WIP - Supporting road safety by analyzing social representations of automated vehicles

被引:0
|
作者
Mouton, Oriane [1 ,2 ]
Cegarra, Julien [1 ,2 ]
Navarro, Jordan [3 ]
机构
[1] INU Champoll, Lab Sci Cognit, Technol, Ergon,SCoTE EA 7420, Albi, France
[2] Univ Toulouse, Toulouse, France
[3] Univ Lyon 2, Lab Etud Mecanismes Cognitifs, EA 3082, Lyon, France
来源
PROCEEDINGS OF EUROPEAN CONFERENCE ON COGNITIVE ERGONOMICS 2024, ECCE 2024 | 2024年
关键词
Automated Vehicle; Social Representations; Road Safety; Prospective Ergonomics; ERGONOMICS;
D O I
10.1145/3673805.3673853
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Automated Vehicles (AVs) have the capability to manage all driving tasks, ranging from navigation decisions to vehicle control under various conditions. They are central to numerous discussions and are perceived as key factors in enhancing traffic flow, safety, and mobility. However, drivers of Conventional Vehicles (CVs) may adjust their behaviors in response to the introduction of AVs, such as by reducing their safety margins [15]. This study aims to prospectively explore the reasons behind potential behavioral changes in CV drivers using the theoretical framework of Social Representations (SR). One of the functions of SR is to guide behaviors and practices by providing meaning to our actions [1]. Additionally, SRs have been utilized to foster greater engagement [2]. This paper presents preliminary results derived from two social psychology methods: free and hierarchical associations, and a Test of Context Independence (TCI) to identify the central core of SR. The findings raise questions about the similarities between the SRs associated with AVs and CVs. Although this research is ongoing and will incorporate additional complementary methods, the initial results already offer valuable insights for adapting road safety measures to make them more specific and engaging.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] LONGER COMBINATION VEHICLES AND ROAD SAFETY
    Grislis, Aivis
    TRANSPORT, 2010, 25 (03) : 336 - 343
  • [22] Road Safety Analysis of Autonomous Vehicles
    Szűcs H.
    Hézer J.
    Periodica Polytechnica Transportation Engineering, 2022, 50 (04): : 426 - 434
  • [23] Improving Road Traffic Safety and Performance-Barriers and Directions Towards Cooperative Automated Vehicles
    Fornaro, Gianfilippo
    Torngren, Martin
    COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2023 WORKSHOPS, 2023, 14182 : 283 - 294
  • [24] Regulations for on-road testing of connected and automated vehicles: Assessing the potential for global safety harmonization
    Lee, Dasom
    Hess, David J.
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 136 (136) : 85 - 98
  • [25] Automated driving and autonomous functions on road vehicles
    Gordon, T. J.
    Lidberg, M.
    VEHICLE SYSTEM DYNAMICS, 2015, 53 (07) : 958 - 994
  • [26] The Impact of Automated Vehicles on Road and Intersection Capacity
    Yu, Quan
    Wu, Longsheng
    Zhang, Haonan
    Lei, Linlong
    Wang, Li
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [27] Conditions for a safe state of automated road vehicles
    Reschka, Andreas
    Maurer, Markus
    IT-INFORMATION TECHNOLOGY, 2015, 57 (04): : 215 - 222
  • [28] Analyzing and supporting mental representations and strategies in solving Bayesian problems
    Sirock, Julia
    Vogel, Markus
    Seufert, Tina
    FRONTIERS IN PSYCHOLOGY, 2023, 14
  • [29] Increasing Safety of Vulnerable Road Users in Scenarios With Occlusion: A Collaborative Approach for Smart Infrastructures and Automated Vehicles
    de Borba, Thiago
    Vaculin, Ondrej
    Marzbani, Hormoz
    Jazar, Reza Nakhaie
    IEEE ACCESS, 2025, 13 : 8851 - 8885
  • [30] A multi-road user evaluation of the acceptance of connected and automated vehicles through the lenses of safety and justice
    Martinez-Buelvas, Laura
    Rakotonirainy, Andry
    Grant-Smith, Deanna
    Oviedo-Trespalacios, Oscar
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 107 : 521 - 536