Evidence map›Paper›PMID 40307390›Full record

ArticleScientific reports2025

HMI efficiency, usability and workload during take-over in AVs.

Aleksandra Rodak, Mikołaj Kruszewski, Anna Niedzicka

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Aleksandra RodakInstytut Transportu Samochodowego, Jagiellońska 80, 03-301, Warsaw, Poland. aleksandra.rodak@its.waw.pl.
Mikołaj KruszewskiInstytut Transportu Samochodowego, Jagiellońska 80, 03-301, Warsaw, Poland.
Anna NiedzickaInstytut Transportu Samochodowego, Jagiellońska 80, 03-301, Warsaw, Poland.

Funding

European Union's Horizon 2020 Research and Innovation Program 815003
6 · The paper itself

Abstract

In highly automated vehicles the driver benefits from the technology which is able to control movement of the vehicle with only his or her supervision. It rises questions on how to manage driver attention in the face of sudden events that need his intervention. The following paper focuses on the result of the study of different Human-Machine Interfaces for Highway Chauffeur-SAE J3016 level 4 system capable to automatically drive in highway conditions-and the performance of control transition to the human driver in situation of operational domain exceedance. The study performed in high-fidelity car simulator for 81 participants that uses different HMI's: visual, auditory, haptic and personalized auditory shows the directions in which the novel interfaces may be developed to better interact with the users in safety-critical situations. Tactile-haptic interface gave the best prospects both in terms of objective indicators like time of reaction, and workload and in subjective users' opinions.

Indexed as

Automobile DrivingMan-Machine SystemsUser-Computer InterfaceWorkloadAdultComputer SimulationFemaleHumansMaleYoung AdultAutomated vehicleDriver workloadHMIRequest to interveneTake-over request

Identifiers

PMID40307390
PMCPMC12043858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.