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Attributions of social interactions: Driving among self-driving vs. conventional vehicles

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  • Lee, Yi-Ching
  • Momen, Ali
  • LaFreniere, Jennifer

Abstract

Mixed traffic—roadway shared by automated (AV) and conventional vehicles—is anticipated to take place in the next few decades as the production and acceptance of automated vehicles increases. However, interactions between AVs and drivers in conventional vehicles are projected to be problematic. The current study aimed to examine the relationship among intentionality attributions, emotional reactions, and intended driver behaviors in response to hypothetical traffic scenarios when the actions were performed by human-drivers vs. self-driving cars. Three studies were conducted: Pilot Study 1: modifications of the Propensity for Angry Driving Scale (PADS), Pilot Study 2: verification of the instructions of the modified PADS using a college student sample, and Main Study: collection of ratings of intentionality, emotions, intended responses, trait aggression, and demographics upon reading human-driver and self-driving car PADS using a heterogeneous online sample. Intended responses were more severe in the self-driving car conditions, even though the self-driving car's actions were attributed as less intentional. Self-driving cars portrayed as having a heart and a mind led to similar behavioral responses but different affective ratings. Individuals who attributed the actions intentionally and rated their emotions more negatively had more aggressive intended responses. The results suggest that people perceive and interpret the capacities and responsibilities of the actors—human-driver and self-driving car—differently due to differential mind attributions. As technology in transportation matures, examining people's behaviors and intentions in mixed traffic can lead to better preparation for the future roads and maximize the safety benefits of automated vehicles.

Suggested Citation

  • Lee, Yi-Ching & Momen, Ali & LaFreniere, Jennifer, 2021. "Attributions of social interactions: Driving among self-driving vs. conventional vehicles," Technology in Society, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:teinso:v:66:y:2021:i:c:s0160791x21001068
    DOI: 10.1016/j.techsoc.2021.101631
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    References listed on IDEAS

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    1. Emily C. Anania & Stephen Rice & Scott R. Winter & Mattie N. Milner & Nathan W. Walters & Matthew Pierce, 2018. "Why People Are Not Willing to Let Their Children Ride in Driverless School Buses: A Gender and Nationality Comparison," Social Sciences, MDPI, vol. 7(3), pages 1-17, February.
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    Cited by:

    1. Mamak, Kamil & Glanc, Jadwiga, 2022. "Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation," Technology in Society, Elsevier, vol. 71(C).
    2. Li, Xia & You, Zhijian & Ma, Xinwei & Pang, Xiaomin & Min, Xuefeng & Cui, Hongjun, 2024. "Effect of autonomous vehicles on car-following behavior of human drivers: Analysis based on structural equation models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Lee, Dasom & Hess, David J. & Heldeweg, Michiel A., 2022. "Safety and privacy regulations for unmanned aerial vehicles: A multiple comparative analysis," Technology in Society, Elsevier, vol. 71(C).
    4. Penmetsa, Praveena & Okafor, Sunday & Adanu, Emmanuel & Hudnall, Matthew & Ramezani, Somayeh Bakhtiari & Holiday, Steven & Jones, Steven, 2023. "How is automated and self-driving vehicle technology presented in the news media?," Technology in Society, Elsevier, vol. 74(C).
    5. Cao, Jidi & Chen, Xin & Qiu, Rui & Hou, Shuhua, 2021. "Electric vehicle industry sustainable development with a stakeholder engagement system," Technology in Society, Elsevier, vol. 67(C).
    6. Li, Xia & Xiao, Yuewen & Zhao, Xiaodong & Ma, Xinwei & Wang, Xintong, 2023. "Modeling mixed traffic flows of human-driving vehicles and connected and autonomous vehicles considering human drivers’ cognitive characteristics and driving behavior interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    7. Webster, Craig & Ivanov, Stanislav, 2021. "Tourists’ perceptions of robots in passenger transport," Technology in Society, Elsevier, vol. 67(C).

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