Perception of Technology and Operations Sample Clauses

Perception of Technology and Operations. Based on Xxxxxx and Xxx (2014), 46% of respondents believe that self-driving cars should operate with normal traffic, 38% agree with separate lanes, and 11% had no opinion. To build infrastructure for self-driving cars, 43% of the participants were neutral, 35% agreed, and 22% opposed the option. Xxxxxxxxx and Xxxxx (2014) examined public opinion regarding self-driving- vehicle technology. 70.9% of respondents had previously heard of autonomous or self-driving vehicles, and 56.3% had a positive initial opinion of the technology and had high expectations about the benefits of the technology. Xxxxxx et al. (2016) found that as the public learns more about AVs and more technological experiences start spilling into the public domain, the perceptions and potential behavioral responses are apt to change. For example, a large proportion (more than 50%) of individuals who do not want to pay anything for advanced automation technologies may change their perspectives as the technology becomes proven and they see their neighbors, friends, and coworkers adopt AVs, with great success. Alternatively, a well-publicized catastrophe (such as a multi-vehicle, multi-fatality cyber-attack) could set adoption rates back years. Xxxxxx and Xxxxxxxxx (2017) revealed that 47% of respondents have heard about AVs and only 7% of respondents were apprehensive about learning to use AVs. Table 6 presents a summary of findings focusing on the perception of technology and operations. Table 6 Summary of Literature on Perception of Technology and Operations Findings Detail Respondent Reference Perception of Operation AVs operate with normal traffic 46% Xxxxxx and Dai (2014) AVs operate in separate lanes 38% New infrastructure needed, Agreed 35% New infrastructure needed, Opposed 22% Perception of Technology Heard of AVs 70.9%, 53%, 47% Xxxxxxxxx and Xxxxx (2014), Xxxxxx et al. (2016), Xxxxxx et al. (2017) Apprehensive about learning to use AVs The positive initial opinion of the technology 7% Bansal et al. (2017) 56.3% Xxxxxxxxx and Xxxxx (2014) Lack of trust in technology 41% Zmud et al. (2016) As the public learns more, the perceptions of technology change The decision of not adopting AVs changes as technology becomes proven A well-publicized catastrophe will NA Bansal et al. (2016) 50% NA reduce adoption