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User Acceptance in Safety-Critical A...

Hutchins, Nathan F.

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User Acceptance in Safety-Critical Autonomous Transportation Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	User Acceptance in Safety-Critical Autonomous Transportation Systems./
作者:	Hutchins, Nathan F.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	100 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-04(E), Section: B.
Contained By:	Dissertation Abstracts International80-04B(E).
標題:	Computer engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10980470
ISBN:	9780438719996

User Acceptance in Safety-Critical Autonomous Transportation Systems.
Hutchins, Nathan F.

User Acceptance in Safety-Critical Autonomous Transportation Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 100 p.

Source: Dissertation Abstracts International, Volume: 80-04(E), Section: B.

Thesis (Ph.D.)--The University of Tulsa, 2018.

As early as the 1950s, the concept of futuristic transportation with automatic control options has captured the public's imagination. Only recently has this vision started to become a reality in any form. Nevertheless, as the pace of innovation in this domain increases and the potential for fully autonomous cars comes into view, a polarizing reaction is being observed from the population at large. This surprising outcome may stem from the very transfer of control away from the human operator that is being sought by system designers, which some people find unacceptable. In order to understand the complex and sometimes variable nature of human attitudes towards autonomous transportation systems and better facilitate system acceptance, the University of Tulsa's Vehicle Autonomy and Intelligence Lab (VAIL) began development of model which could be used to test hypotheses and understand the public reaction. This new model, the Safety Critical Technology Acceptance Model (SCTAM), and its companion, the Electronic Car Learning and Intelligence Program Simulator (ECLIPS), is the topic of this dissertation: discussions of its development, use, and validation are collected here. The SCTAM is a model of public perception and potential uses derived, in part, from many other time tested technology acceptance models of the past. SCTAM is unique, however, in its focus on technology that is safety critical and autonomous. The purpose of ECLIPS is to provide the researchers at VAIL a variable, easily manipulated simulation software that would allow testing of various parts of the autonomous system design, from algorithm development, human factors, and human-in-the-loop decision evaluation validation. This platform also allows for the testing of SCTAM and other safety-critical acceptance models. Therefore, this dissertation describes the development of the Safety-Critical Technology Acceptance Model, shows the development of the Electronic Car Learning and Intelligence Program Simulator, and demonstrates the uses of ECLIPS on development of Autonomous Transportation Systems. Data was collected using a series of surveys on user response and the effectiveness of the Virtual Reality (VR) simulator runs. Using SCTAM and ECLIPS, the developers of autonomous systems can begin working human factors into the development cycle and work towards giving users of these systems what they expect out of autonomous systems, which is critical to user acceptance. SCTAM shows an ability to predict user acceptance of safety-critical autonomy and works in conjunction with ECLIPS to give potential users an autonomous vehicle experience before these vehicles are widely available. Participating in ECLIPS gives users the experience needed to make decisions in relation to autonomous vehicles and helps developers make better decisions about the use of their systems without needing a full prototype. Using ECLIPS during development to test different implementations will allow developers to test items on many more potential users than previously available, increasing the likelihood of a positive technology acceptance.

ISBN: 9780438719996Subjects--Topical Terms:

621879
Computer engineering.

User Acceptance in Safety-Critical Autonomous Transportation Systems.
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