{"id":"https://openalex.org/W4392005277","doi":"https://doi.org/10.1016/j.chbah.2024.100057","title":"Perception is reality? Understanding user perceptions of chatbot-inferred versus self-reported personality traits","display_name":"Perception is reality? Understanding user perceptions of chatbot-inferred versus self-reported personality traits","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392005277","doi":"https://doi.org/10.1016/j.chbah.2024.100057"},"language":"en","primary_location":{"id":"doi:10.1016/j.chbah.2024.100057","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.chbah.2024.100057","pdf_url":null,"source":{"id":"https://openalex.org/S4387287529","display_name":"Computers in Human Behavior Artificial Humans","issn_l":"2949-8821","issn":["2949-8821"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Human Behavior: Artificial Humans","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.chbah.2024.100057","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033684089","display_name":"Lingyao Yuan","orcid":"https://orcid.org/0000-0001-9863-3137"},"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":"Lingyao (Ivy) Yuan","raw_affiliation_strings":["Information Systems and Business Analytics, Debbie and Jerry Ivy College of Business, Iowa State University, Ames, 50021, IA, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems and Business Analytics, Debbie and Jerry Ivy College of Business, Iowa State University, Ames, 50021, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516416","display_name":"Tianjun Sun","orcid":"https://orcid.org/0000-0002-3655-0042"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianjun Sun","raw_affiliation_strings":["Department of Psychological Sciences, Kansas State University, 492 Bluemont Hall, 1114 Mid-Campus Drive North, Manhattan, KS, 66506, USA"],"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, Kansas State University, 492 Bluemont Hall, 1114 Mid-Campus Drive North, Manhattan, KS, 66506, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073216478","display_name":"Alan R. Dennis","orcid":"https://orcid.org/0000-0002-6439-6134"},"institutions":[{"id":"https://openalex.org/I4210164544","display_name":"Health Decision Technologies (United States)","ror":"https://ror.org/05mc59k43","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164544"]},{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alan R. Dennis","raw_affiliation_strings":["Operations and Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, IN, 47405, USA"],"affiliations":[{"raw_affiliation_string":"Operations and Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, IN, 47405, USA","institution_ids":["https://openalex.org/I4210164544","https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054523299","display_name":"Michelle X. Zhou","orcid":"https://orcid.org/0000-0002-0802-5806"},"institutions":[{"id":"https://openalex.org/I4210102441","display_name":"Senju Pharmaceutical (United States)","ror":"https://ror.org/0135fer63","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Zhou","raw_affiliation_strings":["Juji, Inc, 3165 Olin Ave, San Jose, 95117, CA, USA"],"affiliations":[{"raw_affiliation_string":"Juji, Inc, 3165 Olin Ave, San Jose, 95117, CA, USA","institution_ids":["https://openalex.org/I4210102441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073216478"],"corresponding_institution_ids":["https://openalex.org/I4210119109","https://openalex.org/I4210164544"],"apc_list":null,"apc_paid":null,"fwci":4.7395,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94485336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2","issue":"1","first_page":"100057","last_page":"100057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T11147","display_name":"Misinformation and Its Impacts","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.8907357454299927},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.6476885080337524},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.6211453080177307},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.559044361114502},{"id":"https://openalex.org/keywords/personality-assessment-inventory","display_name":"Personality Assessment Inventory","score":0.5190047025680542},{"id":"https://openalex.org/keywords/agreeableness","display_name":"Agreeableness","score":0.460308313369751},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3725379705429077},{"id":"https://openalex.org/keywords/extraversion-and-introversion","display_name":"Extraversion and introversion","score":0.1413104236125946}],"concepts":[{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.8907357454299927},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.6476885080337524},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6211453080177307},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.559044361114502},{"id":"https://openalex.org/C174010058","wikidata":"https://www.wikidata.org/wiki/Q7170643","display_name":"Personality Assessment Inventory","level":3,"score":0.5190047025680542},{"id":"https://openalex.org/C170760736","wikidata":"https://www.wikidata.org/wiki/Q380358","display_name":"Agreeableness","level":5,"score":0.460308313369751},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3725379705429077},{"id":"https://openalex.org/C127816348","wikidata":"https://www.wikidata.org/wiki/Q127588","display_name":"Extraversion and introversion","level":4,"score":0.1413104236125946},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.chbah.2024.100057","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.chbah.2024.100057","pdf_url":null,"source":{"id":"https://openalex.org/S4387287529","display_name":"Computers in Human Behavior Artificial Humans","issn_l":"2949-8821","issn":["2949-8821"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Human Behavior: Artificial Humans","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.chbah.2024.100057","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.chbah.2024.100057","pdf_url":null,"source":{"id":"https://openalex.org/S4387287529","display_name":"Computers in Human Behavior Artificial Humans","issn_l":"2949-8821","issn":["2949-8821"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Human Behavior: Artificial Humans","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1507711477","https://openalex.org/W1533402223","https://openalex.org/W1779879527","https://openalex.org/W1970427037","https://openalex.org/W1975398860","https://openalex.org/W1980446154","https://openalex.org/W1994700698","https://openalex.org/W1999620774","https://openalex.org/W2012082729","https://openalex.org/W2014240786","https://openalex.org/W2015504554","https://openalex.org/W2024077183","https://openalex.org/W2026590720","https://openalex.org/W2035936892","https://openalex.org/W2040890982","https://openalex.org/W2058818389","https://openalex.org/W2060509741","https://openalex.org/W2067041689","https://openalex.org/W2071666535","https://openalex.org/W2078706391","https://openalex.org/W2087484885","https://openalex.org/W2089214278","https://openalex.org/W2089326151","https://openalex.org/W2093025551","https://openalex.org/W2100379340","https://openalex.org/W2103608739","https://openalex.org/W2105050084","https://openalex.org/W2105887466","https://openalex.org/W2106096361","https://openalex.org/W2107921264","https://openalex.org/W2108241294","https://openalex.org/W2127119766","https://openalex.org/W2137351972","https://openalex.org/W2137522119","https://openalex.org/W2137739415","https://openalex.org/W2140144366","https://openalex.org/W2140774816","https://openalex.org/W2142409428","https://openalex.org/W2143718277","https://openalex.org/W2148275438","https://openalex.org/W2149017786","https://openalex.org/W2149425285","https://openalex.org/W2153266959","https://openalex.org/W2154868463","https://openalex.org/W2155491257","https://openalex.org/W2159230122","https://openalex.org/W2159316671","https://openalex.org/W2181474227","https://openalex.org/W2330055266","https://openalex.org/W2332038321","https://openalex.org/W2518123748","https://openalex.org/W2594658413","https://openalex.org/W2611554045","https://openalex.org/W2726093832","https://openalex.org/W2767879018","https://openalex.org/W2778210192","https://openalex.org/W2887218930","https://openalex.org/W2912779949","https://openalex.org/W2923034875","https://openalex.org/W2927807270","https://openalex.org/W2949387811","https://openalex.org/W2964543620","https://openalex.org/W2977861455","https://openalex.org/W2999353207","https://openalex.org/W3014479273","https://openalex.org/W3015987295","https://openalex.org/W3030463886","https://openalex.org/W3033733887","https://openalex.org/W3035359632","https://openalex.org/W3043498413","https://openalex.org/W3101433089","https://openalex.org/W3101564372","https://openalex.org/W3122743642","https://openalex.org/W3123458587","https://openalex.org/W3124143691","https://openalex.org/W3160042174","https://openalex.org/W3161452233","https://openalex.org/W3161611391","https://openalex.org/W4220774147","https://openalex.org/W4223476225","https://openalex.org/W4231262102","https://openalex.org/W4288080268","https://openalex.org/W4297813086","https://openalex.org/W4299733421","https://openalex.org/W4319293546","https://openalex.org/W6631643135","https://openalex.org/W6693988648","https://openalex.org/W6723088380","https://openalex.org/W6746631823","https://openalex.org/W6763370362","https://openalex.org/W6768691698","https://openalex.org/W6775384881","https://openalex.org/W6776991795","https://openalex.org/W6795104991"],"related_works":["https://openalex.org/W3184619806","https://openalex.org/W3122603204","https://openalex.org/W4387052167","https://openalex.org/W4388296638","https://openalex.org/W2762410601","https://openalex.org/W4322738848","https://openalex.org/W2256992190","https://openalex.org/W1778273553","https://openalex.org/W2586362949","https://openalex.org/W4362016873"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"can":[3],"infer":[4],"one's":[5],"personality":[6,18,24,26,47,49,62,90,134,185,193],"from":[7,28,50,64],"online":[8],"behavior,":[9],"which":[10],"offers":[11],"an":[12],"interesting":[13],"alternative":[14],"to":[15,25,71,78,88,115,147],"traditional,":[16,183],"self-reported":[17,184],"assessments.":[19],"Recent":[20],"studies":[21],"comparing":[22],"AI-inferred":[23,46,181,192],"derived":[27,63],"traditional":[29],"assessments":[30,91],"have":[31,39],"found":[32,40],"noticeable":[33],"differences":[34],"between":[35,45],"the":[36,101,129,149,176,196],"two":[37,102,130],"(meta-analyses":[38],"mean":[41],"correlations":[42],"of":[43,92,104,166,180,191,198],"0.3":[44],"and":[48,75,95,113,169,178,186,195],"surveys).":[51],"One":[52],"important":[53],"but":[54,143],"unanswered":[55],"question":[56],"is":[57],"how":[58,99],"users":[59,69,98],"perceive":[60,70],"their":[61,111,199],"both":[65,86,121,141,161,170],"methods.":[66],"Which":[67],"do":[68],"be":[72,172],"more":[73,76,145],"accurate,":[74],"satisfying":[77],"use?":[79],"To":[80],"answer":[81],"this":[82],"question,":[83],"we":[84],"used":[85],"methods":[87,131,142,162],"conduct":[89],"595":[93],"participants":[94],"then":[96],"asked":[97],"well":[100,109],"sets":[103],"results":[105,122],"fit":[106,123],"them,":[107],"as":[108,110],"satisfaction":[112],"intention":[114],"use":[116,148,200],"them.":[117],"Participants":[118],"reported":[119,132],"that":[120,160],"them":[124],"equally":[125,138],"well,":[126],"even":[127],"though":[128],"different":[133,164],"scores.":[135],"Users":[136],"were":[137,144],"satisfied":[139],"with":[140],"likely":[146,151],"survey,":[150],"because":[152],"it":[153],"took":[154],"less":[155],"time.":[156],"Our":[157],"findings":[158],"imply":[159],"measure":[163],"aspects":[165],"user":[167],"personality,":[168],"may":[171],"useful.":[173],"We":[174],"discuss":[175],"pros":[177],"cons":[179],"versus":[182],"indicate":[187],"future":[188],"research":[189],"directions":[190],"assessment":[194],"implications":[197],"for":[201],"real-world":[202],"applications.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}