Evidence map›Paper›PMID 37177658›Full record

ReviewSensors (Basel, Switzerland)2023

External Human-Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human-Computer Interaction Literature.

Sarah Brill, William Payre, Ashim Debnath, Ben Horan, Stewart Birrell

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. 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

5 authors.

Sarah BrillCentre for Future Transport and Cities, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0002-6853-0724
William PayreCentre for Future Transport and Cities, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0002-6178-9047
Ashim DebnathFaculty of Science, Engineering and Built Environment, Deakin University, Waurn Ponds, VIC 3216, Australia.
Ben HoranFaculty of Science, Engineering and Built Environment, Deakin University, Waurn Ponds, VIC 3216, Australia.ORCID 0000-0002-6723-259X
Stewart BirrellCentre for Future Transport and Cities, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0001-8778-4087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the rise of automated vehicles from an engineering and technical perspective, there has been increased research interest concerning the Human and Computer Interactions (HCI) between vulnerable road users (VRUs, such as cyclists and pedestrians) and automated vehicles. As with all HCI challenges, clear communication and a common understanding-in this application of shared road usage-is critical in order to reduce conflicts and crashes between the VRUs and automated vehicles. In an effort to solve this communication challenge, various external human-machine interface (eHMI) solutions have been developed and tested across the world. This paper presents a timely critical review of the literature on the communication between automated vehicles and VRUs in shared spaces. Recent developments will be explored and studies analyzing their effectiveness will be presented, including the innovative use of Virtual Reality (VR) for user assessments. This paper provides insight into several gaps in the eHMI literature and directions for future research, including the need to further research eHMI effects on cyclists, investigate the negative effects of eHMIs, and address the technical challenges of eHMI implementation. Furthermore, it has been underlined that there is a lack of research into the use of eHMIs in shared spaces, where the communication and interaction needs differ from conventional roads.

Indexed as

Autonomous VehiclesPedestriansAccidents, TrafficCommunicationComputersHumansautomated vehicleexternal human–machine interfaceshared space vulnerable road user

Identifiers

PMID37177658
PMCPMC10181761

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.