Searched for: author%3A%22Kyriakidis%2C+M.%22
(1 - 8 of 8)
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Nordhoff, S. (author), Kyriakidis, M. (author), van Arem, B. (author), Happee, R. (author)
Automated vehicle acceptance (AVA) is a necessary condition for the realisation of higher-level objectives such as improvements in road safety, reductions in traffic congestion and environmental pollution. On the basis of a systematic literature review of 124 empirical studies, the present study proposes MAVA, a multi-level model to predict...
review 2019
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Bazilinskyy, P. (author), Kyriakidis, M. (author), Dodou, D. (author), de Winter, J.C.F. (author)
When fully automated cars will be widespread is a question that has attracted considerable attention from futurists, car manufacturers, and academics. This paper aims to poll the public's expectations regarding the deployment of fully automated cars. In 15 crowdsourcing surveys conducted between June 2014 and January 2019, we obtained answers...
journal article 2019
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Cabrall, C.D.D. (author), Lu, Z. (author), Kyriakidis, M. (author), Manca, L. (author), Dijksterhuis, C. (author), Happee, R. (author), de Winter, J.C.F. (author)
A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road users, straight road segments, etc.) at...
journal article 2018
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Nordhoff, S. (author), de Winter, J.C.F. (author), Kyriakidis, M. (author), van Arem, B. (author), Happee, R. (author)
Shuttles that operate without an onboard driver are currently being developed and tested in various projects worldwide. However, there is a paucity of knowledge on the determinants of acceptance of driverless shuttles in large cross-national samples. In the present study, we surveyed 10,000 respondents on the acceptance of driverless vehicles...
journal article 2018
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Kyriakidis, M. (author), de Winter, J.C.F. (author), Stanton, N. (author), Bellet, T. (author), van Arem, B. (author), Brookhuis, K.A. (author), Martens, M.H. (author), Bengler, K. (author), Andersson, J. (author), Merat, N. (author), Reed, N. (author), Flament, M. (author), Hagenzieker, Marjan (author), Happee, R. (author)
Automated driving can fundamentally change road transportation and improve quality of life. However, at present, the role of humans in automated vehicles (AVs) is not clearly established. Interviews were conducted in April and May 2015 with 12 expert researchers in the field of human factors (HFs) of automated driving to identify...
journal article 2017
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Lu, Z. (author), Happee, R. (author), Cabrall, C.D.D. (author), Kyriakidis, M. (author), de Winter, J.C.F. (author)
The topic of transitions in automated driving is becoming important now that cars are automated to ever greater extents. This paper proposes a theoretical framework to support and align human factors research on transitions in automated driving. Driving states are defined based on the allocation of primary driving tasks (i.e., lateral control,...
journal article 2016
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Kyriakidis, M. (author), Happee, R. (author), de Winter, J.C.F. (author)
This study investigated user acceptance, concerns, and willingness to buy partially, highly, and fully automated vehicles. By means of a 63-question Internet-based survey, we collected 5000 responses from 109 countries (40 countries with at least 25 respondents). We determined cross-national differences, and assessed correlations with personal...
journal article 2015
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Bazilinskyy, P. (author), Kyriakidis, M. (author), de Winter, J.C.F. (author)
Fully automated driving can potentially provide enormous benefits to society. However, it has been unclear whether people will appreciate such far-reaching technology. This study investigated anonymous textual comments regarding fully automated driving, based on data extracted from three online surveys with 8,862 respondents from 112 countries....
conference paper 2015
Searched for: author%3A%22Kyriakidis%2C+M.%22
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