Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload

Version 1 : Received: 18 August 2022 / Approved: 18 August 2022 / Online: 18 August 2022 (11:02:56 CEST)

A peer-reviewed article of this Preprint also exists.

Figalová, N.; Chuang, L.L.; Pichen, J.; Baumann, M.; Pollatos, O. Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload. Multimodal Technol. Interact. 2022, 6, 73. Figalová, N.; Chuang, L.L.; Pichen, J.; Baumann, M.; Pollatos, O. Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload. Multimodal Technol. Interact. 2022, 6, 73.

Journal reference: Multimodal Technol. Interact. 2022, 6, 73
DOI: 10.3390/mti6090073

Abstract

Drivers of L3 automated vehicles (AVs) are not required to continuously monitor the AV system. However, they must be prepared to take over when requested. Therefore, it is necessary to design an in-vehicle environment that allows drivers to adapt their levels of preparedness to the likelihood of control transition. This study evaluates ambient in-vehicle lighting that continuously communicates the current level of AV reliability, specifically on how it could influence drivers' take-over performance and mental workload (MW). We conducted an experiment in a driving simulator with 42 participants who experienced 10 take-over requests (TORs). The experimental group experienced a four-stage ambient light display that communicated the current level of AV reliability, which was not provided to the control group. The experimental group demonstrated better take-over performance, based on lower vehicle jerks. Notably, perceived MW did not differ between the groups, and the EEG indices of MW (frontal theta power, parietal alpha power, Task-Load Index) did not differ between the groups. These findings suggest that communicating the current level of reliability using ambient light might help drivers be better prepared for TORs and perform better without increasing their MW.

Keywords

ambient light; reliability; take-over request; mental workload; electroencephalography (EEG); transition of control

Subject

BEHAVIORAL SCIENCES, Cognitive & Experimental Psychology

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