Evidence map›Paper›PMID 32648797›Full record

ArticleHuman factors2021

Human Cognition in Interaction With Robots: Taking the Robot's Perspective Into Account.

Sophia von Salm-Hoogstraeten, Jochen Müsseler

Abstract read
In one paragraph

Article in Human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Perspective Taking and Avatar-Self Merging.Frontiers in psychology · 2022
    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

2 authors.

Sophia von Salm-Hoogstraeten9165 RWTH Aachen University, Germany.ORCID 0000-0002-3551-3979
Jochen Müsseler9165 RWTH Aachen University, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study investigated whether and how different human-robot interactions in a physically shared workspace influenced human stimulus-response (SR) relationships.

backgroundHuman work is increasingly performed in interaction with advanced robots. Since human-robot interaction often takes place in physical proximity, it is crucial to investigate the effects of the robot on human cognition.

methodIn two experiments, we compared conditions in which humans interacted with a robot that they either remotely controlled or monitored under otherwise comparable conditions in the same shared workspace. The cognitive extent to which the participants took the robot's perspective served as a dependent variable and was evaluated with a SR compatibility task.

resultsThe results showed pronounced compatibility effects from the robot's perspective when participants had to take the perspective of the robot during the task, but significantly reduced compatibility effects when human and robot did not interact. In both experiments, compatibility effects from the robot's perspective resulted in statistically significant differences in response times and in error rates between compatible and incompatible conditions.

conclusionWe concluded that SR relationships from the perspective of the robot need to be considered when designing shared workspaces that require users to take the perspective of the robot. APPLICATION: The results indicate changed compatibility relationships when users share their workplace with an interacting robot and therefore have to take its perspective from time to time. The perspective-dependent processing times are expected to be accompanied by corresponding error rates, which might affect-for instance-safety and efficiency in a production process.

Indexed as

RoboticsCognitionHumansReaction TimeWorkplacehuman–robot collaborationhuman–robot interactionSimon effectstimulus–response compatibility

Identifiers

PMID32648797
PMCPMC8593285

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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.