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Published on: January 23, 2017
Drivers' Spatio-Temporal Attentional Distributions Are Influenced by Vehicle Dynamics and Displayed Point of View
Tyler N Morrison1, Emanuele Rizzi1, O Anil Turkkan1
12647 Ohio State University, Columbus, USA.
This study evaluated windshield and top-down displays for driving simulations. The windshield display improved tracking performance and driver attention, especially with complex vehicle dynamics.
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Cognitive Psychology
Background:
- Evaluating driver attention and tracking error is crucial for road safety.
- Display perturbation techniques and Fourier analysis offer methods to infer drivers' attention distribution and quantify tracking errors.
Purpose of the Study:
- To measure drivers' attention to preview and their velocity and acceleration tracking error.
- To evaluate the effectiveness of two-dimensional (top-down) and three-dimensional (windshield) displays for following a winding roadway.
Main Methods:
- Participants performed driving tasks in low-fidelity simulations, tracking a winding road with 1-second preview.
- Two display types (top-down and windshield) were paired with position and rate-aided vehicle dynamics.
- Display perturbation techniques and Fourier analysis were used to assess attention and tracking error.
Main Results:
- The windshield display resulted in smoother tracking for both vehicle dynamics compared to the top-down display.
- With rate-aided control, the top-down display led to significantly higher position error and lower attentional signal-to-noise ratios.
- The windshield display showed better stimulus-response compatibility with optimal attentional distributions.
Conclusions:
- Display design significantly influences driver attention and tracking performance.
- Windshield displays, which emphasize nearer preview information, can enhance driving performance by aligning with optimal attentional strategies.
- Display perturbation techniques provide a valuable method to assess attention in driving contexts, complementing eye-tracking measures.
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