<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>PUBLIC OPINION REGARDING AUTONOMOUS VEHICLE PRIVACY AND SECURITY</dc:title><dc:creator>Berman, Danielle Hope</dc:creator><dc:subject>Autonomous Vehicles</dc:subject><dc:subject>privacy</dc:subject><dc:subject>public opinion</dc:subject><dc:subject>cybersecurity</dc:subject><dc:subject>survey</dc:subject><dc:coverage>Civil Engineering</dc:coverage><dc:relation>B S</dc:relation><dc:description>The  purpose  of  this  thesis  was  to  investigate  privacy  concerns  related  to  autonomous vehicles  with a focus on people’s level of comfort with autonomous vehicles collectingdifferent types of information and sharing that information with different entities.A survey of  154  United  States  residents  was  conducted  through  Amazon's  Mechanical  Turk crowdsourcing survey tool to probe opinion regarding these issues and model trends within the sample.  The  findings  of  this  study  indicate  that  there  is  concern  over  information privacy  in  autonomous  vehicles  and  that  people  would  be  hesitant  about  purchasing  a vehicle that used their personal information in certain ways.  Study participants showed the most  comfort  sharing  non-personally  identifying  information  and  sharing  locational information,but the least comfort with sharing personally identifying information.  People were  the  least  willing  to  share  information  with  marketers  and  most  willing  to  share information  in  emergency  situations.    Respondents  also  indicated that  they  would  like control over their data in terms of being able to remotely erase sensitive information and they are concerned about security of their information.  To attempt to alleviate concerns and  address  privacy  issues,  a  series  of  recommendations  for  education  efforts  and  data collection techniques wereproposedfor automakers and policymakers.</dc:description><dc:contributor>Martin Pietrucha, Thesis Supervisor</dc:contributor><dc:contributor>Eric Todd Donnell, Thesis Honors Advisor</dc:contributor><dc:rights>open_access</dc:rights><dc:date>2018-03-29T03:18:32Z</dc:date><dc:identifier>https://honors.libraries.psu.edu/catalog/5071dvb5358</dc:identifier></oai_dc:dc>