Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges

MH Alkinani, WZ Khan, Q Arshad - Ieee Access, 2020 - ieeexplore.ieee.org
Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

Determinants of take-over time from automated driving: A meta-analysis of 129 studies

B Zhang, J De Winter, S Varotto, R Happee… - … research part F: traffic …, 2019 - Elsevier
An important question in automated driving research is how quickly drivers take over control
of the vehicle in response to a critical event or a take-over request. Although a large number …

A design space for human sensor and actuator focused in-vehicle interaction based on a systematic literature review

P Jansen, M Colley, E Rukzio - Proceedings of the ACM on Interactive …, 2022 - dl.acm.org
Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency

J Kraus, D Scholz, D Stiegemeier… - Human factors, 2020 - journals.sagepub.com
Objective This paper presents a theoretical model and two simulator studies on the
psychological processes during early trust calibration in automated vehicles. Background …

Calibrating trust through knowledge: Introducing the concept of informed safety for automation in vehicles

S Khastgir, S Birrell, G Dhadyalla, P Jennings - Transportation research part …, 2018 - Elsevier
There has been an increasing focus on the development of automation in vehicles due its
many potential benefits like safety, improved traffic efficiency, reduced emissions etc. One of …

Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance

Z Lu, B Zhang, A Feldhütter, R Happee… - … research part F: traffic …, 2019 - Elsevier
In conditionally automated driving, drivers do not have to monitor the road, whereas in
partially automated driving, drivers have to monitor the road permanently. We evaluated a …

Legal issues in automated vehicles: critically considering the potential role of consent and interactive digital interfaces

JA Pattinson, H Chen, S Basu - Humanities and Social Sciences …, 2020 - nature.com
Some of the first 'automated'vehicles to be deployed on our roads will require a system of
shared driving with a human driver. While this creates technical and operational challenges …

Driving performance at lateral system limits during partially automated driving

F Naujoks, C Purucker, K Wiedemann… - Accident Analysis & …, 2017 - Elsevier
This study investigated driver performance during system limits of partially automated
driving. Using a motion-based driving simulator, drivers encountered different situations in …

[HTML][HTML] Human machine interface design for continuous support of mode awareness during automated driving: An online simulation

AM Tinga, D Cleij, RJ Jansen, S van der Kint… - … research part F: traffic …, 2022 - Elsevier
In the transition towards higher levels of vehicle automation, one of the key concerns with
regards to human factors is to avoid mode confusion, when drivers misinterpret the driving …

Control transition interfaces in semiautonomous vehicles: A categorization framework and literature analysis

AG Mirnig, M Gärtner, A Laminger… - Proceedings of the 9th …, 2017 - dl.acm.org
Designing safe and effective systems for control transitions between human and vehicle is a
difficult task, due to increased reaction times and potentially inattentive drivers. In order to …