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      Making the Right Turn: The Association Between Political Conservatism Versus Liberalism and Attitudes Toward Automated Vehicles Over Time

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          Abstract

          Adoption of automated vehicles (AVs) depends on political will. This work investigates how political ideology relates to attitudes toward AVs and attitude updating with new information, how knowledge plays a role, and how these processes vary across time depending on cultural context in the United States. In 2018 (Study 1), Conservatives’ initial attitudes toward AVs were less positive than liberals’ (i.e., less liking, trusting, and higher ratings of danger), but there was no difference in perceptions of understanding AVs. After reading the benefits of AVs, conservatives, versus liberals, demonstrated larger, positive changes in their attitudes (i.e., trusting increased and danger decreased), but also a decrease in understanding. Notably, liberals knew more about AVs than did conservatives. In 2021, when liking of Elon Musk, and hence AVs, may be polarized, we see the opposite pattern (Study 2): conservatives like Elon Musk, know much about, and report relatively positive attitudes and intentions to use and purchase AVs, compared to liberals. This work suggests that partisans’ attitudes toward novel technological entities such as AVs are shaped by a complex confluence of cultural contributors, including epistemic and social ones.

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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                2022
                : 3
                : 1
                Affiliations
                [1]Department of Psychology, Wake Forest University
                [2]Department of Psychology, University of Utah
                [3]Department of Psychology, Boston College
                Author notes
                Action Editor: Danielle S. McNamara was the action editor for this article.
                Disclosures: There are no perceived or potential conflict of interests.
                Prior Data Use: The data in this article have not been used prior or published elsewhere.
                Data Availability: All authors confirm that the data supporting the findings of this study are available within the article and Supplementary Materials.
                [*] Heather M. Maranges, Department of Psychology, Wake Forest University, Greene Hall, Winston-Salem, NC 27109, United States marangeh@wfu.edu
                Author information
                https://orcid.org/0000-0003-1746-1834
                Article
                2022-36082-001
                10.1037/tmb0000065
                fe04e165-32b1-4fcb-a664-07adcdaddaeb
                © 2022 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                political ideology,attitude change,Elon Musk,attitudes,automated vehicles

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