Evidence map›Paper›PMID 36795649›Full record

ArticlePloS one2023

Robot leadership-Investigating human perceptions and reactions towards social robots showing leadership behaviors.

Jakub Edward Cichor, Sylvia Hubner-Benz, Tobias Benz, Franziska Emmerling, Claudia Peus

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
5.0field-weighted citation impact, top 5% of its field
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, 15 citations in OpenAlex.

  1. 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 at 2 institutions in 2 countries.

Jakub Edward CichorNeurophysiological Leadership Lab, Technical University of Munich, TUM School of Management, Munich, Germany.ORCID 0000-0003-3432-1593
Sylvia Hubner-BenzFaculty of Economics and Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy.
Tobias BenzMerkle DACH, Munich, Germany.
Franziska EmmerlingNeurophysiological Leadership Lab, Technical University of Munich, TUM School of Management, Munich, Germany.
Claudia PeusNeurophysiological Leadership Lab, Technical University of Munich, TUM School of Management, Munich, Germany.
Technical University of Munich · DEFree University of Bozen-Bolzano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-robot interaction research has shown that social robots can interact with humans in complex social situations and display leadership-related behaviors. Therefore, social robots could be able to take on leadership roles. The aim of our study was to investigate human followers' perceptions and reactions towards robot leadership behavior, and differences based on the robot's displayed leadership style. We implemented a robot to show either a transformational or a transactional leadership style in its speech and its movements. We presented the robot to university and executive MBA students (N = 29) and subsequently conducted semi-structured interviews and group discussions. The results of explorative coding indicated that participants differed in their perceptions and reactions based on the robot's leadership style and based on their assumptions about robots in general. We observed that participants quickly imagined either a utopia or worried about a dystopia, depending on the robot's leadership style and their assumptions, and that a subsequent reflection led to more nuanced views. We discuss the implications and recommendations for human-robot interaction and leadership research.

Indexed as

RoboticsAnxietyHumansLeadershipSocial InteractionSpeech

Identifiers

PMID36795649
PMCPMC9934409
OpenAlexW4321004725

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.