Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior?

要旨

Policymakers recommend that automated vehicles (AVs) display their automated driving status using an external human-machine interface (eHMI). However, previous studies suggest that a status eHMI is associated with overtrust, which might be overcome by an additional yielding intent message. We conducted a video-based laboratory study (N=67) to investigate pedestrians’ trust and crossing behavior in repeated encounters with AVs. In a 2x2 between-subjects design, we investigated (1) the occurrence of a malfunction (AV failing to yield) and (2) system transparency (status eHMI vs. status+intent eHMI). Results show that during initial encounters, trust gradually increases and crossing onset time decreases. After a malfunction, trust declines but recovers quickly. In the status eHMI group, trust was reduced more, and participants showed 7.3 times higher odds of colliding with the AV as compared to the status+intent group. We conclude that a status eHMI can cause pedestrians to overtrust AVs and advocate additional intent messages.

受賞
Honorable Mention
著者
Stefanie Martina. Faas
Mercedes-Benz AG, Boeblingen, Germany
Johannes Kraus
Ulm University, Ulm, Germany
Alexander Schoenhals
Mercedes-Benz AG, Boeblingen, Germany
Martin Baumann
Ulm University, Ulm, Germany
DOI

10.1145/3411764.3445738

論文URL

https://doi.org/10.1145/3411764.3445738

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Human-AI, Automation, Vehicles & Drones / Trust & Explainability

[A] Paper Room 15, 2021-05-13 17:00:00~2021-05-13 19:00:00 / [B] Paper Room 15, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 15, 2021-05-14 09:00:00~2021-05-14 11:00:00
Paper Room 15
12 件の発表
2021-05-13 17:00:00
2021-05-13 19:00:00
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