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      Looking for Age Differences in Self-Driving Vehicles: Examining the Effects of Automation Reliability, Driving Risk, and Physical Impairment on Trust

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          Abstract

          Purpose

          Self-driving cars are an extremely high level of autonomous technology and represent a promising technology that may help older adults safely maintain independence. However, human behavior with automation is complex and not straightforward ( Parasuraman and Riley, 1997; Parasuraman, 2000; Rovira et al., 2007; Parasuraman and Wickens, 2008; Parasuraman and Manzey, 2010; Parasuraman et al., 2012). In addition, because no fully self-driving vehicles are yet available to the public, most research has been limited to subjective survey-based assessments that depend on the respondents’ limited knowledge based on second-hand reports and do not reflect the complex situational and dispositional factors known to affect trust and technology adoption.

          Methods

          To address these issues, the current study examined the specific factors that affect younger and older adults’ trust in self-driving vehicles.

          Results

          The results showed that trust in self-driving vehicles depended on multiple interacting variables, such as the age of the respondent, risk during travel, impairment level of the hypothesized driver, and whether the self-driving car was reliable.

          Conclusion

          The primary contribution of this work is that, contrary to existing opinion surveys which suggest broad distrust in self-driving cars, the ratings of trust in self-driving cars varied with situational characteristics (reliability, driver impairment, risk level). Specifically, individuals reported less trust in the self-driving car when there was a failure with the car technology; and more trust in the technology in a low risk driving situation with an unimpaired driver when the automation was unreliable.

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          Most cited references61

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          GPOWER: A general power analysis program

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            Humans and Automation: Use, Misuse, Disuse, Abuse

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              Older Adults Talk Technology: Technology Usage and Attitudes.

              Older adults (n = 113) participated in focus groups discussing their use of and attitudes about technology in the context of their home, work, and healthcare. Participants reported using a wide variety of technology items, particularly in their homes. Positive attitudes (i.e., likes) outnumbered negative attitudes (i.e., dislikes), suggesting that older adults perceive the benefits of technology use to outweigh the costs of such use. Positive attitudes were most frequently related to how the technology supported activities, enhanced convenience, and contained useful features. Negative attitudes were most frequently associated with technology creating inconveniences, unhelpful features, as well as security and reliability concerns. Given that older adults reported more positive than negative attitudes about the technologies they use, these results contradict stereotypes that older adults are afraid or unwilling to use technology. These findings also highlight the importance of perceived benefits of use and ease of use for models of technology acceptance. Emphasizing the benefits of technology in education and training programs may increase future technology adoption.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                26 April 2019
                2019
                : 10
                : 800
                Affiliations
                [1] 1Department of Behavioral Sciences and Leadership, US Military Academy , West Point, NY, United States
                [2] 2Department of Psychology, North Carolina State University , Raleigh, NC, United States
                [3] 3Department of Psychology, Clemson University , Clemson, SC, United States
                Author notes

                Edited by: Tamera Schneider, Wright State University, United States

                Reviewed by: Debaleena Chattopadhyay, University of Illinois at Chicago, United States; Massimo Mecella, Sapienza University of Rome, Italy

                *Correspondence: Ericka Rovira, ericka.rovira@ 123456westpoint.edu

                This article was submitted to Human-Media Interaction, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2019.00800
                6498898
                2a8bc744-da91-49b1-b6f1-f7719106b3cf
                Copyright © 2019 Rovira, McLaughlin, Pak and High.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 August 2018
                : 25 March 2019
                Page count
                Figures: 5, Tables: 2, Equations: 4, References: 84, Pages: 13, Words: 0
                Funding
                Funded by: Minerva Foundation 10.13039/501100001658
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                self-driving vehicles,autonomous cars,older adults,cognitive aging,automation reliability,individual differences,trust,technology adoption

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