SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Winter SR, Keebler JR, Rice S, Mehta R, Baugh BS. Transp. Res. F Traffic Psychol. Behav. 2018; 58: 431-441.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.trf.2018.06.033

PMID

unavailable

Abstract

Emergency medical transports provide life-saving services to their patients; however, staffing levels in the United States are leading to reduced capabilities or even in extreme situations, an inability to provide ambulance services. As technology continues to increase, driverless vehicles are becoming a reality. It is possible, in the near future, that technology may be able to support an ambulance operated autonomously. Therefore, the purpose of this study was to try and determine patient's willingness to ride on an ambulance operated autonomously as opposed to one driven by a human. Affect measures were also collected to determine if affect mediated the relationship between willingness to ride and the type of ambulance configuration. Through the use of 3 studies, the findings indicate that patients were less willing to ride in the scenario where the ambulance was operated autonomously than in the traditional configuration, and there was a significant interaction between gender and type of ambulance configuration with females being less willing to ride in the autonomous ambulance than males. Affect was found to act as a mediator between willingness to ride and the type of ambulance. Additionally, through the use of the six universal facial expressions, it was determined that the mediating emotions for males were fear and happiness, and the mediating emotion for females was anger. The authors propose practical implications of these research findings and suggest areas of future research.

Keywords

Affect; Ambulance; Autopilot; Willingness to ride

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print