Literature DB >> 29451092

Driving comfort, enjoyment and acceptance of automated driving - effects of drivers' age and driving style familiarity.

Franziska Hartwich1, Matthias Beggiato, Josef F Krems.   

Abstract

Automated driving has the potential to improve the safety and efficiency of future traffic and to extend elderly peoples' driving life, provided it is perceived as comfortable and joyful and is accepted by drivers. Driving comfort could be enhanced by familiar automated driving styles based on drivers' manual driving styles. In a two-stage driving simulator study, effects of driving automation and driving style familiarity on driving comfort, enjoyment and system acceptance were examined. Twenty younger and 20 older drivers performed a manual and four automated drives of different driving style familiarity. Acceptance, comfort and enjoyment were assessed after driving with standardised questionnaires, discomfort during driving via handset control. Automation increased both age groups' comfort, but decreased younger drivers' enjoyment. Younger drivers showed higher comfort, enjoyment and acceptance with familiar automated driving styles, whereas older drivers preferred unfamiliar, automated driving styles tending to be faster than their age-affected manual driving styles. Practitioner Summary: Automated driving needs to be comfortable and enjoyable to be accepted by drivers, which could be enhanced by driving style individualisation. This approach was evaluated in a two-stage driving simulator study for different age groups. Younger drivers preferred familiar driving styles, whereas older drivers preferred driving styles unaffected by age.

Entities:  

Keywords:  Older drivers; acceptance; automated driving style; discomfort; driving enjoyment

Mesh:

Year:  2018        PMID: 29451092     DOI: 10.1080/00140139.2018.1441448

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  5 in total

1.  Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving.

Authors:  Matthias Beggiato; Franziska Hartwich; Josef Krems
Journal:  Front Hum Neurosci       Date:  2018-09-24       Impact factor: 3.169

2.  Assessing acceptance of electric automated vehicles after exposure in a realistic traffic environment.

Authors:  Jan C Zoellick; Adelheid Kuhlmey; Liane Schenk; Daniel Schindel; Stefan Blüher
Journal:  PLoS One       Date:  2019-05-02       Impact factor: 3.240

3.  Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics.

Authors:  Jan C Zoellick; Adelheid Kuhlmey; Liane Schenk; Stefan Blüher
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

4.  Willingness to Use Automated Vehicles: Results From a Large and Diverse Sample of U.S. Older Adults.

Authors:  Travis Kadylak; Shelia R Cotten; Chris Fennell
Journal:  Gerontol Geriatr Med       Date:  2021-06-24

5.  User Evaluation of Passenger Assistance System Concepts on Public Highways.

Authors:  Sandra Ittner; Dominik Mühlbacher; Alexandra Neukum; Thomas H Weisswange
Journal:  Front Psychol       Date:  2021-12-09
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.