Evidence map›Paper›PMID 31183620›Full record

ArticleCognitive, affective & behavioral neuroscience2019

Impressions of HIV risk online: Brain potentials while viewing online dating profiles.

Ralf Schmälzle, Martin A Imhof, Alex Kenter, Britta Renner, Harald T Schupp

Abstract read
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In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2019. 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

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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. 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.

Ralf SchmälzleDepartment of Communication, College of Arts and Sciences, Michigan State University, East Lansing, MI, USA. ralf.schmaelzle@gmail.com.
Martin A ImhofDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Alex KenterDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Britta RennerDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Harald T SchuppDepartment of Psychology, University of Konstanz, Konstanz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing trend to use online dating to meet potential partners. Previous studies in off-line contexts indicate that people may judge the risk of sexually transmitted infections based on a person's appearance. Online dating profiles commonly present profile pictures and verbal self-descriptions. To examine the integration of verbal and visual risk information, the current event-related potential (ERP) study used a simulated dating platform in which verbal-descriptive information (low vs. high verbal risk) was presented, followed by a photograph (low vs. high visual risk). Results indicated main effects of verbal and visual risk. Specifically, high-risk compared with low-risk verbal profiles elicited a relative negative shift over occipitoparietal sensor sites between 260 ms and 408 ms. Furthermore, a sustained occipital negativity (132-500 ms) and central positivity (156-272 ms) was observed for high as compared with low visual risk profiles. There was also evidence for the integration of verbal and visual risk formation, as indicated by distinct positive ERP shift occurred between 272 ms and 428 ms over anterior temporal regions when a high-risk photograph was preceded by high-risk verbal information. This suggests that verbal-descriptive information is integrated with visual appearance early in the processing stream. The distinct response for high verbal and visual information extends the notion of an alarm function ascribed to risk perception by demonstrating integration about multiple sources. Simulating online dating platforms provides a useful tool to examine intuitive risk perception.

Indexed as

HIV InfectionsSocial PerceptionAdultBrainCourtshipElectroencephalographyEvoked PotentialsFemaleHumansInternetInterpersonal RelationsMaleVisual PerceptionYoung AdultAffectEEGHIVIntuitionOnline datingRisk perception

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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.