Transitions of control in partially autonomous vehicles : driver response and the design of vehicle interfaces
Abstract/Contents
- Abstract
- How should autonomous vehicles interact effectively and safely with human drivers? These are questions that vehicle designers and manufacturers need to investigate as partially autonomous vehicles continue expanding in scale and the capabilities of vehicle automation keep on improving significantly. To better understand how autonomous vehicles are expected to function and to discover critical issues that need further examination, we conducted 5 sets of empirical studies at the Driving Simulator at Stanford - Exploratory Wizard of Oz study, Driver Intervention Studies, Minimum Necessary Time Studies, Robotic Transforming Steering Wheel Studies and LED Transforming Steering Wheel Study. The objective of our research is to find out how drivers respond to different ways of transitioning control in partially autonomous vehicles. We examined the role of the control interface design, demographics, tasks before transitions, and alert modality on people's ability to successfully resume driving after a transition of control from vehicle automation. These research studies help us understand what factors influence drivers' preferences in interacting with partially autonomous vehicles and their takeover performance in transition of control scenarios. We then used these insights to design and evaluate multiple novel prototype driving interfaces to better assist drivers. From the findings of these studies, we form a set of design recommendations that can better inform vehicle manufacturers regarding the design of autonomous vehicles to improve the safety and comfort of drivers.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Mok, Brian Ka-Jun |
|---|---|
| Associated with | Stanford University, Department of Mechanical Engineering. |
| Primary advisor | Ju, Wendy, 1975- |
| Primary advisor | Leifer, Larry J |
| Thesis advisor | Ju, Wendy, 1975- |
| Thesis advisor | Leifer, Larry J |
| Thesis advisor | Cutkosky, Mark R |
| Thesis advisor | Follmer, Sean |
| Advisor | Cutkosky, Mark R |
| Advisor | Follmer, Sean |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Brian Ka-Jun Mok. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Brian Ka-Jun Mok
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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