How to Maximize Trust in Autonomous Driving; How Have Recent Music Streaming Platforms Influenced Music Piracy?
McManus, Jack, School of Engineering and Applied Science, University of Virginia
Seabrook, Bryn, EN-Engineering and Society, University of Virginia
Feng, Lu, EN-Comp Science Dept, University of Virginia
This project investigates two research questions – how have recent music streaming platforms influenced music piracy and how to maximize trust in autonomous driving. Both the topics of music streaming influencing piracy and autonomous driving aspects influencing trust provide modern examples of technological determinism. Both questions are relevant to the average member of society and are addressed to better understand the way technology moves society. As music streaming and autonomous driving both evolve, so too will the ways in which they impact us. It is therefore imperative to understand these influences. How can we maximize trust in autonomous driving and how has streaming influenced piracy? These questions are pertinent to the future of safety, legislation, and the ways society makes smarter decisions about the impact of evolving technologies.
The capstone portion of this research aimed to study the most effective ways to optimize trust in autonomous driving. The research was done using a driving simulator located in Rice Hall 020. Scenarios consisted of participants driving by a randomized order of stopped trucks, pedestrian crossings, cyclists, and oncoming trucks. Scenarios also included incorrect behavior such as missed alarms, false alarms, missed stop signs, and near collisions with pedestrians. The use of a driving simulator allowed for repeatable instances not normally testable with a real car such as near collisions and difficult to pass vehicles.
The STS research paper answers the question of how recent music streaming platforms (such as Spotify and Apple Music) have influenced digital music piracy. This question is addressed through the lens of the technological determinism framework which allows the analysis to better analyze how technology influences society’s decision making in terms of consumption and even breaking the law.
BS (Bachelor of Science)
Music Streaming, Technological Determinism, Piracy, Autonomous Driving
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Lu Feng
STS Advisor: Bryn Seabrook
Technical Team Members: David Bennett, Eason Duggan
All rights reserved (no additional license for public reuse)