Matthias Beggiato

Dr. Matthias Beggiato

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2013 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
MBMatthias Beggiato
Matthias Beggiato
JKJosef F. Krems
Josef F. Krems

1 February 2019 in Applied Ergonomics
Verified
Journal Article
Closed access
CAClaudia Ackermann
Claudia Ackermann
MBMatthias Beggiato
Matthias Beggiato
SSSarah Schubert
Sarah Schubert
JKJosef F. Krems
Josef F. Krems

23 February 2018 in Ergonomics
Verified
Journal Article
Closed access
FHFranziska Hartwich
Franziska Hartwich
MBMatthias Beggiato
Matthias Beggiato
JKJosef F. Krems
Josef F. Krems
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.

1 November 2015 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
MBMatthias Beggiato
Matthias Beggiato
MPMarta Pereira
Marta Pereira
TPTibor Petzoldt
Tibor Petzoldt
JKJosef Krems
Josef Krems

1 August 2019 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
FHFranziska Hartwich
Franziska Hartwich
CWClaudia Witzlack
Claudia Witzlack
MBMatthias Beggiato
Matthias Beggiato
JKJosef F. Krems
Josef F. Krems

1 November 2017 in Neurocomputing
Verified
Journal Article
Closed access
FBFranziska Bocklisch
Franziska Bocklisch
SBSteffen F. Bocklisch
Steffen F. Bocklisch
MBMatthias Beggiato
Matthias Beggiato
JKJosef F. Krems
Josef F. Krems