HCMar 12, 2019

Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance

arXiv:1903.05251v1135 citations
Originality Synthesis-oriented
AI Analysis

This addresses the issue of driver distraction and safety in automated vehicles, but it is incremental as it builds on existing trust and situational awareness research.

The study tackled the problem of low driver trust in automated driving systems by enhancing situational awareness, finding that increased situational awareness promoted and moderated trust, leading to better secondary task performance as measured by self-reported trust and behavior.

Driver assistance systems, also called automated driving systems, allow drivers to immerse themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated driving system, which prevents either handing over the driving task or fully focusing on the secondary task. We assert that enhancing situational awareness can increase trust in automation. Situational awareness should increase trust and lead to better secondary task performance. This study manipulated situational awareness by providing them with different types of information: the control condition provided no information to the driver, the low condition provided a status update, while the high condition provided a status update and a suggested course of action. Data collected included measures of trust, trusting behavior, and task performance through surveys, eye-tracking, and heart rate data. Results show that situational awareness both promoted and moderated the impact of trust in the automated vehicle, leading to better secondary task performance. This result was evident in measures of self-reported trust and trusting behavior.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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