Evidence map›Paper›PMID 33776838›Full record

ArticleFrontiers in psychology2021

Visual Feedback Effectiveness in Reducing Over Speeding of Moped-Riders.

Mariaelena Tagliabue, Riccardo Rossi, Massimiliano Gastaldi, Giulia De Cet, Francesca Freuli, Federico Orsini, Leandro L Di Stasi, Giulio Vidotto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2021. 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. 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

8 authors.

Mariaelena TagliabueDepartment of General Psychology, University of Padua, Padua, Italy.
Riccardo RossiDepartment of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy.
Massimiliano GastaldiDepartment of General Psychology, University of Padua, Padua, Italy.
Giulia De CetDepartment of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy.
Francesca FreuliDepartment of General Psychology, University of Padua, Padua, Italy.
Federico OrsiniDepartment of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy.
Leandro L Di StasiMind, Brain, and Behavior Research Center, University of Granada, Granada, Spain.
Giulio VidottoDepartment of General Psychology, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of assistance systems aimed at reducing road fatalities is spreading, especially for car drivers, but less effort has been devoted to developing and testing similar systems for powered two-wheelers (PTWs). Considering that over speeding represents one of the main causal factors in road crashes and that riders are more vulnerable than drivers, in the present study we investigated the effectiveness of an assistance system which signaled speed limit violations during a simulated moped-driving task, in optimal and poor visibility conditions. Participants performed four conditions of simulated riding: one baseline condition without Feedback, one Fog condition in which visual feedback was provided so as to indicate to the participants when a speed limit (lower than that indicated by the traffic signals) was exceeded, and two post-Feedback conditions with and without Fog, respectively, in which no feedback was delivered. Results showed that participants make fewer speeding violations when the feedback is not provided, after 1 month, and regardless of the visibility condition. Finally, the feedback has been proven effective in reducing speed violations in participants with an aggressive riding style, as measured in the baseline session.

Indexed as

active warning systemsalert feedbacklong lasting learning effectsmoped-riding simulatortwo-wheel drivers

Identifiers

PMID33776838
PMCPMC7990878

What OpenQuestion holds

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Registered trials

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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.