Evidence map›Paper›PMID 33580149›Full record

ArticleScientific reports2021

Dynamic scan paths investigations under manual and highly automated driving.

Jordan Navarro, Otto Lappi, François Osiurak, Emma Hernout, Catherine Gabaude, Emanuelle Reynaud

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Can gaze control steering?Journal of vision · 2023
    Article
  5. Review
  6. 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

6 authors.

Jordan NavarroEMC (Laboratoire D'étude Des Mécanismes Cognitifs), University Lyon 2, Bron, France. jordan.navarro@univ-lyon2.fr.
Otto LappiTraffic Research Unit, University of Helsinki, Helsinki, Finland.
François OsiurakEMC (Laboratoire D'étude Des Mécanismes Cognitifs), University Lyon 2, Bron, France.
Emma HernoutEMC (Laboratoire D'étude Des Mécanismes Cognitifs), University Lyon 2, Bron, France.
Catherine GabaudeIFSTTAR-TS2-LESCOT, University of Lyon, Bron, France.
Emanuelle ReynaudEMC (Laboratoire D'étude Des Mécanismes Cognitifs), University Lyon 2, Bron, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers' visual inputs. Despite knowledge gained on gaze behaviour behind the wheel, our understanding of the sequential aspects of the gaze strategies that actively sample that input remains restricted. Here, we apply scan path analysis to investigate sequences of visual scanning in manual and highly automated simulated driving. Five stereotypical visual sequences were identified under manual driving: forward polling (i.e. far road explorations), guidance, backwards polling (i.e. near road explorations), scenery and speed monitoring scan paths. Previously undocumented backwards polling scan paths were the most frequent. Under highly automated driving backwards polling scan paths relative frequency decreased, guidance scan paths relative frequency increased, and automation supervision specific scan paths appeared. The results shed new light on the gaze patterns engaged while driving. Methodological and empirical questions for future studies are discussed.

Identifiers

PMID33580149
PMCPMC7881108

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.