TY - GEN
T1 - An international crowdsourcing study into people's statements on fully automated driving
AU - Bazilinskyy, Pavlo
AU - Kyriakidis, Miltos
AU - de Winter, Joost
PY - 2015
Y1 - 2015
N2 - 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. Initial filtering of comments with fewer than 15 characters resulted in 1,952 comments. The sample consisted primarily of males (74%) and had a mean age of 32.6 years. Next, we launched a crowdsourcing job and asked 69 workers to assign each of the 1,952 comments to at least one of 12 predefined categories, which included positive and negative attitude to automated driving, enjoyment in manual driving, concerns about trust, reliability of software, and readiness of road infrastructure. 46% of the comments were classified into the category ‘no meaningful information about automated driving’, leaving 792 comments for further analysis. 39% of the comments were classified as ‘positive attitude towards automated driving’ and 23% were classified as ‘negative attitude towards automated driving’. In conclusion, the public opinion appears to be split, with a substantial number of respondents being positive and a significant number of respondents being negative towards fully automated driving.
AB - 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. Initial filtering of comments with fewer than 15 characters resulted in 1,952 comments. The sample consisted primarily of males (74%) and had a mean age of 32.6 years. Next, we launched a crowdsourcing job and asked 69 workers to assign each of the 1,952 comments to at least one of 12 predefined categories, which included positive and negative attitude to automated driving, enjoyment in manual driving, concerns about trust, reliability of software, and readiness of road infrastructure. 46% of the comments were classified into the category ‘no meaningful information about automated driving’, leaving 792 comments for further analysis. 39% of the comments were classified as ‘positive attitude towards automated driving’ and 23% were classified as ‘negative attitude towards automated driving’. In conclusion, the public opinion appears to be split, with a substantial number of respondents being positive and a significant number of respondents being negative towards fully automated driving.
KW - Survey
KW - Questionnaire
KW - Driverless car
KW - Automated driving
UR - http://resolver.tudelft.nl/uuid:ad97a58b-17e0-40a6-bcfc-d8c2ad1291ad
U2 - 10.1016/j.promfg.2015.07.540
DO - 10.1016/j.promfg.2015.07.540
M3 - Conference contribution
VL - 3
T3 - Procedia Manufacturing
SP - 2534
EP - 2542
BT - Procedia Manufacturing - 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences
A2 - Ahram, Tareq
A2 - Karwowski, Waldemar
A2 - Schmorrow, Dylan
PB - Elsevier
T2 - The 6th international conference on applied human factors and ergonomics (AHFE 2015) and the affiliated conferences, AHFE 2015, Las Vegas, United States of America
Y2 - 26 July 2015 through 30 July 2015
ER -