4.6 Review

A Literature Review on Additional Semantic Information Conveyed from Driving Automation Systems to Drivers through Advanced In-Vehicle HMI Just Before, During, and Right After Takeover Request

Related references

Note: Only part of the references are listed.
Article Psychology, Applied

Exploring the benefits of conversing with a digital voice assistant during automated driving: A parametric duration model of takeover time

Kirti Mahajan et al.

Summary: This research examines the role of an in-vehicle digital voice assistant in conditionally automated vehicles, demonstrating its ability to increase driver alertness and active workload during automation, as well as enhance their situation awareness, thereby increasing the likelihood of timely vehicle takeover.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2021)

Article Computer Science, Information Systems

Advanced Alarm Method Based on Driver's State in Autonomous Vehicles

Ji-Hyeok Han et al.

Summary: This study proposes an advanced method for triggering alarms in autonomous vehicles based on analyzing differences in driver responses, targeting specific conditions. Experimental results show that drivers exhibit high alertness to auditory alarms in both drowsy and distracted conditions, with a higher change in gaze indicator in the distraction condition.

ELECTRONICS (2021)

Article Ergonomics

Effects of different takeover request interfaces on takeover behavior and performance during conditionally automated driving

Yang-Kun Ou et al.

Summary: This study focused on how drivers immersed in non-driving related tasks could quickly take over automated driving cars, and examined the impact of different interface designs and information loads on takeover behavior and performance. The results showed that drivers with the advanced prediction interface had higher takeover efficiency when out of NDRT immersion, and providing directional information prompts led to faster takeovers regardless of interface type or NDRT immersion.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Proceedings Paper Computer Science, Interdisciplinary Applications

Don't Worry, I'm in Control! Is Users' Trust in Automated Driving Different When Using a Continuous Ambient Light HMI Compared to an Auditory HMI?

Tyron Louw et al.

Summary: This study investigates the impact of ambient LED displays on drivers' trust, perceived safety, and reactions during L3 automated driving. Results show that ambient LED displays can provide reassurance of automation status and facilitate non-urgent transitions of control.

AUTOMOTIVEUI '21 ADJUNCT PROCEEDINGS: 13TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2021)

Proceedings Paper Computer Science, Interdisciplinary Applications

A Novel Technique for Faster Responses to Take Over Requests in an Automated Vehicle

Francesco F. Walker et al.

Summary: This study explored how drivers in automated vehicles could react faster when prompted to take back control. The experiment found that drivers responded faster when ambient lighting was synchronized with their breathing. This suggests that unconscious connections between drivers and vehicles could facilitate faster and potentially safer transfers of control.

AUTOMOTIVEUI '21: 13TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Increasing the User Experience in Autonomous Driving through different Feedback Modalities

Tobias Schneider et al.

Summary: The study found that in autonomous driving experiences, light and visual feedback methods can create a positive user experience compared to no feedback.

IUI '21 - 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (2021)

Proceedings Paper Computer Science, Artificial Intelligence

The Effect of Surrounding Scenery Complexity on the Transfer of Control Time in Highly Automated Driving

Frederik Wiehr et al.

Summary: This study investigates the impact of environmental complexity on the transfer of control time in highly automated driving, finding that the ToC time is proportional to the complexity of the environment. This model provides a first step towards measuring real-world complexity for better prediction of ToC times.

IUI '21 - 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (2021)

Article Psychology, Applied

Visualizing the autonomous vehicle's maneuvers-Does an ecological interface help to increase the hedonic quality and safety?

F. Schewe et al.

Summary: The paper investigates whether ecological speed information during automated driving can improve hedonic quality and driving safety during a driving takeover. The study involved 43 drivers in a dynamic driving simulator experiment comparing ecological and conventional interfaces for presenting speed changes. The results show that the ecological interface did not differ from the conventional interface in terms of hedonic quality, but significantly improved lateral control and early use of vehicle mirrors after takeover, potentially helping drivers cope with sudden takeovers in a faster and more controlled manner.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2021)

Review Computer Science, Information Systems

Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence

Soyeon Kim et al.

Summary: The literature review found that advanced user interfaces can enhance the safety and acceptance of automated driving, but there are also negative effects, possibly related to information overload. Positive and negative results of similar UI concepts in different studies highlight the need for systematic UI testing across driving conditions and driver characteristics.

INFORMATION (2021)

Article Ergonomics

Drivers' visual-distracted take-over performance model and its application on adaptive adjustment of time budget

Qingkun Li et al.

Summary: This study focuses on the issue of visual distraction during take-over in automated driving systems, proposing an evaluation method based on face orientation and implementing adaptive time budget adjustment through a regression model.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Article Psychology, Applied

Effects of explanation-based knowledge regarding system functions and driver's roles on driver takeover during conditionally automated driving: A test track study

Huiping Zhou et al.

Summary: The study examined the influence of explanation-based knowledge on system functions and the driver's role in conditionally automated driving. Results showed that providing explanations regarding HMI and request-to-intervene (RtI) situations was effective in helping both younger and older drivers successfully assume control of the vehicle when encountering situations that exceeded automation parameters.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2021)

Article Ergonomics

In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles

Dengbo He et al.

Summary: The study found that providing surrounding traffic information in automated vehicles can help drivers anticipate traffic conflicts, take preventive measures, and improve driving safety.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Article Psychology, Experimental

Impact of mind-wandering on visual information processing while driving: An electrophysiological study

Guillaume Pepin et al.

Summary: Mind-wandering (MW) has been found to negatively impact tasks requiring sustained attention, such as driving, leading to reduced visual information processing and longer reaction times. It is suggested that investigating off-task characteristics of MW may help in understanding its impact on car crashes better in the future.

APPLIED COGNITIVE PSYCHOLOGY (2021)

Article Transportation Science & Technology

Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving

Na Du et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Computer Science, Information Systems

Ergonomic Guidelines of Head-Up Display User Interface during Semi-Automated

Kibum Park et al.

ELECTRONICS (2020)

Article Computer Science, Artificial Intelligence

Does a Confidence Level for Automated Driving Time Estimations Improve the Subjective Evaluation of an Automation HMI?

Tobias Hecht et al.

MULTIMODAL TECHNOLOGIES AND INTERACTION (2020)

Article Psychology, Applied

The impact of auditory continual feedback on take-overs in Level 3 automated vehicles

Guy Cohen-Lazry et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2020)

Article Transportation Science & Technology

Human-Centered Intervention Based on Tactical-Level Input in Unscheduled Takeover Scenarios for Highly-Automated Vehicles

Mitsuhiro Kamezaki et al.

INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH (2020)

Article Transportation Science & Technology

Design of an HMI System Promoting Smooth and Safe Transition to Manual from Level 3 Automated Driving

Nobuyo Kasuga et al.

INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH (2020)

Article Engineering, Electrical & Electronic

Automated Vehicle Handover Interface Design: Focus Groups with Learner, Intermediate and Advanced Drivers

Jediah R. Clark et al.

AUTOMOTIVE INNOVATION (2020)

Article Engineering, Civil

Effects of Human Understanding of Automation Abilities on Driver Performance and Acceptance of Lane Change Collision Avoidance Systems

Husam Muslim et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Computer Science, Cybernetics

Head-up Display Graphic Warning System Facilitates Simulated Driving Performance

Zhen Yang et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2019)

Article Computer Science, Artificial Intelligence

Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions

Alexander Eriksson et al.

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2019)

Article Computer Science, Cybernetics

Keeping the driver in the loop: Dynamic feedback to support appropriate use of imperfect vehicle control automation

Bobbie D. Seppelt et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2019)

Article Public, Environmental & Occupational Health

Improvement of driver active interventions during automated driving by displaying trajectory pointers-A driving simulator study

Sayaka Ono et al.

TRAFFIC INJURY PREVENTION (2019)

Proceedings Paper Engineering, Electrical & Electronic

Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving

Alexander Kunze et al.

AUTOMOTIVEUI'19: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2019)

Proceedings Paper Engineering, Electrical & Electronic

A Longitudinal Simulator Study to Explore Drivers' Behaviour in Level 3 Automated Vehicles

David R. Large et al.

AUTOMOTIVEUI'19: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2019)

Article Psychology, Experimental

The affective twitches of task switches: Task switch cues are evaluated as negative

Luc Vermeylen et al.

COGNITION (2019)

Article Psychology, Applied

Directability, eye-gaze, and the usage of visual displays during an automated vehicle handover task

Jediah R. Clark et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2019)

Article Psychology, Applied

Evaluation of the effects of age-friendly human-machine interfaces on the driver's takeover performance in highly automated vehicles

Shuo Li et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2019)

Article Computer Science, Cybernetics

Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things

Philipp Wintersberger et al.

INTERNATIONAL JOURNAL OF MOBILE HUMAN COMPUTER INTERACTION (2019)

Article Psychology, Applied

Take-over requests during highly automated driving: How should they be presented and under what conditions?

Stefan Brandenburg et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2019)

Proceedings Paper Transportation

The Design of a Vibrotactile Seat for Conveying Take-Over Requests in Automated Driving

Sebastiaan M. Petermeijer et al.

ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION (2018)

Article Psychology, Applied

Secondary task engagement and disengagement in the context of highly automated driving

Bernhard Wandtner et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2018)

Proceedings Paper Computer Science, Information Systems

Preparing Drivers for Planned Control Transitions in Automated Cars

Kai Hoellander et al.

17TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA (MUM 2018) (2018)

Proceedings Paper Engineering, Electrical & Electronic

Let Me Finish before I Take Over: Towards Attention Aware Device Integration in Highly Automated Vehicles

Philipp Wintersberger et al.

AUTOMOTIVEUI'18: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2018)

Proceedings Paper Engineering, Electrical & Electronic

Augmented Reality Displays for Communicating Uncertainty Information in Automated Driving

Alexander Kunze et al.

AUTOMOTIVEUI'18: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2018)

Proceedings Paper Engineering, Electrical & Electronic

Design Guidelines for Reliability Communication in Autonomous Vehicles

Sarah Faltaous et al.

AUTOMOTIVEUI'18: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2018)

Article Psychology, Applied

The impact of an in-vehicle display on glance distribution in partially automated driving in an on-road experiment

Ann-Kathrin Kraft et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2018)

Article Transportation Science & Technology

Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation

Tyron Louw et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Article Computer Science, Cybernetics

Using a Vibrotactile Seat for Facilitating the Handover of Control during Automated Driving

Ariel Telpaz et al.

INTERNATIONAL JOURNAL OF MOBILE HUMAN COMPUTER INTERACTION (2017)

Proceedings Paper Computer Science, Artificial Intelligence

A Human-Machine Interface for Cooperative Highly Automated Driving

Frederik Naujoks et al.

ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION (2017)

Article Ergonomics

Driver compliance to take-over requests with different auditory outputs in conditional automation

Yannick Forster et al.

ACCIDENT ANALYSIS AND PREVENTION (2017)

Article Computer Science, Artificial Intelligence

Displaying System Situation Awareness Increases Driver Trust in Automated Driving

Kohei Sonoda et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2017)

Article Engineering, Industrial

Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop

Sebastiaan Petermeijer et al.

APPLIED ERGONOMICS (2017)

Article Computer Science, Cybernetics

Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests

Marcel Walch et al.

INTERNATIONAL JOURNAL OF MOBILE HUMAN COMPUTER INTERACTION (2017)

Article Ergonomics

Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness

Felix Schwarz et al.

ACCIDENT ANALYSIS AND PREVENTION (2017)

Article Ergonomics

Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat

S. M. Petermeijer et al.

ACCIDENT ANALYSIS AND PREVENTION (2017)

Proceedings Paper Computer Science, Artificial Intelligence

A Countdown to Manual Driving: How Do Drivers Get Back-in-the-Loop?

Annika Larsson

ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION (2017)

Proceedings Paper Engineering, Electrical & Electronic

Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback

Alexander Kunze et al.

AUTOMOTIVEUI'17: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2017)

Proceedings Paper Engineering, Electrical & Electronic

Control Transition Workshop: Handover and Takeover Procedures in Highly Automated Driving

Shadan Sadeghian Borojeni et al.

AUTOMOTIVEUI'17: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

Shadan Sadeghian Borojeni et al.

8TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (AUTOMOTIVEUI 2016) (2016)

Proceedings Paper Behavioral Sciences

Take-Over Requests for automated driving

Vivien Melcher et al.

6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015 (2015)

Proceedings Paper Transportation Science & Technology

Distractive or supportive - how warnings in the head-up display affect drivers' gaze and driving behavior

Susann Winkler et al.

2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Psychology, Applied

Loudness interacts with semantics in auditory warnings to impact rear-end collisions

Carryl L. Baldwin et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2011)

Article Psychology, Applied

Using spatial vibrotactile cues to direct visual attention in driving scenes

C Ho et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2005)