Improving Usefulness of Automated Driving by Lowering Primary Task Interference through HMI Design. (16th August 2017)

• Record Type: Journal Article
• Authors: Naujoks, Frederik; Forster, Yannick; Wiedemann, Katharina; Neukum, Alexandra
• Other Names: Llorca David F. Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2017(2017)
• Publication Date: 2017-08-16
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2017/6105087
• Languages: English
• ISSNs: 0197-6729

Abstract

Abstract : During conditionally automated driving (CAD), driving time can be used for non-driving-related tasks (NDRTs). To increase safety and comfort of an automated ride, upcoming automated manoeuvres such as lane changes or speed adaptations may be communicated to the driver. However, as the driver's primary task consists of performing NDRTs, they might prefer to be informed in a nondistracting way. In this paper, the potential of using speech output to improve human-automation interaction is explored. A sample of 17 participants completed different situations which involved communication between the automation and the driver in a motion-based driving simulator. The Human-Machine Interface (HMI) of the automated driving system consisted of a visual-auditory HMI with either generic auditory feedback (i.e., standard information tones) or additional speech output. The drivers were asked to perform a common NDRT during the drive. Compared to generic auditory output, communicating upcoming automated manoeuvres additionally by speech led to a decrease in self-reported visual workload and decreased monitoring of the visual HMI. However, interruptions of the NDRT were not affected by additional speech output. Participants clearly favoured the HMI with additional speech-based output, demonstrating the potential of speech to enhance usefulness and acceptance of automated vehicles.