TY - JOUR
T1 - The Acceptance of Driverless Cars
T2 - The Roles of Perceived Outcomes and Technology Usefulness
AU - Mesch, Gustavo S.
AU - Dodel, Matias
N1 - Publisher Copyright:
© 2022 SAGE Publications.
PY - 2023/12
Y1 - 2023/12
N2 - The accelerating development of autonomous vehicles is expected to have important effects on society such as reducing the number of traffic accidents, preventing the disabilities and deaths attributed to car accidents, and reducing pollution. However, their adoption depends on the willingness of the population to accept this innovation and incorporate it in their everyday activities. This study investigated the association between socio-demographic factors, political ideology, and attitudes toward technology and its perceived potential impact on society on support for driverless cars. We conducted a secondary analysis of a large sample of employees in the United States (n = 2,470). Based on conceptual frameworks relevant to the study of technology adoption such as the self-interest hypothesis, the usefulness of the technology, ideological orientation, and socio-demographic gaps in attitudes toward technology, our results indicate that perceived social outcomes of driverless cars are strongly associated with their support. Age and gender are negatively associated with support for autonomous vehicles. In contrast, perceived positive outcomes of the introduction of technology in the workplace are positively associated with them. Individuals with a consistently conservative ideology are also less likely to be supporters of autonomous vehicles. Our findings indicate that the centrality of the expected societal impact of autonomous vehicles implies the need to provide the public with accurate facts about their expected effect. Doing so is critical to increasing the public’s willingness to adopt the technology and support its production. People must also be reassured that regulations and product designs will be created to ensure their safety.
AB - The accelerating development of autonomous vehicles is expected to have important effects on society such as reducing the number of traffic accidents, preventing the disabilities and deaths attributed to car accidents, and reducing pollution. However, their adoption depends on the willingness of the population to accept this innovation and incorporate it in their everyday activities. This study investigated the association between socio-demographic factors, political ideology, and attitudes toward technology and its perceived potential impact on society on support for driverless cars. We conducted a secondary analysis of a large sample of employees in the United States (n = 2,470). Based on conceptual frameworks relevant to the study of technology adoption such as the self-interest hypothesis, the usefulness of the technology, ideological orientation, and socio-demographic gaps in attitudes toward technology, our results indicate that perceived social outcomes of driverless cars are strongly associated with their support. Age and gender are negatively associated with support for autonomous vehicles. In contrast, perceived positive outcomes of the introduction of technology in the workplace are positively associated with them. Individuals with a consistently conservative ideology are also less likely to be supporters of autonomous vehicles. Our findings indicate that the centrality of the expected societal impact of autonomous vehicles implies the need to provide the public with accurate facts about their expected effect. Doing so is critical to increasing the public’s willingness to adopt the technology and support its production. People must also be reassured that regulations and product designs will be created to ensure their safety.
KW - autonomous vehicles
KW - familiarity hypothesis
KW - perceived usefulness
KW - technology adoption
UR - http://www.scopus.com/inward/record.url?scp=85139637752&partnerID=8YFLogxK
U2 - 10.1177/00027642221127250
DO - 10.1177/00027642221127250
M3 - Artículo
AN - SCOPUS:85139637752
SN - 0002-7642
VL - 67
SP - 1736
EP - 1754
JO - American Behavioral Scientist
JF - American Behavioral Scientist
IS - 14
ER -