Bridging minds and machines: Unmasking the limits in text‐based automatic personality recognition for enhanced psychology–AI synergy.
Text‐based automatic personality recognition (APR) operates at the intersection of artificial intelligence (AI) and psychology to determine the personality of an individual from their text sample. This covert form of personality assessment is key for a variety of online applications that contribute...
| Publicado en: | British Journal of Psychology Vol. 117; no. 2; pp. 702 - 725 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
May2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192785886&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192785886 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00071269 BJP jtl: British Journal of Psychology issn: 00071269 maglogo: Y pubinfo: dt: May2026 vid: 117 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 192785886 10.1111/bjop.12755 ppf: 702 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.8MB tig: atl: Bridging minds and machines: Unmasking the limits in text‐based automatic personality recognition for enhanced psychology–AI synergy. aug: au: Bhandarkar, Avanti Wilson, Ronald Swarup, Anushka Webster, Gregory D. Woodard, Damon affil: Florida Institute for National Security (FINS), Gainesville Florida,, USA Department of Psychology, University of Florida, Gainesville Florida,, USA su: Language & languages Speech Artificial intelligence Personality assessment Psychology Psycholinguistics Psychometrics Personality Personality tests Conceptual models Data mining Benchmarking (Management) Natural language processing Machine learning Text messages Algorithms sug: subj: Language & languages Speech Artificial intelligence Personality assessment Psychology Psycholinguistics Psychometrics Personality Personality tests Wireless Telecommunications Carriers (except Satellite) Conceptual models Data mining Benchmarking (Management) Natural language processing Machine learning Text messages Algorithms keyword: automatic personality recognition big five dark triad human–AI teaming lexical hypothesis automatic personality recognition big five dark triad human–AI teaming lexical hypothesis ab: Text‐based automatic personality recognition (APR) operates at the intersection of artificial intelligence (AI) and psychology to determine the personality of an individual from their text sample. This covert form of personality assessment is key for a variety of online applications that contribute to individual convenience and well‐being such as that of chatbots and personal assistants. Despite the availability of good quality data utilizing state‐of‐the‐art AI methods, the reported performance of these recognition systems remains below expectations in comparable areas. Consequently, this work investigates and identifies the source of this performance limit and attributes it to the flawed assumptions of text‐based APR. These insights are obtained via a large‐scale comprehensive benchmark and analysis of text data from five corpora with diverse characteristics and complementary personality models (Big Five and Dark Triad) applied to an assortment of AI methods ranging from hand‐crafted linguistic features to data‐driven transformers. Finally, the work concludes by identifying the open problems that can help navigate the limitations in text‐based automatic personality recognition to a great extent. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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