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The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars

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  • Martina Raue
  • Lisa A. D'Ambrosio
  • Carley Ward
  • Chaiwoo Lee
  • Claire Jacquillat
  • Joseph F. Coughlin

Abstract

Self‐driving vehicles will affect the future of transportation, but factors that underlie perception and acceptance of self‐driving cars are yet unclear. Research on feelings as information and the affect heuristic has suggested that feelings are an important source of information, especially in situations of complexity and uncertainty. In this study (N = 1,484), we investigated how feelings related to traditional driving affect risk perception, benefit perception, and trust related to self‐driving cars as well as people's acceptance of the technology. Due to limited experiences with and knowledge of self‐driving cars, we expected that feelings related to a similar experience, namely, driving regular cars, would influence judgments of self‐driving cars. Our results support this assumption. While positive feelings of enjoyment predicted higher benefit perception and trust, negative affect predicted higher risk and higher benefit perception of self‐driving cars. Feelings of control were inversely related to risk and benefit perception, which is in line with research on the affect heuristic. Furthermore, negative affect was an important source of information for judgments of use and acceptance. Interest in using a self‐driving car was also predicted by lower risk perception, higher benefit perception, and higher levels of trust in the technology. Although people's individual experiences with advanced vehicle technologies and knowledge were associated with perceptions and acceptance, many simply have never been exposed to the technology and know little about it. In the absence of this experience or knowledge, all that is left is the knowledge, experience, and feelings they have related to regular driving.

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  • Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee & Claire Jacquillat & Joseph F. Coughlin, 2019. "The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 358-374, February.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:2:p:358-374
    DOI: 10.1111/risa.13267
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    1. Wang, Fei & Zhang, Zhentai & Lin, Shoufu, 2023. "Purchase intention of Autonomous vehicles and industrial Policies: Evidence from a national survey in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    2. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Woo, JongRoul & Shin, Jungwoo & Kim, Hongbum & Moon, HyungBin, 2022. "Which consumers are willing to pay for smart car healthcare services? A discrete choice experiment approach," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    4. Joseph F. Coughlin & Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee, 2019. "Special Series: Social Science of Automated Driving," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 293-294, February.
    5. BERTRANDIAS, Laurent & LOWE, Ben & SADIK-ROZSNYAI, Orsolya & CARRICANO, Manu, 2021. "Delegating decision-making to autonomous products: A value model emphasizing the role of well-being," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Jinping Guan & Shuang Zhang & Lisa A. D’Ambrosio & Kai Zhang & Joseph F. Coughlin, 2021. "Potential Impacts of Autonomous Vehicles on Urban Sprawl: A Comparison of Chinese and US Car-Oriented Adults," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    7. Michael Siegrist & Joseph Árvai, 2020. "Risk Perception: Reflections on 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2191-2206, November.

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