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Journal Article

Citation

Roche F, Somieski A, Brandenburg S. Hum. Factors 2019; 61(5): 839-849.

Affiliation

Technische Universität Berlin, Germany.

Copyright

(Copyright © 2019, Human Factors and Ergonomics Society, Publisher SAGE Publishing)

DOI

10.1177/0018720818814963

PMID

30517032

Abstract

OBJECTIVE:: We investigated drivers' behavior and subjective experience when repeatedly taking over their vehicles' control depending on the design of the takeover request (TOR) and the modality of the nondriving-related task (NDRT).

BACKGROUND:: Previous research has shown that taking over vehicle control after highly automated driving provides several problems for drivers. There is evidence that the TOR design and the NDRT modality may influence takeover behavior and that driver behavior changes with more experience.

METHOD:: Forty participants were requested to resume control of their simulated vehicle six times. The TOR design (auditory or visual-auditory) and the NDRT modality (auditory or visual) were varied. Drivers' takeover behavior, gaze patterns, and subjective workload were recorded and analyzed.

RESULTS:: Results suggest that drivers change their behavior to the repeated experience of takeover situations. An auditory TOR leads to safer takeover behavior than a visual-auditory TOR. And with an auditory TOR, the takeover behavior improves with experience. Engaging in the visually demanding NDRT leads to fewer gazes on the road than the auditory NDRT. Participants' fixation duration on the road decreased over the three takeovers with the visually demanding NDRT.

CONCLUSIONS:: The results imply that (a) drivers change their behavior to repeated takeovers, (b) auditory TOR designs might be preferable over visual-auditory TOR designs, and (c) auditory demanding NDRTs allow drivers to focus more on the driving scene. APPLICATION:: The results of the present study can be used to design TORs and determine allowed NDRTs in highly automated driving.


Language: en

Keywords

auditory displays; driver behavior; eye tracking; human-automation interaction; interface evaluation; vehicle automation; visual displays

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