Evidence of automated vehicle safety's influence on people's acceptance of the automated driving technology

Article Computer Science, Artificial Intelligence

Developing a new integrated advanced driver assistance system in a connected vehicle environment

Wenjing Zhao et al.

Summary: This study integrates seven ADAS functions into an integrated advanced driving assistance system (iADAS) in a connected vehicle (CV) environment, enhancing driving and safety performance through real-time collaboration and coordination.

EXPERT SYSTEMS WITH APPLICATIONS (2024)

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Review Computer Science, Cybernetics

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

Weimin Liu et al.

Summary: This review summarizes and analyzes previously published studies on the effects of additional semantic information delivered through in-vehicle HMIs. The additional semantic information are categorized into three aspects: mode awareness enhancement, situation awareness enhancement, and takeover maneuver assistance. The specificity and concerns of applying additional information to in-vehicle HMIs have been detailed analyzed throughout the article.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2023)

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Article Computer Science, Cybernetics

Toward Hazard or Action? Effects of Directional Vibrotactile Takeover Requests on Takeover Performance in Automated Driving

Jinlei Shi et al.

Summary: This study investigated the effectiveness of directional vibrotactile takeover requests (TORs) in distracted drivers. The findings showed that directional TORs were more effective than non-directional TORs when drivers were engaged in non-driving related tasks. However, there was no significant difference between directional and non-directional TORs when drivers monitored the road.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2023)

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Article Transportation Science & Technology

Transitioning to multi-dimensional estimation of visual distraction and its safety effects under automated driving: A spatiotemporal and directional estimation approach

Song Wang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2023)

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Article Energy & Fuels

Enhancing Acceptance and Trust in Automated Driving trough Virtual Experience on a Driving Simulator

Philipp Clement et al.

Summary: This study aims to measure the degree of trust humans have in automated driving functionalities using psychology and tailor-made studies. By using a driving simulator, the study found that trust significantly increases after exposure to driving automation. Less experienced individuals showed a higher increase in trust and benefit more from the exercise. This study contributes to quantifying the evaluation and acceptance of driving automation.

ENERGIES (2022)

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Article Psychology, Applied

Assessing the effect of long-automated driving operation, repeated take-over requests, and driver's characteristics on commercial motor vehicle drivers' driving behavior and reaction time in highly automated vehicles

Ali Riahi Samani et al.

Summary: This paper aims to investigate the behavioral changes of CMV drivers after transitioning to manual driving and assess the impact of automated driving duration, repeated take-over requests (TORs), and driver characteristics. Results from a driving simulator experiment show that driving behavior significantly changes after the transition from automated to manual driving, regardless of the number of TORs and the duration of automated driving. The findings provide valuable insights for automotive companies and transportation planners in understanding the nature of driver behavior changes after automated driving episodes in highly automated vehicles.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2022)

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Article Computer Science, Cybernetics

Effects of Non-Speech Auditory Cues on Control Transition Behaviors in Semi-Automated Vehicles: Empirical Study, Modeling, and Validation

Sangjin Ko et al.

Summary: In semi-automated vehicles, the effects of different non-speech auditory warnings on driver performance were investigated, with traditional warning sounds with many repetitions and indicator sounds with decreasing polarity outperforming and being preferred. Additionally, a mathematical model using the Queuing Network-Model Human Processor (QN-MHP) framework was applied to quantify the effects of auditory warnings' acoustic characteristics on drivers' reaction times, explaining 99.7% of the experimental data with a root mean square error (RMSE) of 0.148. This study can contribute to establishing standards and design guidelines for takeover request displays in semi-automated vehicles.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2022)

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Article Engineering, Civil

Automated Vehicle Failure: The First Pedestrian Fatality and Public Perception

Hagai Tapiro et al.

Summary: This study examines the impact of an AV accident on the public's perception of AV technology, finding that a high-profile accident can significantly reduce trust, acceptance, and perceived safety levels.

TRANSPORTATION RESEARCH RECORD (2022)

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Article Psychology, Applied

Behavioral adaptations of human drivers interacting with automated vehicles

Shubham Soni et al.

Summary: This study conducted a field test in the Netherlands and found that human drivers accepted smaller critical gaps and maintained shorter headway when interacting with automated vehicles (AVs). Positive information about the AV behavior resulted in closer interactions and increased trust from drivers.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2022)

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Article Engineering, Industrial

Will I start an automated driving system? Report on the emotions, cognition, and intention of drivers who experienced real-world conditional automated driving

Zhenhua Yu et al.

Summary: This study investigates the emotions, cognition, and intention of drivers who experience real-world conditional automated driving. The results show that emotions play a mediating role between cognition, satisfaction, and intention to start automated driving. Drivers experience a range of emotions during conditional automated driving, including positive emotions such as joy, interest, and surprise, as well as medium-level negative emotions like fear and anger. The findings provide suggestions and hints for promoting the development of automated driving.

COGNITION TECHNOLOGY & WORK (2022)

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Article Ergonomics

Driver-initiated take-overs during critical braking maneuvers in automated driving - The role of time headway, traction usage, and trust in automation

Sandra Becker et al.

Summary: The study investigates the predictors of driver-initiated take-overs in automated driving and their impact on traffic safety. Results show that trust in automation and driving situation severity affect the probability of driver-initiated take-overs. Rear-end collisions are associated with traction usage.

ACCIDENT ANALYSIS AND PREVENTION (2022)

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Article Behavioral Sciences

Assessing Drivers' Trust of Automated Vehicle Driving Styles With a Two-Part Mixed Model of Intervention Tendency and Magnitude

John D. Lee et al.

Summary: The study examines how driving styles of fully automated vehicles affect drivers' trust using a statistical technique. The results show that conservative automated driving style increases accelerator pedal inputs, while aggressive style increases brake pedal inputs. The study offers a measure and method for assessing driving styles.

HUMAN FACTORS (2021)

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Article Ergonomics

Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles

Zheng Ma et al.

Summary: The interaction effects between the designed driving style of AV and driver's driving style significantly influence driver's trust, acceptance, and take-over behavior. Driver's trust in AVs affects takeover frequency through driver's acceptance of AVs. Matching the designed AV driving style with driver's own driving style can enhance trust and acceptance, reducing undesired take over behavior.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Psychology, Applied

Impressions after an automated mobility experience: An acceptance study

Nievsabel Molina et al.

Summary: This study reveals that increasing vehicle speed can enhance passenger acceptance of automated vehicles, boosting confidence in the system compared to previous field studies.

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

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Article Computer Science, Cybernetics

Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance

Shu Ma et al.

Summary: The study found that two-stage warning systems showed better situation awareness, lower physiological stress, improved takeover performance, and higher acceptance ratings during takeover. These findings offer guidance for the application of warning systems in automated driving in the future.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2021)

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Review Computer Science, Cybernetics

How to Increase Automated Vehicles' Acceptance through In-Vehicle Interaction Design: A Review

Henrik Detjen et al.

Summary: This paper analyzes the challenges of automated vehicles from a human perspective and summarizes current research on in-car driver-vehicle interaction and related human factor issues. It helps to understand the current state of the art in this field.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2021)

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Article Transportation Science & Technology

To own or not to own - That is the question: The value of owning a (fully automated) vehicle

Zia Wadud et al.

Summary: This paper explores the differences in inherent attractiveness between ownership of autonomous vehicles and automated ride services, especially when considering gender and other car-ownership related characteristics. The study finds that women value vehicle ownership more than ride services, while men may find ownership and ride services equally attractive. Additionally, there is a significant inconvenience value associated with shared/pooled automated ride services compared to exclusive-use ride services.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

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Article Transportation Science & Technology

When the automated driving system fails: Dynamics of public responses to automated vehicles

Zhigang Xu et al.

Summary: This study focuses on the impact of automated driving system (ADS) failures on human-ADS interactions in automated vehicles (AVs). Through a field study, it was found that witnessing ADS malfunctions leads to reductions in trust and other psychological responses to AVs and ADS, as well as an increase in negative affect.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

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Article Transportation

The effect of ride experience on changing opinions toward autonomous vehicle safety

Xiaowei Shi et al.

Summary: The study explores the impact of various factors on people's initial opinions and opinion change towards AV safety, including age, personal income, monthly fuel cost, education experience, daily commute time, driving alone indicator, willingness to pay for AV technology, and previous AV experience. These factors provide important references for future implementations of the AV technology, as well as suggestions for future transportation survey designs based on inconsistent effects across different models.

COMMUNICATIONS IN TRANSPORTATION RESEARCH (2021)

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Article Ergonomics

Older adults' acceptance of fully automated vehicles: Effects of exposure, driving style, age, and driving conditions

Shabnam Haghzare et al.

Summary: This study investigated how factors like exposure to automated vehicle technology, driving style, driving conditions, and age affect older adults' acceptance of fully automated vehicles. Age and driving style were found to significantly impact older adults' acceptance of FAVs, with older age and greater dissimilarity in driving styles associated with lower acceptance. The results suggest that reliability and driving style similarity play an important role in older adults' acceptance of fully automated vehicles.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Ergonomics

Effect of cognitive load on drivers ' State and task performance during automated driving: Introducing a novel method for determining stabilisation time following take-over of control

Vadim Melnicuk et al.

Summary: This research investigates the impact of cognitive load on drivers' physiological state and driving performance during an automated driving to manual control transition scenario, finding that high levels of cognitive load impair driving performance, particularly lateral control of the vehicle; a novel method is introduced to determine stabilisation times of indicators following control transition, showing that driving performance takes longer to normalise after high cognitive load in automated driving.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Psychology, Educational

The Effect of Estimation Methods on SEM Fit Indices

Dexin Shi et al.

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT (2020)

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Article Transportation Science & Technology

Automated vehicle acceptance in China: Social influence and initial trust are key determinants

Tingru Zhang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

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Article Green & Sustainable Science & Technology

The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective

Kum Fai Yuen et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Economics

Passenger opinions of the perceived safety and interaction with automated shuttles: A test ride study with 'hidden' safety steward

Sina Nordhoff et al.

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2020)

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Article Psychology, Applied

User acceptance of automated public transport Valence of an autonomous minibus experience

Christoph Bernhard et al.

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

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Article Ergonomics

Exploring the who, what, when, where, and why of automated vehicle disengagements

Alexandra M. Boggs et al.

ACCIDENT ANALYSIS AND PREVENTION (2020)

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Article Multidisciplinary Sciences

Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches

Song Wang et al.

PLOS ONE (2019)

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Article Engineering, Civil

Roadside Sensing Information Enabled Horizontal Curve Crash Avoidance System Based on Connected and Autonomous Vehicle Technology

Song Wang et al.

TRANSPORTATION RESEARCH RECORD (2019)

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Article Engineering, Civil

Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles considering Dynamic Information Flow Topology

Siyuan Gong et al.

TRANSPORTATION RESEARCH RECORD (2019)

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Article Computer Science, Cybernetics

Evaluating Initial Public Acceptance of Highly and Fully Autonomous Vehicles

Hongwei Liu et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2019)

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Article Computer Science, Cybernetics

Human Problems in Semi-Autonomous Vehicles: Understanding Drivers' Reactions to Off-Nominal Scenarios

Francesca M. Favaro et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2019)

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Article Computer Science, Cybernetics

An Open Road Evaluation of a Self-Driving Vehicle Human-Machine Interface Designed for Visually Impaired Users

Julian Brinkley et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2019)

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Article Environmental Studies

Who will be the early adopters of automated vehicles? Insights from a survey of electric vehicle owners in the United States

Scott Hardman et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2019)

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Review Ergonomics

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Sina Nordhoff et al.

THEORETICAL ISSUES IN ERGONOMICS SCIENCE (2019)

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Article Psychology, Applied

Quality of control takeover following disengagements in semi-automated vehicles

Francesca M. Favaro et al.

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

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Article Ergonomics

Exploring causes and effects of automated vehicle disengagement using statistical modeling and classification tree based on field test data

Song Wang et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

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Article Ergonomics

Full Bayesian conflict-based models for real time safety evaluation of signalized intersections

Mohamed Essa et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

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Article Computer Science, Cybernetics

The Effects of Vibration Patterns of Take-Over Request and Non-Driving Tasks on Taking-Over Control of Automated Vehicles

Jingyan Wan et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2018)

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Article Engineering, Industrial

Driving comfort, enjoyment and acceptance of automated driving - effects of drivers' age and driving style familiarity

Franziska f Hartwich et al.

ERGONOMICS (2018)

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Article Transportation Science & Technology

What drives people to accept automated vehicles? Findings from a field experiment

Zhigang Xu et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)

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Article Psychology, Applied

The role of system description for conditionally automated vehicles

Katja Bloemacher et al.

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

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Article Ergonomics

Psychosocial factors associated with intended use of automated vehicles: A simulated driving study

Lisa Buckley et al.

ACCIDENT ANALYSIS AND PREVENTION (2018)

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Proceedings Paper Behavioral Sciences

Trust in automation - Before and after the experience of take-over scenarios in a highly automated vehicle

Christian Gold et al.

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

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Article Psychology, Multidisciplinary

A Double-Structure Structural Equation Model for Three-Mode Data

Jorge Gonzalez et al.

PSYCHOLOGICAL METHODS (2008)

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Evidence of automated vehicle safety's influence on people's acceptance of the automated driving technology

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