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Risk-Taking Driving Behavior in Interacting With an Autonomous Vehicle at Two-Way Stop-Controlled Intersections

  • Qianshan Jiang
  • , Jaeyoung Lee*
  • , Farrukh Baig
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

During the initial stages of autonomous vehicles (AVs), they will coexist and interact with human-driven vehicles (HVs). There is a research gap in exploring AVs’ impact on human drivers’ risk-taking driving behaviors during such interactions. A questionnaire survey was conducted among 676 drivers to gain insight into this impact. Respondents were asked to complete the questionnaires after understanding the scenarios of interacting between HVs and AVs at two-way stop-controlled intersections. The results demonstrate that human drivers have higher risky driving intentions and perceive lesser social pressure and safety risks when interacting with AVs compared to HVs interactions. Attitudes are the most important factor in explaining risk-taking driving intentions. Furthermore, intentions are directly influenced by perceived behavioral control when interacting with AVs. These findings indicate that human drivers may engage in risky behaviors when interacting with AVs.

Original languageEnglish
Pages (from-to)2973-2983
Number of pages11
JournalInternational Journal of Human-Computer Interaction
Volume41
Issue number5
DOIs
StatePublished - 2025

Bibliographical note

Publisher Copyright:
© 2024 Taylor & Francis Group, LLC.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Autonomous vehicles
  • risk-taking driving behavior
  • theory of planned behavior
  • two-way stop-controlled intersections

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

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