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Matthias Beggiato

Researcher at Chemnitz University of Technology

Publications -  42
Citations -  1375

Matthias Beggiato is an academic researcher from Chemnitz University of Technology. The author has contributed to research in topics: Driving simulator & Computer science. The author has an hindex of 15, co-authored 35 publications receiving 903 citations.

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The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information

TL;DR: This study systematically investigates the effect of divergent initial mental models of ACC on trust, acceptance and mental model evolvement and indicates that automation failures do not negatively affect trust and acceptance if they are known beforehand.
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An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?

TL;DR: The results show that direct instructions to cross the street are preferred over status information of the vehicle and that large-scale text-based messages from the vehicle to the pedestrian, deliver better results.
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Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study

TL;DR: In this paper, the authors investigated the learning process of adaptive cruise control (ACC) and the development of trust, acceptance, and the mental model for interacting with it in a 2-month period.
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Driving comfort, enjoyment and acceptance of automated driving - effects of drivers' age and driving style familiarity.

TL;DR: Younger drivers showed higher comfort, enjoyment and acceptance with familiar automateddriving styles, whereas older drivers preferred unfamiliar, automated driving styles tending to be faster than their age-affected manual driving styles.
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The first impression counts – A combined driving simulator and test track study on the development of trust and acceptance of highly automated driving

TL;DR: In this paper, the authors examined the development of drivers' trust and acceptance regarding HAD at different stages of system experience in a driving simulator as well as on a test track and found that older drivers reported a more positive attitude towards using HAD despite their lower self-assessed self-efficacy and environmental conditions facilitating HAD-usage compared to younger drivers.