Consumer demand for fully automated driving technology

Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature

“…Perceived benefits of AVs: Some relative advantages of AVs are expected to be independent mobility for non-drivers (i.e., transport disadvantaged groups, disabled people, elderly people), increased productivity while travelling caused by multitasking, shorter travel time, less parking problems due to using on-demand services, lower insurance premiums, improved safety, greater environmental friendliness, relief from the stress of driving tasks, reduced vehicle ownership, enhanced fuel economy, the ability to drive after the use of alcohol or medication, congestion reduction, and the capability to send untenanted AVs to perform errands [8,19,40,69,84,93,98,104,112,118,141,[152][153][154][155][156][157].…”

“…Perceived risks of AVs: Expected disadvantages were more pronounced among the public regarding cybersecurity issues, safety issues, the learning curve to use AVs, ethical issues on personal privacy and data sharing (location or destination tracking), equipment or system failure, interactions with conventional vehicles and the other modes of transport, affordability of AVs, lack of control in a crash situation, and potential health issues due to modified lifestyle needs [8,35,80,91,92,109,110,[123][124][125]129,133,139,144,150,151,[154][155][156][157][158][159][160][161][162][163][164][165][166]. As for Sener and Zmud [85], most of the ride-hailing service users who were reluctant to use AVs, could not perceive them to be safer vehicles in all circumstances, so only preferred to adopt the ride-hailing service option of AVs.…”

“…This is because they perceived there to be greater comfort in a "human override" mode due to the idea of better performance of humans in impulsive situations. Conversely, individuals who preferred private ownership of AVs believed that they could be safer than conventional vehicles [167][168][169][170].…”

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

“…Bansal and Kockelman 2018;Bloom et al 2017;Brinkley et al 2017; Fraedrich & Lenz 2016; Gilbert & Daily 2018; Greaves et al 2018;Jardim et al 2013;Lavieri et al 2017;Lilijamo et al 2018; Medina and Jenkins 2017; Menon 2015; Pakusch & Bossauer 2017; Pettigrew et al 2018, 2019; Portouli et al 2017; Regan et al 2017; Sanaullah et al 2016; Sauders & Charness 2016; Shabanpour et al 2017, 2018; Shin & Shunsuke 2017; Ulahannan et al 2018; Wang and Ankar 2019; Woisetschläger 2016; Woldemanuel and Nguyen 2018). Benefits encompass improvements in productivity due to the engagement in non-driving related tasks, benefits for the environment (e.g., reduction of fuel consumption, emissions and traffic congestion, lower vehicle ownership), increased mobility independence and freedom for the physically-impaired and elderly, no need to spend resources on learning how to drive, lower insurance rates, lower repair costs (in case of less accidents), and easier and quicker and less expensive parking(Adnan et al 2018;Bazilinskyy et al 2015;Bennett et al 2019;Dai & Howard 2013;Daziano et al 2017;Hulse et al 2018;Kelkel 2015;Lustgarten & Le Vine 2018;Medina and Jenkins 2017;Portouli et al 2017;Sauders & Charness 2016;Shin & Shunsuke 2017;Tennant et al 2016;Yap et al 2016).…”

Improving Efficiency of Customer Requirements Classification on Autonomous Vehicle by Natural Language Processing

“…Previous paper more focus on single areacustomer perception, did not separate them in to detailed classification. In order to get comprehensive requirements on autonomous vehicle as input to development process, authors collect customer requirements in different areas: Customer perception, function, environment, energy consumption, costs, privacy, security, safety, society, legal and ethical [7]- [11]. The result will show in following sections.…”