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- Evaluating Real-Time Human Trust in a Virtual Reality Driving Simulator Using Human Sensing
Clinical Trial
Evaluating Real-Time Human Trust in a Virtual Reality Driving Simulator Using Human Sensing
In this study, we aim to achieve two objectives. First, we seek to determine whether real-time human trust in a virtual reality (VR) driving simulator can be predicted. To predict real-time human trust, we will utilize sensors, including eye trackers to monitor visual attention, EEGs to analyze brain activity, and heart rate monitors to assess nervous system activity. By synthesizing data from these sensors, we intend to infer the dynamic changes in human trust levels as participants interact with the driving simulator through machine learning algorithms. Second, we will test whether appropriate warnings?such as visual signifiers, sounds, and force feedback from steering wheels?can calibrate human trust in the advanced driver assistance system.
Eligibility Criteria
- Up to 500 healthy individuals over the age of 18 will be recruited for the experiment. Exclusion criteria: ? individuals who wear thick glasses ? individuals who have eye disorders such as strabismus or amblyopia ? individuals with eye conditions that may prevent the eye tracker from working properly