Abusafia Alaa H A, Soro Alessandro, Schroeter Ronald
Faculty of Science - Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Faculty of Health - Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
PLoS One. 2025 Sep 10;20(9):e0331402. doi: 10.1371/journal.pone.0331402. eCollection 2025.
Automated vehicles (AVs) have the potential to enhance transportation for all, but current research suggests that women remain less engaged and more hesitant toward their adoption. This scoping review systematically analyses 34 peer-reviewed studies published between 2016 and 2025 to assess how women's experiences, needs, and concerns are represented in AV research. Using thematic analysis, we identify key facilitators and barriers to AV adoption and map them onto a Socio-Ecological Model spanning five levels: individual, interpersonal, institutional, community, and policy. Our findings reveal a critical gap: while gender is frequently recorded as a demographic variable, women are rarely centred as primary users or co-creators in AV design and evaluation. Most studies rely on quantitative, mixed-gender approaches, with limited use of qualitative or participatory methods that could surface the nuanced realities of women's mobility. As a result, vital concerns-such as safety, emotional comfort, caregiving roles, and design exclusion-are often overlooked in AV research. To address this, we introduce the WISE-AV Framework (Women-Informed Socio-Ecological Framework), which organises the multi-level influences shaping women's engagement with AVs. This framework extends the Socio-Ecological Model with a gender lens and integrates principles from feminist HCI to emphasise transparency, participation, and embodied experience. Our study offers both theoretical and practical contributions: it provides a roadmap for researchers, designers, and policymakers to create more inclusive AV systems, and it delivers actionable recommendations to ensure that AVs are not just technologically advanced-but socially equitable. We argue that AVs can only fulfil their promise of safer, smarter mobility when they are designed not for a generic "user," but with the diverse realities of women in mind.
自动驾驶汽车(AVs)有潜力改善所有人的交通出行,但目前的研究表明,女性对其采用的参与度较低且更为犹豫。本范围综述系统分析了2016年至2025年间发表的34项同行评审研究,以评估女性的经历、需求和担忧在自动驾驶汽车研究中的体现方式。通过主题分析,我们确定了采用自动驾驶汽车的关键促进因素和障碍,并将它们映射到一个涵盖五个层面的社会生态模型上:个人、人际、机构、社区和政策。我们的研究结果揭示了一个关键差距:虽然性别经常被记录为一个人口统计学变量,但在自动驾驶汽车的设计和评估中,女性很少被作为主要用户或共同创造者置于中心位置。大多数研究依赖于定量的、混合性别的方法,定性或参与式方法的使用有限,而这些方法本可以揭示女性出行的细微差别。因此,诸如安全、情感舒适度、照顾角色和设计排斥等重要问题在自动驾驶汽车研究中常常被忽视。为了解决这一问题,我们引入了WISE-AV框架(女性知情社会生态框架),该框架梳理了影响女性与自动驾驶汽车互动的多层次因素。这个框架通过性别视角扩展了社会生态模型,并整合了女性主义人机交互的原则,以强调透明度、参与度和身体体验。我们的研究在理论和实践方面都有贡献:它为研究人员、设计师和政策制定者创建更具包容性的自动驾驶汽车系统提供了路线图,并提供了可操作的建议,以确保自动驾驶汽车不仅在技术上先进,而且在社会上公平。我们认为,只有在设计自动驾驶汽车时考虑到女性的多样化现实,而不是针对一般的“用户”,它们才能实现更安全、更智能出行的承诺。