Evidence map›Paper›PMID 38403717›Full record

ArticleScientific reports2024

A virtual reality experiment to study pedestrian perception of future street scenarios.

Javier Argota Sánchez-Vaquerizo, Carina I Hausladen, Sachit Mahajan, Marc Matter, Michael Siebenmann, Michael A B van Eggermond, Dirk Helbing

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 3 institutions in 3 countries.

Javier Argota Sánchez-VaquerizoETH Zürich, Computational Social Science, 8092, Zurich, Switzerland. javier.argota@gess.ethz.ch.ORCID 0000-0001-9389-6616
Carina I HausladenETH Zürich, Computational Social Science, 8092, Zurich, Switzerland.
Sachit MahajanETH Zürich, Computational Social Science, 8092, Zurich, Switzerland.ORCID 0000-0001-9558-8895
Marc MatterETH Zürich, Computational Social Science, 8092, Zurich, Switzerland.
Michael SiebenmannETH Zürich, Computational Social Science, 8092, Zurich, Switzerland.
Michael A B van EggermondUniversity of Applied Sciences Northwestern Switzerland (FHNW), 4132, Muttenz, Switzerland.
Dirk HelbingETH Zürich, Computational Social Science, 8092, Zurich, Switzerland.
ETH Zurich · CHCalifornia Institute of Technology · USFHNW University of Applied Sciences and Arts · CH

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 833168
6 · The paper itself

Abstract

The current allocation of street space is based on expected vehicular peak-hour flows. Flexible and adaptive use of this space can respond to changing needs. To evaluate the acceptability of flexible street layouts, several urban environments were designed and implemented in virtual reality. Participants explored these designs in immersive virtual reality in a [Formula: see text] mixed factorial experiment, in which we analysed self-reported, behavioural and physiological responses from participants. Distinct communication strategies were varied between subjects. Participants' responses reveal a preference for familiar solutions. Unconventional street layouts are less preferred, perceived as unsafe and cause a measurably greater stress response. Furthermore, information provision focusing on comparisons lead participants to focus primarily on the drawbacks, instead of the advantages of novel scenarios. When being able to freely express thoughts and opinions, participants are focused more on the impact of space design on behaviour rather than the objective physical features themselves. Especially, this last finding suggests that it is vital to develop new street scenarios in an inclusive and democratic way: the success of innovating urban spaces depends on how well the vast diversity of citizens' needs is considered and met.

Indexed as

PedestriansText MessagingVirtual RealityHumansPerceptionPhysical Examination

Identifiers

PMID38403717
PMCPMC10894882
OpenAlexW4392144005

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.