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ANALYSIS OF DRIVING BEHAVIORS AND RELEVANT DRIVING PREFERENCES REGARDING SELF-DRIVING CARS This thesis explores the cross-cultural demands from self-driving cars in regards to their trust, safety, and driving styles. Through the use of international survey data we establish several AI trust and behavior metrics that can be used for understanding cross-cultural expectations from self-driving cars that can potentially address problems of trust between passengers and self-driving cars, social acceptability of self-driving cars, and development of customized autonomous driving technologies. Further this thesis provides a serverless data-collection framework for future research in driving behaviors. 2022 2022 61 p. application/pdf Electronic Thesis or Dissertation Text FA00014115 http://purl.flvc.org/fau/fd/FA00014115 English Tolbert, Steven William Nojoumian, Mehrdad Florida Atlantic University Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. Automated vehicles Automated vehicles--Social aspects Artificial intelligence Human-machine systems