{"id":"https://openalex.org/W3004984068","doi":"https://doi.org/10.1145/3313831.3376131","title":"If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills","display_name":"If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3004984068","doi":"https://doi.org/10.1145/3313831.3376131","mag":"3004984068"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.01862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083645580","display_name":"Ziang Xiao","orcid":"https://orcid.org/0000-0003-3368-0180"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziang Xiao","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054523299","display_name":"Michelle X. Zhou","orcid":"https://orcid.org/0000-0002-0802-5806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michelle X. Zhou","raw_affiliation_strings":["Juji, Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juji, Inc., San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090739497","display_name":"Wenxi Chen","orcid":"https://orcid.org/0000-0002-7938-9033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxi Chen","raw_affiliation_strings":["Juji, Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juji, Inc., San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100830804","display_name":"Huahai Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huahai Yang","raw_affiliation_strings":["Juji, Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juji, Inc., San Jose, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079362752","display_name":"Changyan Chi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changyan Chi","raw_affiliation_strings":["Juji, Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juji, Inc., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9994999766349792,"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/T12128","display_name":"AI in Service Interactions","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.9564448595046997},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.8391937017440796},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7440342307090759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5836761593818665},{"id":"https://openalex.org/keywords/job-interview","display_name":"Job interview","score":0.5587509870529175},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4318045973777771},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4031633734703064},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33150577545166016},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.27266353368759155},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.0801335871219635}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.9564448595046997},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.8391937017440796},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7440342307090759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5836761593818665},{"id":"https://openalex.org/C2776587543","wikidata":"https://www.wikidata.org/wiki/Q850171","display_name":"Job interview","level":2,"score":0.5587509870529175},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4318045973777771},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4031633734703064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33150577545166016},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27266353368759155},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0801335871219635},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3313831.3376131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.01862","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01862","pdf_url":"https://arxiv.org/pdf/2002.01862","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.01862","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01862","pdf_url":"https://arxiv.org/pdf/2002.01862","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7792570229","display_name":null,"funder_award_id":"FA9550-15-C-0032","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W135021643","https://openalex.org/W593934247","https://openalex.org/W651440152","https://openalex.org/W1480376833","https://openalex.org/W1529533208","https://openalex.org/W1880262756","https://openalex.org/W1980446154","https://openalex.org/W1996034305","https://openalex.org/W2033626657","https://openalex.org/W2047604680","https://openalex.org/W2058010765","https://openalex.org/W2084489557","https://openalex.org/W2099386544","https://openalex.org/W2104798349","https://openalex.org/W2110693578","https://openalex.org/W2150597317","https://openalex.org/W2153320458","https://openalex.org/W2156897926","https://openalex.org/W2161466446","https://openalex.org/W2311110368","https://openalex.org/W2398460793","https://openalex.org/W2466604049","https://openalex.org/W2485166676","https://openalex.org/W2497779404","https://openalex.org/W2578080060","https://openalex.org/W2583741591","https://openalex.org/W2591974035","https://openalex.org/W2593751037","https://openalex.org/W2594633041","https://openalex.org/W2594726847","https://openalex.org/W2759136286","https://openalex.org/W2774891019","https://openalex.org/W2788016921","https://openalex.org/W2793427265","https://openalex.org/W2794557536","https://openalex.org/W2887428522","https://openalex.org/W2892181857","https://openalex.org/W2896457183","https://openalex.org/W2905132164","https://openalex.org/W2907049732","https://openalex.org/W2915786288","https://openalex.org/W2924196385","https://openalex.org/W2940530202","https://openalex.org/W2940884072","https://openalex.org/W2941540847","https://openalex.org/W2942103387","https://openalex.org/W2949197630","https://openalex.org/W2962717047","https://openalex.org/W2962717182","https://openalex.org/W2962796276","https://openalex.org/W2962883855","https://openalex.org/W2963035145","https://openalex.org/W2963270767","https://openalex.org/W2963395792","https://openalex.org/W2963766892","https://openalex.org/W2963912736","https://openalex.org/W2964046741","https://openalex.org/W2964210218","https://openalex.org/W2968156330","https://openalex.org/W3013958813","https://openalex.org/W3023315245","https://openalex.org/W3101913037","https://openalex.org/W4236521339","https://openalex.org/W4243824705","https://openalex.org/W6600310816","https://openalex.org/W6712785310"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4387007686","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4382562346"],"abstract_inverted_index":{"Interview":[0],"chatbots":[1,23,72,102,137],"engage":[2],"users":[3],"in":[4,114],"a":[5,66,74,83,115],"text-based":[6],"conversation":[7],"to":[8,19,30,56,69,81],"draw":[9],"out":[10],"their":[11],"views":[12],"and":[13,33,47,86,135],"opinions.":[14],"It":[15],"is,":[16],"however,":[17],"challenging":[18],"build":[20,57],"effective":[21,58,129],"interview":[22,59,71,101,112,130,139],"that":[24],"can":[25],"handle":[26],"user":[27,36],"free-text":[28],"responses":[29],"open-ended":[31],"questions":[32],"deliver":[34],"engaging":[35],"experience.":[37],"As":[38],"the":[39,45,91,98],"first":[40],"step,":[41],"we":[42,64,96],"are":[43],"investigating":[44],"feasibility":[46],"effectiveness":[48,92],"of":[49,76,93,100],"using":[50],"publicly":[51],"available,":[52],"practical":[53,124],"AI":[54],"technologies":[55],"chatbots.":[60],"To":[61,89],"demonstrate":[62],"feasibility,":[63],"built":[65],"prototype":[67],"scoped":[68],"enable":[70],"with":[73,103,118],"subset":[75],"active":[77,106],"listening":[78,107],"skills-the":[79],"abilities":[80],"comprehend":[82],"user's":[84],"input":[85],"respond":[87],"properly.":[88],"evaluate":[90],"our":[94],"prototype,":[95],"compared":[97],"performance":[99],"or":[104],"without":[105],"skills":[108],"on":[109],"four":[110],"common":[111],"topics":[113],"live":[116],"evaluation":[117],"206":[119],"users.":[120],"Our":[121],"work":[122],"presents":[123],"design":[125],"implications":[126],"for":[127],"building":[128],"chatbots,":[131],"hybrid":[132],"chatbot":[133],"platforms,":[134],"empathetic":[136],"beyond":[138],"tasks.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}