Evidence map›Paper›PMID 35432066›Full record

ArticleFrontiers in psychology2022

Trust in the Danger Zone: Individual Differences in Confidence in Robot Threat Assessments.

Jinchao Lin, April Rose Panganiban, Gerald Matthews, Katey Gibbins, Emily Ankeney, Carlie See, Rachel Bailey, Michael Long

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jinchao LinInstitute for Simulation and Training, University of Central Florida, Orlando, FL, United States.
April Rose PanganibanAir Force Research Laboratory, Dayton, OH, United States.
Gerald MatthewsDepartment of Psychology, George Mason University, Fairfax, VA, United States.
Katey GibbinsAir Force Research Laboratory, Dayton, OH, United States.
Emily AnkeneyAir Force Research Laboratory, Dayton, OH, United States.
Carlie SeeAir Force Research Laboratory, Dayton, OH, United States.
Rachel BaileyAir Force Research Laboratory, Dayton, OH, United States.
Michael LongAir Force Research Laboratory, Dayton, OH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective human-robot teaming (HRT) increasingly requires humans to work with intelligent, autonomous machines. However, novel features of intelligent autonomous systems such as social agency and incomprehensibility may influence the human's trust in the machine. The human operator's mental model for machine functioning is critical for trust. People may consider an intelligent machine partner as either an advanced tool or as a human-like teammate. This article reports a study that explored the role of individual differences in the mental model in a simulated environment. Multiple dispositional factors that may influence the dominant mental model were assessed. These included the Robot Threat Assessment (RoTA), which measures the person's propensity to apply tool and teammate models in security contexts. Participants (

Indexed as

autonomous systemsconfidenceemotionhuman–robot interactionindividual differencesmental modelsthreattrust

Identifiers

PMID35432066
PMCPMC9008327

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.