The concept of driverless cars is not too far off in the future. Therefore, research examining how people interact with mixed automation is necessary in order to mediate any possible negative effects of such interactions. The current study investigates possible compatibility effects of a human actor and mixed automation as a co-actor in the context of driving. For this study, I used a modified joint Simon task, where a human participant performs the task while cooperatively driving with a mixed automated driving simulator. The purpose of this experiment is to determine whether people represent and monitor automation in a shared task. This may be important because many drivers use systems such as advanced driver-assistance systems (ADAS), which require the driver to share tasks with automation. Therefore, it is important to know if people are paying attention to the ADAS for situations in which the systems make a mistake, thus requiring the driver to take over.
|Advisor:||Miles, James D.|
|Commitee:||Vu, Kim-Phuong L., Strybel, Thomas Z.|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 82/8(E), Masters Abstracts International|
|Keywords:||Advanced driver-assistance systems (ADAS), Compatibility effects, Joint Simon effect, Mixed automation|
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