How to increase automated vehicles' acceptance through in-vehicle interaction design: A review

H Detjen, S Faltaous, B Pfleging, S Geisler… - … Journal of Human …, 2021 - Taylor & Francis
Automated vehicles (AVs) are on the edge of being available on the mass market. Research
often focuses on technical aspects of automation, such as computer vision, sensing, or …

Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review

AP Hungund, AK Pradhan - Accident Analysis & Prevention, 2023 - Elsevier
Abstract Automated Driving Systems (ADS)(SAE, 2021), promise improved safety and
comfort for drivers. Current technological advances have resulted in increased automation …

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 …

Situational trust scale for automated driving (STS-AD): Development and initial validation

BE Holthausen, P Wintersberger, BN Walker… - … on automotive user …, 2020 - dl.acm.org
Trust is important in determining how drivers interact with automated vehicles. Overtrust has
contributed to fatal accidents; and distrust can hinder successful adoption of this technology …

Psychophysiological responses to takeover requests in conditionally automated driving

N Du, XJ Yang, F Zhou - Accident Analysis & Prevention, 2020 - Elsevier
In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

Predicting driver takeover performance in conditionally automated driving

N Du, F Zhou, EM Pulver, DM Tilbury, LP Robert… - Accident Analysis & …, 2020 - Elsevier
In conditionally automated driving, drivers have difficulty taking over control when requested.
To address this challenge, we aimed to predict drivers' takeover performance before the …

Deeptake: Prediction of driver takeover behavior using multimodal data

E Pakdamanian, S Sheng, S Baee, S Heo… - Proceedings of the …, 2021 - dl.acm.org
Automated vehicles promise a future where drivers can engage in non-driving tasks without
hands on the steering wheels for a prolonged period. Nevertheless, automated vehicles may …

From manual driving to automated driving: A review of 10 years of autoui

J Ayoub, F Zhou, S Bao, XJ Yang - Proceedings of the 11th international …, 2019 - dl.acm.org
This paper gives an overview of the ten-year development of the papers presented at the
International ACM Conference on Automotive User Interfaces and Interactive Vehicular …

A systematic review and meta-analysis of takeover performance during conditionally automated driving

BW Weaver, PR DeLucia - Human factors, 2022 - journals.sagepub.com
Objective The aim of this paper was to synthesize the experimental research on factors that
affect takeover performance during conditionally automated driving. Background For …

How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review

G Merlhiot, M Bueno - Accident Analysis & Prevention, 2022 - Elsevier
Drowsiness and distraction are major factors of road crashes and responsible of> 35% of
road fatalities. Automated driving could solve or minimize their impact, yet it is also in itself a …