Evidence map›Paper›PMID 39218841›Full record

ArticleCognitive research: principles and implications2024

In human-machine trust, humans rely on a simple averaging strategy.

Jonathon Love, Quentin F Gronau, Gemma Palmer, Ami Eidels, Scott D Brown

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cognitive research: principles and implications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

5 authors.

Jonathon LovePsychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. jonathon.love@uon.edu.au.ORCID 0009-0006-6167-0747
Quentin F GronauPsychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Gemma PalmerPsychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Ami EidelsPsychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Scott D BrownPsychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.

Funding

AUSMURI AUSMURIIV000001Australian Research Council DP210100313
6 · The paper itself

Abstract

With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning to the way that humans and AI work together. A key aspect of human-AI collaboration is how people integrate judgements or recommendations from machine agents, when they differ from their own judgements. We investigated trust in human-machine teaming using a perceptual judgement task based on the judge-advisor system. Participants (

Indexed as

Artificial IntelligenceJudgmentTrustAdultFemaleHumansMaleMan-Machine SystemsYoung AdultAutomationHuman–machine teamJudge–advisor systemTrust

Identifiers

PMID39218841
PMCPMC11366733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.