Self-Driving & Dai, D. (2013, April 12). Public Perceptions

Self-Driving Cars or Autonomous Vehicles being
a relatively recent phenomenon, there has been quite a lot of research that has
focused on mostly examining the technical aspects of autonomous vehicles and
the impact it may have on reducing the problems caused by the exponential
increase in usage of regular passenger cars in the past three decades. However,
little or no research as such exists on the potential behavioral shifts and the
underlying motivations to use these self-driving cars. These below mentioned studies
focused on getting common man opinions to determine significant factors that
influence the decision to purchase and use self-driving cars.

 

1. Howard, D., & Dai, D. (2013, April 12).

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Public Perceptions of Self-Driving Cars: 1 The Case of Berkeley, California.

University of California, Berkeley, Department of City and Regional Planning.

Berkeley: University of California, Berkeley.

In this paper, I wish to examine a few out of
the several obstacles towards the adoption of Autonomous vehicles that have
been identified in the literature review. In a report by (Howard & Dai, 2013) the author mentions
that “Public’s attitude toward self-driving
cars become increasingly important as the public shapes the demand and market
for the cars, the policies that govern them, and future investments in
infrastructure.” Daniel Howard and Danielle Dai have put together a study of
the perceptions of self-driving cars in the city of Berkeley, California.

They investigated public attitudes towards using
the 107 early adopters of self-driving cars. Through their study they tried to
find out what actually attracted these people to adopt an advanced technology
like this into their daily lives. This analysis was particularly good in
understanding what the participants found most attractive and what concerns
they had about prior to using this technology. This particular study was chosen
to be referenced so that we could understand what participants who adopted this
technology experienced early on. The report also delves into some root
behavioral aspects that helped the consumers in Berkeley, California easily
adopt this technology like demographics, existing travel behavior, and
relationship to cars and technology. Companies manufacturing these cars will
probably need to reassess their marketing strategies based on the analysis of
these results since the self-driving car will be a major contributor to the top
and bottom line of these automakers in a decade or so.

 

2. Miltos Kyriakidis, R. H.

(2015, July 18). Public opinion on automated driving:
Results of an international questionnaire among 5,000 respondents. Retrieved from SSRN
Library: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2506579

I plan to also take references of a user study
by (Miltos Kyriakidis, 2015)in his research paper
that investigated user acceptance, worries, and willingness to buy partially,
highly, and fully automated vehicles. The report by (Miltos Kyriakidis, 2015) is particularly
useful in understanding the correlation between the factors that potentially
are considered by users while buying a car that has autonomous driving
features. This report ties in well with the report by (Howard & Dai, 2013) because they both
explore the factors that influence purchasing decisions and what was
experienced by users who bravely adopted this new ground-breaking technology
early-on using the methods of survey and interviews. This also ties in well
with what I wish to enlist in my paper about the top few concerns that
consumers across the globe could have and variables that possibly influence and
worry consumers from buying these vehicles with autonomous driving capabilities.