Estimating and learning personality traits of and from women with borderline personality disorder

Accurately perceiving and learning about others’ personalities is crucial for successful social relationships. Borderline Personality Disorder (BPD) is marked by unstable interpersonal dynamics, an unstable and negative self-concept, and a tendency to evaluate others unfavorably. Individuals with BPD are also more likely to be viewed negatively by others and experience social stigmatization. This study investigated whether women with BPD exhibit negativity biases when evaluating their own and others’ personality traits, and how these biases influence learning about others. Thirty women with BPD and thirty-one age- and intelligence-matched controls estimated and learned the personality of six individuals (learning profiles) by predicting their self-ratings on 40 personality traits, balanced across the Big Five personality dimensions. After each prediction, participants received feedback with the target’s actual rating, allowing participants to gradually learn each profile’s personality. Three profiles reflected BPD group personality patterns and three profiles reflected control group patterns. Crucially, participants were told that these profiles were from real individuals but were unaware of their clinical status. As hypothesized, the BPD group rated themselves more negatively than controls, both at the trait level and on standardized personality measures (NEO-FFI, PID-5-BF). When evaluating others, both groups rated BPD profiles similarly, but the control group rated control profiles more favorably. For both groups, accuracy improved slightly over time for control profiles but not BPD profiles, suggesting that BPD trait patterns are inherently harder to learn. Computational modeling indicated that both groups used fine-grained learning strategies—regardless of profile type—with no credible group differences in learning mechanisms. These findings demonstrate that individuals with BPD exhibit pervasive negativity biases in self- and other-evaluations, yet retain intact social learning capacities. This suggests that interpersonal difficulties in BPD may stem more from negatively biased expectations than from deficits in learning. Moreover, the inherent difficulty in learning about BPD-like personality profiles—observed in both groups—may hinder mutual understanding and contribute to persistent social challenges. Importantly, the intact learning capacity points to a valuable therapeutic resource: targeting negative social expectations may help to reduce bias and improve social functioning in BPD.

Authors

Institutions

Publication Details

Journal
Borderline Personality Disorder and Emotion Dysregulation
Published
2026-02-09
DOI
https://doi.org/10.1186/s40479-025-00320-4
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating and learning personality traits of and from women with borderline personality disorder

Christoph W. Korn, Gabriela Rosenblau, Lisa Marie Doppelhofer, Koen Frolichs et al.
Borderline Personality Disorder and Emotion Dysregulation
Personality Disorders and Psychopathology
article

Estimating and learning personality traits of and from women with borderline personality disorder

Christoph W. Korn, Gabriela Rosenblau, Lisa Marie Doppelhofer, Koen Frolichs, Raphael Perla, Sabine C. Herpertz
article en

Abstract

Accurately perceiving and learning about others’ personalities is crucial for successful social relationships. Borderline Personality Disorder (BPD) is marked by unstable interpersonal dynamics, an unstable and negative self-concept, and a tendency to evaluate others unfavorably. Individuals with BPD are also more likely to be viewed negatively by others and experience social stigmatization. This study investigated whether women with BPD exhibit negativity biases when evaluating their own and others’ personality traits, and how these biases influence learning about others. Thirty women with BPD and thirty-one age- and intelligence-matched controls estimated and learned the personality of six individuals (learning profiles) by predicting their self-ratings on 40 personality traits, balanced across the Big Five personality dimensions. After each prediction, participants received feedback with the target’s actual rating, allowing participants to gradually learn each profile’s personality. Three profiles reflected BPD group personality patterns and three profiles reflected control group patterns. Crucially, participants were told that these profiles were from real individuals but were unaware of their clinical status. As hypothesized, the BPD group rated themselves more negatively than controls, both at the trait level and on standardized personality measures (NEO-FFI, PID-5-BF). When evaluating others, both groups rated BPD profiles similarly, but the control group rated control profiles more favorably. For both groups, accuracy improved slightly over time for control profiles but not BPD profiles, suggesting that BPD trait patterns are inherently harder to learn. Computational modeling indicated that both groups used fine-grained learning strategies—regardless of profile type—with no credible group differences in learning mechanisms. These findings demonstrate that individuals with BPD exhibit pervasive negativity biases in self- and other-evaluations, yet retain intact social learning capacities. This suggests that interpersonal difficulties in BPD may stem more from negatively biased expectations than from deficits in learning. Moreover, the inherent difficulty in learning about BPD-like personality profiles—observed in both groups—may hinder mutual understanding and contribute to persistent social challenges. Importantly, the intact learning capacity points to a valuable therapeutic resource: targeting negative social expectations may help to reduce bias and improve social functioning in BPD.

Borderline Personality Disorder and Emotion DysregulationVol. 13(1)
George Washington University (US), Heidelberg University (DE), University Hospital Heidelberg (DE), NeuroDevelopment Center (US), German Center for Infection Research (DE), German Center for Diabetes Research (DE), Center for Autism and Related Disorders (US)
Openalex Percentile: Top 63%
Personality Disorders and Psychopathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.