Abstract
The spread of automated vehicles (AVs) is expected to disrupt our mobility behavior. Currently, a male bias is prevalent in the technology industry in general, and in the automotive industry in particular, mainly focusing on white men. This leads to an under-representation of groups of people with other social, physiological, and psychological characteristics. The advent of automated driving (AD) should be taken as an opportunity to mitigate this bias and consider a diverse variety of people within the development process. We conducted a qualitative, exploratory study to investigate how shared automated vehicles (SAVs) should be designed from a pluralistic perspective considering a holistic viewpoint on the whole passenger journey by including booking, pick-up, and drop-off points. Both, men and women, emphasized the importance of SAVs being flexible and clean, whereas security issues were mentioned exclusively by our female participants. While proposing different potential solutions to mitigate security matters, we discuss them through the lens of the feminist HCI framework.
Highlights
AI-driven technology, with potential fields of application such as healthcare, finance, or law, is expected to penetrate our society in the future while making our lives easier.Automated vehicles (AVs) are another example and promise to increase drivers’ safety and comfort, while improving traffic flow and reducing air pollution [1]
During the enactment part our participants played different daily travel routes such as going from home to work, going from work to pick up the kids from school, traveling to see acquaintances and friends, or going from home to an excursion on a weekend
In this work we have explored how shared mobility solutions in the context of AVs should be designed from a gender-inclusive perspective
Summary
AI-driven technology, with potential fields of application such as healthcare, finance, or law, is expected to penetrate our society in the future while making our lives easier.Automated vehicles (AVs) are another example and promise to increase drivers’ safety and comfort, while improving traffic flow and reducing air pollution [1]. An emerging problem with such systems, or to be precise, digital products in general, is that they are suspected to carry a white, male bias in them [2,3] Such biases have been demonstrated in several real-life examples, such as face recognition software and soap dispensers struggling to detect darker skin tones, or AI-supported recruiting software sorting out female applicants [2,4]. Given that the automotive industry is a highly male-dominated field, it is not surprising that the needs of other target groups are not always considered to the necessary extent This is manifested in profane examples, such as the female crash test dummy that lies on the 5th percentile of the female body [6], which increases women’s risk for severe injuries in traffic accidents [6,7]
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