Evidence map›Paper›PMID 36576927›Full record

ArticlePloS one2022

Stay away from me: Coughing increases social distance even in a virtual environment.

Masahiro Shiomi, Atsumu Kubota, Mitsuhiko Kimoto, Takamasa Iio, Katsunori Shimohara

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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.

Masahiro ShiomiDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.ORCID 0000-0003-4338-801X
Atsumu KubotaDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Mitsuhiko KimotoDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Takamasa IioDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Katsunori ShimoharaDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated whether the coughing behaviors of virtual agents encourage infection avoidance behavior, i.e., distancing behaviors. We hypothesized that the changes in people's lifestyles in physical environments due to COVID-19 probably influence their behaviors, even in virtual environments where no infection risk is present. We focused on different types of virtual agents because non-human agents, such as robot-like agents, cannot spread a virus by coughing. We prepared four kinds of virtual agents (human-like/robot-like and male/female) and coughing behaviors for them and experimentally measured the personal distance maintained by participants toward them. Our experiment results showed that participants chose a greater distance from coughing agents, regardless of the types, and negatively evaluated them. They also chose a greater distance from male agents than from female agents.

Indexed as

COVID-19Avoidance LearningEnvironmentFemaleHumansMale

Identifiers

PMID36576927
PMCPMC9797075

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.