Evidence map›Paper›PMID 39989607›Full record

ArticleInternational journal of social robotics2024

The Social Triad Model: Considering the Deployer in a Novel Approach to Trust in Human-Robot Interaction.

David Cameron, Emily C Collins, Stevienna de Saille, Iveta Eimontaite, Alice Greenwood, James Law

Abstract read
In one paragraph

Article in International journal of social robotics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

David CameronInformation School, University of Sheffield, Sheffield, S10 2TN UK.ORCID 0000-0001-8923-5591
Emily C CollinsInstitute of Experiential Robotics, Northeastern University, Boston, MA 02115 USA.
Stevienna de SailleDepartment of Sociological Studies, University of Sheffield, Sheffield, S10 2TN UK.
Iveta EimontaiteSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedford, MK43 0AL UK.
Alice GreenwoodInformation School, University of Sheffield, Sheffield, S10 2TN UK.
James LawDepartment of Computer Science, University of Sheffield, Sheffield, S10 2TN UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing interest in considering, measuring, and implementing trust in human-robot interaction (HRI). New avenues in this field include identifying social means for robots to influence trust, and identifying social aspects of trust such as a perceptions of robots' integrity, sincerity or even benevolence. However, questions remain regarding robots' authenticity in obtaining trust through social means and their capacity to increase such experiences through social interaction with users. We propose that the dyadic model of HRI misses a key complexity: a robot's trustworthiness may be contingent on the user's relationship with, and opinion of, the individual or organisation deploying the robot (termed here, Deployer). We present a case study in three parts on researching HRI and a LEGO Supplementary Information: The online version contains supplementary material available at 10.1007/s12369-023-01048-3.

Indexed as

DeployerHuman–human interactionTransparencyTrust

Identifiers

PMID39989607
PMCPMC11842407

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.