Year: 2021
Type: dissertation
Abstract: With radical technological developments, we will soon experience self-driving mobility services of the future. Early autonomous vehicles were only able to recognize and handle some driving situations, but the continuous development of technology eliminated this boundary. Recent studies expect fully autonomous vehicles to be introduced as Shared Autonomous Vehicle (SAV), a shared-fleet service model. In addition, many researchers expect that using SAV, which is a form of shared automation vehicles, will create socio-economic benefits such as preventing urban sprawl, improving safety, reducing emissions, and creating more free time. However, a recent study has shown that most current SAV models focus on optimizing system-wide operations rather than on the user side. The research related to this issue has expressed concern that technologies such as SAV could fail without considering user-side experience. As a result, research and development on the user side of SAV, which provides many socio-economic benefits, is needed. \nTherefore, this study aims to identify design opportunities that provide the best user experience in SAV. In addition, suggested design opportunities aim to contribute to future SAV design by identifying design elements that encourage and support future users' in-vehicle activities. To find out user experience and needs in SAV, I considered in-vehicle activities due to automation as an important user factor and considered mood as a way to support design approaches based on user needs. In this regard, considering that SAV is likely to be operated in metropolitan areas, three major trip types of SAV were selected through literature review: commute, business, and leisure. Then, Experience prototyping and self-report measure design methods were applied to explore specific user experiences for selected trip types. Finally, based on the results of the first study, a designer workshop was conducted to find user-side design opportunities that encouraged future use of SAVs. As a result, this study provides data on specific user experiences such as in-vehicle activity, desired mood, and user???s needs of future passengers, while at the same time providing four design opportunities to provide the best possible experience for SAV users. Furthermore, a visual example of applying four design opportunities to three main trip types through user data is also provided.
Author: Lee, Min-hyuk
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7015157214