10.1145/3397271.3401108","mag":"3045190208"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5036940671","display_name":"Lisong Qiu","orcid":"https://orcid.org/0009-0008-5101-0029"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisong Qiu","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008829303","display_name":"Yingwai Shiu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwai Shiu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109545090","display_name":"Pingping Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pingping Lin","raw_affiliation_strings":["Microsoft XiaoIce, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft XiaoIce, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505570","display_name":"Ruihua Song","orcid":"https://orcid.org/0000-0001-6036-9035"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruihua Song","raw_affiliation_strings":["Microsoft XiaoIce, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft XiaoIce, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320118","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0003-2958-9923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["Microsoft XiaoIce, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft XiaoIce, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Peking University & Beijing Academy of Artificial Intelligence, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University & Beijing Academy of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8957,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88892988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1161","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9987999796867371,"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/T12031","display_name":"Speech and dialogue systems","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.8255553841590881},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.8084679841995239},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6004249453544617},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5633875727653503},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5518553256988525},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5430741310119629},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48910409212112427},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4515891373157501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4512473940849304},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44200485944747925},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3843907117843628},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12050771713256836},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07948783040046692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255553841590881},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8084679841995239},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6004249453544617},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5633875727653503},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5518553256988525},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5430741310119629},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48910409212112427},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4515891373157501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4512473940849304},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44200485944747925},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3843907117843628},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12050771713256836},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07948783040046692},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W43346191","https://openalex.org/W604097133","https://openalex.org/W1910529161","https://openalex.org/W2194775991","https://openalex.org/W2338325072","https://openalex.org/W2339852062","https://openalex.org/W2561368124","https://openalex.org/W2740258984","https://openalex.org/W2788559111","https://openalex.org/W2795571593","https://openalex.org/W2805005636","https://openalex.org/W2891416139","https://openalex.org/W2908331278","https://openalex.org/W2916952861","https://openalex.org/W2929134750","https://openalex.org/W2949446780","https://openalex.org/W2949782788","https://openalex.org/W2949888546","https://openalex.org/W2952088495","https://openalex.org/W2952813980","https://openalex.org/W2962767298","https://openalex.org/W2962796276","https://openalex.org/W2963188990","https://openalex.org/W2963206148","https://openalex.org/W2963542836","https://openalex.org/W2963544536","https://openalex.org/W2963825865","https://openalex.org/W2964309167","https://openalex.org/W2970680405","https://openalex.org/W3012439218"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2378167147","https://openalex.org/W3210777354","https://openalex.org/W2281307425","https://openalex.org/W1511346092","https://openalex.org/W2464405057","https://openalex.org/W1527532029","https://openalex.org/W2772323916"],"abstract_inverted_index":{"For":[0],"social":[1,118],"bots,":[2],"smooth":[3],"emotional":[4,65,89,171],"transitions":[5],"are":[6],"essential":[7],"for":[8],"delivering":[9],"a":[10,57,105,143,179],"genuine":[11],"conversation":[12,61,145],"experience":[13],"to":[14,28,55,85,116,178],"users.":[15],"Yet,":[16],"the":[17,34,43,87,132,138,154,161],"task":[18],"is":[19,23],"challenging":[20],"because":[21],"emotion":[22,102],"too":[24],"implicit":[25],"and":[26,47,91,146],"complicated":[27],"understand.":[29],"Among":[30],"previous":[31],"studies":[32],"in":[33,95,120,151],"domain":[35],"of":[36,45,50,76,122,140,164],"retrieval-based":[37,60,96],"conversational":[38],"model,":[39],"they":[40],"only":[41],"consider":[42],"factors":[44,66],"semantic":[46,77],"functional":[48],"dependencies":[49],"utterances.":[51],"In":[52],"this":[53],"paper,":[54],"implement":[56],"more":[58],"empathetic":[59],"system,":[62],"we":[63,79,174],"incorporate":[64],"into":[67],"context-response":[68,93],"matching":[69,94],"from":[70],"two":[71,127],"aspects:":[72],"1)":[73],"On":[74],"top":[75],"matching,":[78],"propose":[80],"an":[81],"emotion-aware":[82],"transition":[83],"network":[84],"model":[86,134,167],"dynamic":[88],"flow":[90,139],"enhance":[92],"dialogue":[97],"systems":[98],"with":[99],"learnt":[100],"intrinsic":[101],"features":[103],"through":[104],"multi-task":[106],"learning":[107],"framework;":[108],"2)":[109],"We":[110,157],"design":[111],"several":[112],"flexible":[113],"controlling":[114],"mechanisms":[115],"customize":[117],"bots":[119],"terms":[121],"emotion.":[123],"Extensive":[124],"experiments":[125],"on":[126,168],"benchmark":[128],"datasets":[129],"indicate":[130],"that":[131],"proposed":[133,166],"can":[135],"effectively":[136],"track":[137],"emotions":[141],"throughout":[142],"human-machine":[144],"significantly":[147],"improve":[148],"response":[149],"selection":[150],"dialogues":[152],"over":[153],"state-of-the-art":[155],"baselines.":[156],"also":[158],"empirically":[159],"validate":[160],"emotion-control":[162],"effects":[163],"our":[165],"three":[169],"different":[170],"aspects.":[172],"Finally,":[173],"apply":[175],"such":[176],"functionalities":[177],"real":[180],"IoT":[181],"application.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}