{"id":"https://openalex.org/W4360991106","doi":"https://doi.org/10.1145/3581641.3584031","title":"Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access","display_name":"Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4360991106","doi":"https://doi.org/10.1145/3581641.3584031"},"language":"en","primary_location":{"id":"doi:10.1145/3581641.3584031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581641.3584031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581641.3584031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581641.3584031","any_repository_has_fulltext":null},"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/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210099137","display_name":"Research Canada","ror":"https://ror.org/0103eqz62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210099137"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Ziang Xiao","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, United States and Microsoft Research, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3368-0180","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, United States and Microsoft Research, Canada","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I145311948","https://openalex.org/I4210099137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024320659","display_name":"Q. Vera Liao","orcid":"https://orcid.org/0000-0003-4543-7196"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. Vera Liao","raw_affiliation_strings":["Microsoft Research, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4543-7196","affiliations":[{"raw_affiliation_string":"Microsoft Research, Canada","institution_ids":["https://openalex.org/I4210153468"]}]},{"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 Zhou","raw_affiliation_strings":["Juji, Inc., United States"],"raw_orcid":"https://orcid.org/0000-0002-0802-5806","affiliations":[{"raw_affiliation_string":"Juji, Inc., United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033155973","display_name":"Tyrone Grandison","orcid":"https://orcid.org/0000-0003-1989-3913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tyrone Grandison","raw_affiliation_strings":["The Data-Driven Institute, United States"],"raw_orcid":"https://orcid.org/0000-0003-1989-3913","affiliations":[{"raw_affiliation_string":"The Data-Driven Institute, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077658932","display_name":"Yunyao Li","orcid":"https://orcid.org/0000-0001-8433-8719"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunyao Li","raw_affiliation_strings":["Apple, United States"],"raw_orcid":"https://orcid.org/0000-0001-8433-8719","affiliations":[{"raw_affiliation_string":"Apple, United States","institution_ids":["https://openalex.org/I4210153776"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.0832,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.99052171,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9986000061035156,"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":0.9986000061035156,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.9116860628128052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143144369125366},{"id":"https://openalex.org/keywords/crowd-sourcing","display_name":"Crowd sourcing","score":0.42662250995635986},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4043583869934082},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3541125953197479},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3533898591995239}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.9116860628128052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143144369125366},{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.42662250995635986},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4043583869934082},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3541125953197479},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3533898591995239}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581641.3584031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581641.3584031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581641.3584031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581641.3584031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581641.3584031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581641.3584031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4360991106.pdf","grobid_xml":"https://content.openalex.org/works/W4360991106.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W17868741","https://openalex.org/W229631713","https://openalex.org/W1881872130","https://openalex.org/W2010158189","https://openalex.org/W2014703957","https://openalex.org/W2021759878","https://openalex.org/W2028953510","https://openalex.org/W2036438413","https://openalex.org/W2061052595","https://openalex.org/W2061777840","https://openalex.org/W2062410346","https://openalex.org/W2086685131","https://openalex.org/W2114050095","https://openalex.org/W2117819927","https://openalex.org/W2122570643","https://openalex.org/W2127008633","https://openalex.org/W2150943872","https://openalex.org/W2156897926","https://openalex.org/W2160348997","https://openalex.org/W2163986367","https://openalex.org/W2229710742","https://openalex.org/W2290484796","https://openalex.org/W2292577651","https://openalex.org/W2295750479","https://openalex.org/W2396268257","https://openalex.org/W2413523787","https://openalex.org/W2464947093","https://openalex.org/W2483784540","https://openalex.org/W2518900389","https://openalex.org/W2562745534","https://openalex.org/W2577932382","https://openalex.org/W2590822507","https://openalex.org/W2610551042","https://openalex.org/W2724317853","https://openalex.org/W2767057583","https://openalex.org/W2772461498","https://openalex.org/W2791808303","https://openalex.org/W2792198542","https://openalex.org/W2795737757","https://openalex.org/W2898701693","https://openalex.org/W2911412425","https://openalex.org/W2914188784","https://openalex.org/W2924196385","https://openalex.org/W2945752171","https://openalex.org/W2946048558","https://openalex.org/W2949661904","https://openalex.org/W2968498314","https://openalex.org/W2997214274","https://openalex.org/W2997474044","https://openalex.org/W2999719910","https://openalex.org/W3004092718","https://openalex.org/W3004984068","https://openalex.org/W3015865241","https://openalex.org/W3021141494","https://openalex.org/W3029774798","https://openalex.org/W3029922759","https://openalex.org/W3031532441","https://openalex.org/W3035321364","https://openalex.org/W3039651429","https://openalex.org/W3080590497","https://openalex.org/W3094396842","https://openalex.org/W3101528469","https://openalex.org/W3102912458","https://openalex.org/W3104708195","https://openalex.org/W3134440370","https://openalex.org/W3163892065","https://openalex.org/W3205767880","https://openalex.org/W4232230735","https://openalex.org/W4248112467","https://openalex.org/W4288080268","https://openalex.org/W6796249392"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W4387007686","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425"],"abstract_inverted_index":{"During":[0],"a":[1,9,110,126],"public":[2,23],"health":[3,24,133],"crisis":[4],"like":[5],"the":[6,52,62,67,74,87,91,119,136,140,171,179,182,213,230],"COVID-19":[7,120,205],"pandemic,":[8],"credible":[10,47,111],"and":[11,26,45,48,65,101,112,132,143,161,184,207,217,224,232,237],"easy-to-access":[12,113],"information":[13,33,53,68,114,162,201,206,226],"portal":[14,34,115],"is":[15,35,41,78],"highly":[16],"desirable.":[17],"It":[18],"helps":[19],"with":[20,229],"disease":[21],"prevention,":[22],"planning,":[25],"misinformation":[27,235],"mitigation.":[28],"However,":[29],"creating":[30],"such":[31],"an":[32,98,104,192],"challenging":[36],"because":[37],"1)":[38],"domain":[39,88],"expertise":[40,89],"required":[42],"to":[43,55,61,170,176],"identify":[44],"curate":[46],"intelligible":[49],"content,":[50],"2)":[51],"needs":[54],"be":[56,70],"updated":[57],"promptly":[58],"in":[59,139,181,199,203],"response":[60],"fast-changing":[63],"environment,":[64],"3)":[66],"should":[69],"easily":[71],"accessible":[72],"by":[73,125],"general":[75],"public;":[76],"which":[77,107],"particularly":[79],"difficult":[80],"when":[81],"most":[82],"people":[83],"do":[84],"not":[85],"have":[86],"about":[90,149,178],"crisis.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"presented":[97],"expert-sourcing":[99],"framework":[100],"created":[102,124],"Jennifer,":[103],"AI":[105],"chatbot,":[106],"serves":[108],"as":[109],"for":[116,186,221],"individuals":[117],"during":[118],"pandemic.":[121],"Jennifer":[122,153,175],"was":[123],"team":[127],"of":[128,146,174,234],"over":[129],"150":[130],"scientists":[131],"professionals":[134],"around":[135],"world,":[137],"deployed":[138],"real":[141],"world":[142],"answered":[144],"thousands":[145],"user":[147],"questions":[148],"COVID-19.":[150],"We":[151,164,189,211],"evaluated":[152],"from":[154],"two":[155],"key":[156,214],"stakeholders\u2019":[157],"perspectives,":[158],"expert":[159],"volunteers":[160],"seekers.":[163],"first":[165],"interviewed":[166],"experts":[167],"who":[168],"contributed":[169],"collaborative":[172],"creation":[173],"learn":[177],"challenges":[180],"process":[183],"opportunities":[185,233],"future":[187],"improvement.":[188],"then":[190],"conducted":[191],"online":[193],"experiment":[194],"that":[195],"examined":[196],"Jennifer\u2019s":[197],"effectiveness":[198],"supporting":[200],"seekers":[202],"locating":[204],"gaining":[208],"their":[209],"trust.":[210],"share":[212],"lessons":[215],"learned":[216],"discuss":[218],"design":[219],"implications":[220],"building":[222],"expert-sourced":[223],"AI-powered":[225],"portals,":[227],"along":[228],"risks":[231],"mitigation":[236],"beyond.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":7}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
