Evidence map›Paper›PMID 40208739›Full record

ArticleJournal of personality and social psychology2025

Automatic implicit motive codings are at least as accurate as humans' and 99% faster.

August Håkan Nilsson, J Malte Runge, Adithya V Ganesan, Carl Viggo N G Lövenstierne, Nikita Soni, Oscar N E Kjell

Abstract read
In one paragraph

Article in Journal of personality and social psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

August Håkan NilssonOslo Business School, Oslo Metropolitan University.ORCID 0000-0003-2416-3755
J Malte RungeOslo Business School, Oslo Metropolitan University.ORCID 0000-0003-0594-6578
Adithya V GanesanDepartment of Computer Science, Stony Brook University.ORCID 0000-0001-6179-624X
Carl Viggo N G LövenstierneSchool of Engineering Sciences, KTH Royal Institute of Technology.ORCID 0009-0003-3345-2441
Nikita SoniDepartment of Computer Science, Stony Brook University.ORCID 0009-0001-0238-9844
Oscar N E KjellDepartment of Computer Science, Stony Brook University.ORCID 0000-0002-2728-6278

Funding

Large-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant WorkersR01AA028032 · NIAAA · STATE UNIVERSITY NEW YORK STONY BROOK · PI SCHWARTZ, HANSEN ANDREW · 2020 to 2023
$2.5M
eSSENCE@LU (7:5)National Institutes of Health; National Institute on Alcohol Abuse and AlcoholismNIAAA NIH HHS R01 AA028032Swedish Research Council
6 · The paper itself

Abstract

Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions, have been part of personality research for nearly a century but differ from personality traits. The implicit motive assessment is very resource-intensive, involving expert coding of individuals' written stories about ambiguous pictures, and has hampered implicit motive research. Using large language models and machine learning techniques, we aimed to create high-quality implicit motive models that are easy for researchers to use. We trained models to code the need for power, achievement, and affiliation (

Indexed as

Machine LearningMotivationPersonalityAdultFemaleHumansMaleYoung Adult

Identifiers

PMID40208739
PMCPMC12140919

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.