Displays for Productive Non-Driving Related Tasks: Visual Behavior and Its Impact in Conditionally Automated Driving

Author:

Schartmüller ClemensORCID,Weigl KlemensORCID,Löcken AndreasORCID,Wintersberger PhilippORCID,Steinhauser MarcoORCID,Riener AndreasORCID

Abstract

(1) Background: Primary driving tasks are increasingly being handled by vehicle automation so that support for non-driving related tasks (NDRTs) is becoming more and more important. In SAE L3 automation, vehicles can require the driver-passenger to take over driving controls, though. Interfaces for NDRTs must therefore guarantee safe operation and should also support productive work. (2) Method: We conducted a within-subjects driving simulator study (N=53) comparing Heads-Up Displays (HUDs) and Auditory Speech Displays (ASDs) for productive NDRT engagement. In this article, we assess the NDRT displays’ effectiveness by evaluating eye-tracking measures and setting them into relation to workload measures, self-ratings, and NDRT/take-over performance. (3) Results: Our data highlights substantially higher gaze dispersion but more extensive glances on the road center in the auditory condition than the HUD condition during automated driving. We further observed potentially safety-critical glance deviations from the road during take-overs after a HUD was used. These differences are reflected in self-ratings, workload indicators and take-over reaction times, but not in driving performance. (4) Conclusion: NDRT interfaces can influence visual attention even beyond their usage during automated driving. In particular, the HUD has resulted in safety-critical glances during manual driving after take-overs. We found this impacted workload and productivity but not driving performance.

Funder

Bundesministerium für Bildung und Forschung

Bundesministerium für Verkehr und Digitale Infrastruktur

Publisher

MDPI AG

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)

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1. How to design driver takeover request in real-world scenarios: A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2024-07

2. Non-driving-related tasks and drivers’ takeover time: A meta-analysis;Transportation Research Part F: Traffic Psychology and Behaviour;2024-05

3. The Impact of Transparency on Driver Trust and Reliance in Highly Automated Driving: Presenting Appropriate Transparency in Automotive HMI;Applied Sciences;2024-04-11

4. On the Road to Productivity: Investigating Text-Presentation Techniques and Audio Assistance for Non-Driving Tasks in Conditionally Automated Vehicles;Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia;2023-12-03

5. Enlightening mode awareness;Personal and Ubiquitous Computing;2023-11-24

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