The Effect of Urgency of Take-Over Requests During Highly Automated Driving Under Distraction Conditions

Frederik Naujoks · Alexandra Neukum

187 citations0/0 files storedAHFE international

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human-Automation Interaction and Safety Vehicle Dynamics and Control Systems Autonomous Vehicle Technology and Safety

Abstract

Highly automated driving may improve driving comfort and safety in the near future. Due to possible system limits of highly automated driver support, the driver is expected to take over the vehicle control if a so-called take-over request is issued. One example of these system limits are missing or ending lines on motorways. This study focuses on the design of take-over requests in such situations. Using a motion-based driving simulator, N = 16 participants encountered different take-over situations in congested traffic that varied in their difficulty: ending lines on straight road (easy), temporary lines due to a work zone (moderate) and loss of lines in a situation with high curvature (difficult). The driver support consisted of a hands-off system that was taking over longitudinal and lateral control. Participants were asked to perform a secondary task while driving. Take-over requests were presented either visually or visual-auditory. Drivers’ hands-on times (i.e., time until driver puts hands back on the steering wheel) are lower if visual-auditory take-over requests are used in comparison to purely visual ones. Measures of lateral vehicle control also show an advantage of visual-auditory take-over requests. Differences between the take-over concepts are especially pronounced in difficult take-over situations.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 187 citations exist upstream.

References

1997Humans and Automation: Use, Misuse, Disuse, Abuse 1999Level of automation effects on performance, situation awareness and workload in a dynamic control task 2013“Take over!” How long does it take to get the driver back into the loop?2008A Comparison of Tactile, Visual, and Auditory Warnings for Rear-End Collision Prevention in Simulated Driving 2004Behavioural adaptation to adaptive cruise control (ACC): implications for preventive strategies 2011Towards a dynamic balance between humans and automation: authority, ability, responsibility and control in shared and cooperative control situations 2004Trust and etiquette in high-criticality automated systems 1997Alarm effectiveness in driver-centred collision-warning systems

Cited by

2018Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays 2018The effects of takeover request modalities on highly automated car control transitions 2016Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving 2020Automated Driving: A Literature Review of the Take over Request in Conditional Automation

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.