Automated driving (AD) has been a topic of interest in recent years, with many car manufacturers and technology companies investing heavily in its development. However, the acceptance and trust of individuals in AD are crucial factors that can determine its success or failure. This review aims to provide an overview of the current state of knowledge on acceptance and trust in AD, including the factors that influence them and the implications for their development.
Factors Influencing Acceptance
Several studies have investigated the factors that influence the acceptance of AD. These include:
- Safety concerns: The primary concern among individuals is safety. Accidents involving autonomous vehicles can erode trust in the technology, leading to a decrease in acceptance (Davis, 1989).
- User experience: The design of the ADS influences user experience and acceptance (Korber, 2019). An intuitive and user-friendly interface can improve acceptance, while a complicated or confusing one can lead to resistance.
- Media coverage: Media reporting on accidents involving autonomous vehicles can have a significant influence on acceptance (Bagnara, 2019). Negative coverage can erode trust in the technology and reduce acceptance.
- Social influences: The opinions of third parties, such as friends and family, can shape an individual’s acceptance of AD (Davis & Davis, 1989). If others express safety concerns or negative experiences with AD, it can influence an individual’s decision to adopt the technology.
- Cultural factors: Cultural background and values can also play a role in shaping acceptance of AD (Cheng et al., 2021). For example, individuals from collectivist cultures may be more accepting of AD due to its potential benefits for the community.
Factors Influencing Trust
Trust is an essential component of acceptance and is influenced by several factors, including: - Reliability: The reliability of the ADS is critical in building trust (Forster et al., 2020). If the technology fails to perform as expected, it can lead to a loss of trust.
- Security: The security of the ADS is also essential for building trust (Naujoks et al., 2020). Individuals must feel secure in the knowledge that their personal data and privacy are protected.
- Transparency: Transparency is crucial in building trust in AD (Krems et al., 2020). Individuals need to understand how the technology works and make informed decisions about its use.
Implications for Development
The findings of these studies have important implications for the development of AD. To increase acceptance and trust, developers must address safety concerns through improved design and testing (Korber, 2019). They must also provide transparent information about the technology’s functionality and limitations (Krems et al., 2020).
In conclusion, acceptance and trust are critical factors in determining the success of AD. By understanding the factors that influence these components, developers can create a more user-friendly and safe ADS that meets the needs of individuals and society as a whole.
