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Comprehending Inclinations Towards Autonomous Vehicles


Comprehending Inclinations Towards Autonomous Vehicles

Nipane, Aishwary Pramodrao (2021) Comprehending Inclinations Towards Autonomous Vehicles. Masters thesis, Concordia University.

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Many of today's autonomous vehicle (AVs) improvements involve overcoming technology barriers to AV readiness. However, once AVs are out, acceptance and people's willingness (APW) to use remain a concern. As a result, the question arises. Are we attentive enough towards humans' aspects in the evolution of AV technology? Do we need to? The present dilemma around autonomous vehicles is of their acceptance rather than technological advancements. Many academics have investigated autonomous vehicles using questionnaires and different studies to discover how individuals can act. The issue is that individuals do not always do what they say, which does not usually describe a definite image.

Nevertheless, on the other hand, we believe psychological aspects signify people's state of being. So, as a response, we seek to attain an understanding by studying human psychological aspects. This study seeks to streamline interdependency between human psychological elements and how people receive the information through various mediums and channels. With these two aspects combined, we attempt to comprehend people's inclinations towards AVs. The study resulted in a theoretical comparative estimation table (CET) and CET Hierarchical Concept Map through our reviewed literature. The study thus intended to understand the riddle of acceptability via people's psychological elements through the proposed extended theoretical comparative estimation table (CET) table. Further, through the application of the extended CET table, we present our findings comprised of our studied references with the visualization to showcase the people's viewpoints on the tendency towards autonomous vehicles.

We believe the study provides vision and puts psychological elements into consideration of tackling challenges and skeptical side of concerns of APW of AVs. It also fosters interested future researchers to comprehend APW challenges better with corresponding attributes used in the CET table and CET Hierarchical Concept Map.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Nipane, Aishwary Pramodrao
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Information Systems Security
Date:October 2021
Thesis Supervisor(s):Awasthi, Anjali
Keywords:psychology, acceptance, human aspects, autonomous vehicles, visualization and analysis, willingness.
ID Code:989051
Deposited By: Aishwary Pramodrao Nipane
Deposited On:16 Jun 2022 14:57
Last Modified:16 Jun 2022 14:57
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