Evidence map›Paper›PMID 37099529›Full record

ArticlePloS one2023

A zero-cost attention-based approach to promote cleaner streets: A Signal Detection Theory approach in Parisian streets.

Rita Abdel Sater, Mathilde Mus, Valentin Wyart, Coralie Chevallier

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Rita Abdel SaterDépartement d'études Cognitives, LNC², Ecole Normale Supérieure, INSERM, Université PSL, Paris, France.ORCID 0000-0002-0073-5467
Mathilde MusDépartement d'études Cognitives, LNC², Ecole Normale Supérieure, INSERM, Université PSL, Paris, France.
Valentin WyartDépartement d'études Cognitives, LNC², Ecole Normale Supérieure, INSERM, Université PSL, Paris, France.
Coralie ChevallierDépartement d'études Cognitives, LNC², Ecole Normale Supérieure, INSERM, Université PSL, Paris, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an effort to inform interventions targeting littering behaviour, we estimate how much a change in trash-bag colour increases trash can visibility in Paris. To that end, we applied standard Signal Detection techniques to test how much changing trash-bag colour affects subjects' trash can detection rates. In three pre-registered studies, we found that changing trash bag colour from grey to either red, green or blue considerably increases the perception of bins in British (tourist) and Parisian (resident) samples. We found that changing the bag colour from grey to blue increased visibility the most.

Indexed as

GarbageSignal Detection, PsychologicalColor PerceptionHumansParis

Identifiers

PMID37099529
PMCPMC10132669
OpenAlexW4367047750

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.