Literature DB >> 31268359

Transporting Children in Autonomous Vehicles: An Exploratory Study.

Patrice D Tremoulet1, Thomas Seacrist, Chelsea Ward McIntosh, Helen Loeb2, Anna DiPietro1, Sophia Tushak2.   

Abstract

OBJECTIVE: Identify factors that impact parents' decisions about allowing an unaccompanied child to ride in an autonomous vehicle (AV).
BACKGROUND: AVs are being tested in several U.S. cities and on highways in multiple states. Meanwhile, suburban parents are using ridesharing services to shuttle children from school to extracurricular activities. Parents may soon be able to hire AVs to transport children.
METHOD: Nineteen parents of 8- to 16-year-old children, and some of their children, rode in a driving simulator in autonomous mode, then were interviewed. Parents also participated in focus groups. Topics included minimum age for solo child passengers, types of trips unaccompanied children might take, and vehicle features needed to support child passengers.
RESULTS: Parents would require two-way audio communication and prefer video feeds of vehicle interiors, seatbelt checks, automatic locking, secure passenger identification, and remote access to vehicle information. Parents cited convenience as the greatest benefit and fear that AVs could not protect passengers during unplanned trip interruptions as their greatest concern.
CONCLUSION: Manufacturers have an opportunity to design family-friendly AVs from the outset, rather than retrofit them to be safe for child passengers. More research, especially usability studies where families interact with technology prototypes, is needed to understand how AV design impacts child passengers. APPLICATION: Potential applications of this research include not only designing vehicles that can be used to safely transport children, seniors who no longer drive, and individuals with disabilities but also developing regulations, policies, and societal infrastructure to support safe child transport via AVs.

Entities:  

Keywords:  autonomous driving; children; human–automation interaction; intelligent vehicle systems; parent decision making; vehicle design

Year:  2019        PMID: 31268359     DOI: 10.1177/0018720819853993

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  2 in total

1.  Characterization of Noise Level Inside a Vehicle under Different Conditions.

Authors:  Daniel Flor; Danilo Pena; Luan Pena; Vicente A de Sousa; Allan Martins
Journal:  Sensors (Basel)       Date:  2020-04-27       Impact factor: 3.576

2.  Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions.

Authors:  Daniel Flor; Danilo Pena; Hyago Lucas Oliveira; Luan Pena; Vicente A de Sousa; Allan Martins
Journal:  Sensors (Basel)       Date:  2022-03-02       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.