Effectiveness of Lateral Auditory Collision Warnings: Should Warnings Be Toward Danger or Toward Safety?

auditory warning lateral collision warning semi-autonomous driving stimulus–response compatibility

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
03 2022
Historique:
pubmed: 12 8 2020
medline: 20 4 2022
entrez: 12 8 2020
Statut: ppublish

Résumé

The present study investigated the design of spatially oriented auditory collision-warning signals to facilitate drivers' responses to potential collisions. Prior studies on collision warnings have mostly focused on manual driving. It is necessary to examine the design of collision warnings for safe takeover actions in semi-autonomous driving. In a video-based semi-autonomous driving scenario, participants responded to pedestrians walking across the road, with a warning tone presented in either the avoidance direction or the collision direction. The time interval between the warning tone and the potential collision was also manipulated. In Experiment 1, pedestrians always started walking from one side of the road to the other side. In Experiment 2, pedestrians appeared in the middle of the road and walked toward either side of the road. In Experiment 1, drivers reacted to the pedestrian faster with collision-direction warnings than with avoidance-direction warnings. In Experiment 2, the difference between the two warning directions became nonsignificant. In both experiments, shorter time intervals to potential collisions resulted in faster reactions but did not influence the effect of warning direction. The collision-direction warnings were advantageous over the avoidance-direction warnings only when they occurred at the same lateral location as the pedestrian, indicating that this advantage was due to the capture of attention by the auditory warning signals. The present results indicate that drivers would benefit most when warnings occur at the side of potential collision objects rather than the direction of a desirable action during semi-autonomous driving.

Sections du résumé

OBJECTIVE
The present study investigated the design of spatially oriented auditory collision-warning signals to facilitate drivers' responses to potential collisions.
BACKGROUND
Prior studies on collision warnings have mostly focused on manual driving. It is necessary to examine the design of collision warnings for safe takeover actions in semi-autonomous driving.
METHOD
In a video-based semi-autonomous driving scenario, participants responded to pedestrians walking across the road, with a warning tone presented in either the avoidance direction or the collision direction. The time interval between the warning tone and the potential collision was also manipulated. In Experiment 1, pedestrians always started walking from one side of the road to the other side. In Experiment 2, pedestrians appeared in the middle of the road and walked toward either side of the road.
RESULTS
In Experiment 1, drivers reacted to the pedestrian faster with collision-direction warnings than with avoidance-direction warnings. In Experiment 2, the difference between the two warning directions became nonsignificant. In both experiments, shorter time intervals to potential collisions resulted in faster reactions but did not influence the effect of warning direction.
CONCLUSION
The collision-direction warnings were advantageous over the avoidance-direction warnings only when they occurred at the same lateral location as the pedestrian, indicating that this advantage was due to the capture of attention by the auditory warning signals.
APPLICATION
The present results indicate that drivers would benefit most when warnings occur at the side of potential collision objects rather than the direction of a desirable action during semi-autonomous driving.

Identifiants

pubmed: 32779474
doi: 10.1177/0018720820941618
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

418-435

Auteurs

Jing Chen (J)

6042 Old Dominion University, Norfolk, Virginia, USA.

Edin Šabić (E)

4423 New Mexico State University, Las Cruces, USA.

Scott Mishler (S)

6042 Old Dominion University, Norfolk, Virginia, USA.

Cody Parker (C)

6042 Old Dominion University, Norfolk, Virginia, USA.

Motonori Yamaguchi (M)

University of Essex, Colchester, UK.

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Classifications MeSH