Look who's talking now: Implications of AV's explanations on driver's trust, AV preference, anxiety and mental workload
URL: https://arxiv.org/abs/1912.00777
archive: archived pipeline: cataloged verified
Summary
Driving-simulator study examining how AV-spoken explanations of upcoming actions shape driver trust, AV preference, anxiety, and mental workload. Compared why-only, how-only, and why-and-how explanations against no-explanation controls in a level-3-style automated-driving context. Authors integrate prior findings (e.g., Koo et al. 2015) and report that explanation content and framing modulate emotional valence, acceptance, and driving-performance trade-offs in automated vehicles.
Key finding
AV explanations are not uniformly beneficial: framing matters - 'why' explanations support emotional valence and acceptance, while 'how' explanations alone can degrade performance, indicating explanation design must balance trust calibration with workload.
Methodology
Driving-simulator experiment with manipulated AV explanation conditions (why-only, how-only, why-and-how, none). Trust, AV preference, anxiety, and mental workload were measured via subjective scales alongside driving-performance metrics.
Quality score: 5 / 5