Model-based exploration is measurable across tasks but not linked to personality and psychiatric assessments.
Sci. Rep. 15:27479 (2025)
An increasing number of studies have used multi-armed bandit tasks to investigate individual differences in exploration behavior. However, the psychometric properties of exploration measures remain unexplored. We examine the test-retest reliability, convergent, divergent, and external validity of model-based estimates of exploration strategies using three canonical paradigms. Our results revealed poor to moderate reliability, with minimal correlations for the same strategy across tasks. We then provide actionable recommendations for how to improve reliability and convergence across tasks: Simplifying common computational models enabled us to identify two convergently valid latent factors representing value-guided and directed exploration. Still, these factors showed neither a significant correlation with self-reported exploration tendencies nor with mood fluctuations, symptoms of anxiety, and depression. The exploration factors were, however, highly correlated with working memory capacity, questioning whether they provide additional information beyond performance-related constructs. To improve future research, we suggest simplifying common computational models and using multiple tasks to more accurately measure exploration strategies and mitigate spurious correlations arising from task-specific factors.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Exploration Strategies ; Exploration–exploitation ; Few-armed Bandits ; Reliability ; Validity; Working-memory Capacity; Individual-differences; Information; Validation
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2025
Prepublished im Jahr
0
HGF-Berichtsjahr
2025
ISSN (print) / ISBN
2045-2322
e-ISSN
2045-2322
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 15,
Heft: 1,
Seiten: ,
Artikelnummer: 27479
Supplement: ,
Reihe
Verlag
Nature Publishing Group
Verlagsort
London
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of AI for Health (AIH)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-540011-001
Förderungen
ERC Starting Grant
Helmholtz Munich, a Jacobs Research Fellowship
Max Planck Society
Helmholtz Zentrum Mnchen - Deutsches Forschungszentrum fr Gesundheit und Umwelt (GmbH) (4209)
Copyright
Erfassungsdatum
2025-08-01