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The Intricacies of Trust and Safety in Semi-Autonomous Vehicles: A Conceptual Model for Research and Development
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Anthropomorphizing information to enhance trust in autonomous vehicles
inferredcites →https://doi.org/10.1002/jrsm.1123openalex-extracted
A scoping review of scoping reviews: advancing the approach and enhancing the consistency
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Do You Shift or Not? Influence of Trajectory Behaviour on Perceived Safety During Automated Driving on Rural Roads
inferredcites →https://doi.org/10.1007/978-3-030-77726-5_3openalex-extracted
Acceptance of Autonomous Vehicles: An Overview of User-Specific, Car-Specific and Contextual Determinants
inferredcites →https://doi.org/10.1007/978-3-030-79763-8_30openalex-extracted
Effects of Non-driving Task Related Workload and Situational Awareness in Semi-autonomous Vehicles
inferredcites →https://doi.org/10.1007/978-3-319-40503-2_7openalex-extracted
Shifting Paradigms and Conceptual Frameworks for Automated Driving
inferredcites →https://doi.org/10.1007/978-3-319-64816-3_9openalex-extracted
Trustworthiness of Autonomous Systems
inferredcites →https://doi.org/10.1007/978-3-319-96074-6_25openalex-extracted
Can Simple Anthropomorphism Change People’s Perception of Self-driving Vehicle Accidents?
inferredcites →https://doi.org/10.1007/978-3-319-96074-6_8openalex-extracted
Keeping the Driver in the Loop: The ‘Other’ Ethics of Automation
inferredcites →https://doi.org/10.1007/978-981-19-1142-2_10openalex-extracted
Explainable Artificial Intelligence (XAI): Connecting Artificial Decision-Making and Human Trust in Autonomous Vehicles
inferredcites →https://doi.org/10.1007/s00146-020-01004-zopenalex-extracted
A taxonomy of human–machine collaboration: capturing automation and technical autonomy
inferredcites →https://doi.org/10.1007/s00146-022-01391-5openalex-extracted
Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence
inferredcites →https://doi.org/10.1007/s10111-018-0484-0openalex-extracted
How can humans understand their automated cars? HMI principles, problems and solutions
inferredcites →https://doi.org/10.1007/s10677-018-9896-4openalex-extracted
Never Mind the Trolley: The Ethics of Autonomous Vehicles in Mundane Situations
inferredcites →https://doi.org/10.1007/s11263-022-01657-xopenalex-extracted
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges
inferredcites →https://doi.org/10.1016/j.aap.2018.03.013openalex-extracted
Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving
inferredcites →https://doi.org/10.1016/j.aap.2018.08.018openalex-extracted
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inferredcites →https://doi.org/10.1016/j.aap.2019.02.005openalex-extracted
Risk of automated driving: Implications on safety acceptability and productivity
inferredcites →https://doi.org/10.1016/j.aap.2019.04.015openalex-extracted
Exploring causes and effects of automated vehicle disengagement using statistical modeling and classification tree based on field test data
inferredcites →https://doi.org/10.1016/j.aap.2019.105406openalex-extracted
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inferredcites →https://doi.org/10.1016/j.aap.2020.105543openalex-extracted
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inferredcites →https://doi.org/10.1016/j.aap.2020.105783openalex-extracted
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inferredcites →https://doi.org/10.1016/j.aap.2021.106017openalex-extracted
Automated vehicle crash sequences: Patterns and potential uses in safety testing
inferredcites →https://doi.org/10.1016/j.aap.2021.106515openalex-extracted
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles
inferredcites →https://doi.org/10.1016/j.aap.2022.106566openalex-extracted
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inferredcites →https://doi.org/10.1016/j.aap.2022.106593openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apergo.2016.09.005openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apergo.2017.07.006openalex-extracted
Introduction matters: Manipulating trust in automation and reliance in automated driving
inferredcites →https://doi.org/10.1016/j.apergo.2017.11.010openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apergo.2018.04.006openalex-extracted
An interview study exploring Tesla drivers' behavioural adaptation
inferredcites →https://doi.org/10.1016/j.apergo.2021.103428openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apergo.2022.103962openalex-extracted
The interaction between perceived safety and perceived usefulness in automated parking as a result of safety distance
inferredcites →https://doi.org/10.1016/j.chb.2021.107015openalex-extracted
Polite speech strategies and their impact on drivers’ trust in autonomous vehicles
inferredcites →https://doi.org/10.1016/j.cities.2021.103144openalex-extracted
The societal dimension of the automated vehicles transition: Towards a research agenda
inferredcites →https://doi.org/10.1016/j.jengtecman.2018.04.006openalex-extracted
Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars
inferredcites →https://doi.org/10.1016/j.jsr.2023.11.015openalex-extracted
The monitoring requests on young driver’s fatigue and take-over performance in prolonged conditional automated driving
inferredcites →https://doi.org/10.1016/j.proeng.2011.11.2618openalex-extracted
An Overview of Conceptual Model for Simulation and Its Validation
inferredcites →https://doi.org/10.1016/j.ssci.2019.05.035openalex-extracted
Adaptation as a source of safety in complex socio-technical systems: A literature review and model development
inferredcites →https://doi.org/10.1016/j.ssci.2020.104845openalex-extracted
Driver trust & mode confusion in an on-road study of level-2 automated vehicle technology
inferredcites →https://doi.org/10.1016/j.techfore.2015.12.014openalex-extracted
Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices
inferredcites →https://doi.org/10.1016/j.techfore.2019.119827openalex-extracted
Public attitude toward self-driving vehicles on public roads: Direct experience changed ambivalent people to be more positive
inferredcites →https://doi.org/10.1016/j.techfore.2020.120093openalex-extracted
How challenges of human reliability will hinder the deployment of semi-autonomous vehicles
inferredcites →https://doi.org/10.1016/j.tra.2018.03.005openalex-extracted
It takes two to Tango: Automated vehicles and human beings do the dance of driving – Four social considerations for policy
inferredcites →https://doi.org/10.1016/j.tra.2018.06.033openalex-extracted
Connected and autonomous vehicles: A cyber-risk classification framework
inferredcites →https://doi.org/10.1016/j.tra.2022.08.022openalex-extracted
Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles
inferredcites →https://doi.org/10.1016/j.trc.2018.07.024openalex-extracted
What drives people to accept automated vehicles? Findings from a field experiment
inferredcites →https://doi.org/10.1016/j.trc.2018.11.018openalex-extracted
The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
inferredcites →https://doi.org/10.1016/j.trc.2019.08.020openalex-extracted
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inferredcites →https://doi.org/10.1016/j.trc.2021.102973openalex-extracted
How internal and external risks affect the relationships between trust and driver behavior in automated driving systems
inferredcites →https://doi.org/10.1016/j.trc.2024.104491openalex-extracted
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inferredcites →https://doi.org/10.1016/j.trf.2012.12.006openalex-extracted
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inferredcites →https://doi.org/10.1016/j.trf.2014.06.016openalex-extracted
Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence
inferredcites →https://doi.org/10.1016/j.trf.2016.01.011openalex-extracted
Secondary task engagement and vehicle automation – Comparing the effects of different automation levels in an on-road experiment
inferredcites →https://doi.org/10.1016/j.trf.2018.07.020openalex-extracted
Interaction between pedestrians and automated vehicles: A Wizard of Oz experiment
inferredcites →https://doi.org/10.1016/j.trf.2018.07.025openalex-extracted
Situation awareness increases when drivers have more time to take over the wheel in a Level 3 automated car: A simulator study
inferredcites →https://doi.org/10.1016/j.trf.2019.02.009openalex-extracted
Investigation of older drivers’ requirements of the human-machine interaction in highly automated vehicles
inferredcites →https://doi.org/10.1016/j.trf.2019.08.013openalex-extracted
Real autonomous driving from a passenger’s perspective: Two experimental investigations using gaze behaviour and trust ratings in field and simulator
inferredcites →https://doi.org/10.1016/j.trf.2019.09.001openalex-extracted
How does training effect users’ attitudes and skills needed for highly automated driving?
inferredcites →https://doi.org/10.1016/j.trf.2020.09.019openalex-extracted
Exploring expert perceptions about the cyber security and privacy of Connected and Autonomous Vehicles: A thematic analysis approach
inferredcites →https://doi.org/10.1016/j.trf.2020.10.011openalex-extracted
Challenges for automated vehicle driver training: A thematic analysis from manual and automated driving
inferredcites →https://doi.org/10.1016/j.trf.2020.12.015openalex-extracted
Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability
inferredcites →https://doi.org/10.1016/j.trf.2021.05.004openalex-extracted
Trust and intention to use autonomous vehicles: Manufacturer focus and passenger control
inferredcites →https://doi.org/10.1016/j.trf.2021.05.018openalex-extracted
Objective and perceived risk in overtaking: The impact of driving context
inferredcites →https://doi.org/10.1016/j.trf.2021.06.013openalex-extracted
Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles
inferredcites →https://doi.org/10.1016/j.trf.2022.01.009openalex-extracted
The effect of the dominance of an in-vehicle agent’s voice on driver situation awareness, emotion regulation, and trust: A simulated lab study of manual and automated driving
inferredcites →https://doi.org/10.1016/j.trf.2022.07.010openalex-extracted
Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality
inferredcites →https://doi.org/10.1016/j.trf.2022.08.011openalex-extracted
Can we adapt to highly automated vehicles as passengers? The mediating effect of trust and situational awareness on role adaption moderated by automated driving style
inferredcites →https://doi.org/10.1016/j.trf.2023.01.012openalex-extracted
“You’re a Cop and You Gotta Help Me!”: How the type of automated vehicles and collision algorithms influence individuals’ attitudes toward the vehicles
inferredcites →https://doi.org/10.1016/j.trf.2023.08.005openalex-extracted
What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle
inferredcites →https://doi.org/10.1016/j.trf.2023.09.001openalex-extracted
How does drivers’ trust in vehicle automation affect non-driving-related task engagement, vigilance, and initiative takeover performance after experiencing system failure?
inferredcites →https://doi.org/10.1016/j.trf.2023.09.015openalex-extracted
Regular looks out the window do not maintain situation awareness in highly automated driving
inferredcites →https://doi.org/10.1016/j.trf.2023.10.023openalex-extracted
Misuse or abuse of automation? Exploring drivers’ intentions to nap during automated driving
inferredcites →https://doi.org/10.1016/j.trf.2023.12.010openalex-extracted
Monitoring driver drowsiness in partially automated vehicles: Added value from combining postural and physiological indicators
inferredcites →https://doi.org/10.1016/j.trip.2020.100201openalex-extracted
Trusting autonomous vehicles: An interdisciplinary approach
inferredcites →https://doi.org/10.1016/j.trip.2021.100337openalex-extracted
A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles
inferredcites →https://doi.org/10.1016/s0378-7206(01)00143-4openalex-extracted
Why do people use information technology? A critical review of the technology acceptance model
inferredcites →https://doi.org/10.1049/iet-its.2009.0151openalex-extracted
‘Intelligent’ in-vehicle intelligent transport systems: limiting behavioural adaptation through adaptive design
inferredcites →https://doi.org/10.1049/iet-its.2019.0018openalex-extracted
Long automated driving phase affects take‐over performance
inferredcites →https://doi.org/10.1073/pnas.1805770115openalex-extracted
On the future of transportation in an era of automated and autonomous vehicles
inferredcites →https://doi.org/10.1080/00140139.2018.1457725openalex-extracted
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction
inferredcites →https://doi.org/10.1080/00140139.2020.1739326openalex-extracted
The perils of perfect performance; considering the effects of introducing autonomous vehicles on rates of car vs cyclist conflict
inferredcites →https://doi.org/10.1080/00140139208967392openalex-extracted
Trust, control strategies and allocation of function in human-machine systems
inferredcites →https://doi.org/10.1080/01441647.2018.1494640openalex-extracted
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
inferredcites →https://doi.org/10.1080/01441647.2019.1545286openalex-extracted
Long-term implications of automated vehicles: an introduction
inferredcites →https://doi.org/10.1080/0144929x.2020.1846789openalex-extracted
Examining the effects of power status of an explainable artificial intelligence system on users’ perceptions
inferredcites →https://doi.org/10.1080/10447318.2015.1070547openalex-extracted
Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems
inferredcites →https://doi.org/10.1080/10447318.2015.1070549openalex-extracted
Investigating the Importance of Trust on Adopting an Autonomous Vehicle
inferredcites →https://doi.org/10.1080/10447318.2018.1561784openalex-extracted
“Human” Problems in Semi-Autonomous Vehicles: Understanding Drivers’ Reactions to Off-Nominal Scenarios
inferredcites →https://doi.org/10.1080/10447318.2018.1561791openalex-extracted
Evaluating Initial Public Acceptance of Highly and Fully Autonomous Vehicles
inferredcites →https://doi.org/10.1080/10447318.2019.1572353openalex-extracted
In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles
inferredcites →https://doi.org/10.1080/10447318.2019.1634317openalex-extracted
Takeover Transition in Autonomous Vehicles: A YouTube Study
inferredcites →https://doi.org/10.1080/10447318.2022.2070107openalex-extracted
Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM)
inferredcites →https://doi.org/10.1080/10447318.2022.2098965openalex-extracted
Tactical-Level Explanation is Not Enough: Effect of Explaining AV’s Lane-Changing Decisions on Drivers’ Decision-Making, Trust, and Emotional Experience
inferredcites →https://doi.org/10.1080/1463922x.2017.1315750openalex-extracted
Situation awareness-based agent transparency and human-autonomy teaming effectiveness
inferredcites →https://doi.org/10.1080/15472450.2017.1291351openalex-extracted
Policy and society related implications of automated driving: A review of literature and directions for future research
inferredcites →https://doi.org/10.1109/access.2021.3050005openalex-extracted
Combined Trajectory Planning and Tracking for Autonomous Vehicle Considering Driving Styles
inferredcites →https://doi.org/10.1109/access.2022.3196941openalex-extracted
TrustFSDV: Framework for Building and Maintaining Trust in Self-Driving Vehicles
inferredcites →https://doi.org/10.1109/cogsima.2016.7497804openalex-extracted
Will passengers trust driverless vehicles? Removing the steering wheel and pedals
inferredcites →https://doi.org/10.1109/dasc.2017.8102124openalex-extracted
Application of human-autonomy teaming to an advanced ground station for reduced crew operations
inferredcites →https://doi.org/10.1109/hsi49210.2020.9142686openalex-extracted
Risk and Trust in artificial intelligence technologies: A case study of Autonomous Vehicles
inferredcites →https://doi.org/10.1109/iv47402.2020.9304844openalex-extracted
Introspective Black Box Failure Prediction for Autonomous Driving
inferredcites →https://doi.org/10.1109/iv48863.2021.9575937openalex-extracted
Trajectory-Based Failure Prediction for Autonomous Driving
inferredcites →https://doi.org/10.1109/ivs.2019.8814126openalex-extracted
Specific Feedback Matters - The Role of Specific Feedback in the Development of Trust in Automated Driving Systems
inferredcites →https://doi.org/10.1109/iwcmc55113.2022.9824617openalex-extracted
Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving
inferredcites →https://doi.org/10.1109/jproc.2017.2725339openalex-extracted
Privacy and Integrity Considerations in Hyperconnected Autonomous Vehicles
inferredcites →https://doi.org/10.1109/smc.2017.8122757openalex-extracted
Trust in autonomous vehicles: The case of Tesla Autopilot and Summon
inferredcites →https://doi.org/10.1109/thms.2022.3205880openalex-extracted
To Inform or to Instruct? An Evaluation of Meaningful Vibrotactile Patterns to Support Automated Vehicle Takeover Performance
inferredcites →https://doi.org/10.1109/tits.2017.2665968openalex-extracted
Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges
inferredcites →https://doi.org/10.1109/tits.2019.2949915openalex-extracted
A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety
inferredcites →https://doi.org/10.1109/tits.2020.2988303openalex-extracted
Autonomous Driving Learning Preference of Collision Avoidance Maneuvers
inferredcites →https://doi.org/10.1109/tits.2020.3036984openalex-extracted
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
inferredcites →https://doi.org/10.1109/tits.2020.3044813openalex-extracted
Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information
inferredcites →https://doi.org/10.1109/tits.2021.3074854openalex-extracted
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
inferredcites →https://doi.org/10.1109/tits.2022.3207347openalex-extracted
Use of Social Interaction and Intention to Improve Motion Prediction Within Automated Vehicle Framework: A Review
inferredcites →https://doi.org/10.1109/tits.2022.3212280openalex-extracted
Do Automated Vehicles Reduce the Risk of Crashes–Dream or Reality?
inferredcites →https://doi.org/10.1109/tits.2022.3220961openalex-extracted
What Do Traffic Simulations Have to Provide for Virtual Road Safety Assessment? Human Error Modeling in Traffic Simulations
inferredcites →https://doi.org/10.1109/tits.2022.3227176openalex-extracted
Impacts of Connected and Automated Vehicles on Road Safety and Efficiency: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/tits.2023.3236274openalex-extracted
Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence
inferredcites →https://doi.org/10.1109/tits.2023.3286454openalex-extracted
Learning Safe and Human-Like High-Level Decisions for Unsignalized Intersections From Naturalistic Human Driving Trajectories
inferredcites →https://doi.org/10.1109/tiv.2016.2555626openalex-extracted
Humans and Intelligent Vehicles: The Hope, the Help, and the Harm
inferredcites →https://doi.org/10.1109/tiv.2017.2749178openalex-extracted
Displaying System Situation Awareness Increases Driver Trust in Automated Driving
inferredcites →https://doi.org/10.1109/tiv.2020.3046859openalex-extracted
Automated Vehicles Sharing the Road: Surveying Detection and Localization of Pedalcyclists
inferredcites →https://doi.org/10.1109/tiv.2021.3116436openalex-extracted
Pedestrian Behavior in Shared Spaces With Autonomous Vehicles: An Integrated Framework and Review
inferredcites →https://doi.org/10.1109/tiv.2022.3146622openalex-extracted
Online Maneuver Learning and Its Real-Time Application to Automated Driving System for Obstacles Avoidance
inferredcites →https://doi.org/10.1109/tiv.2022.3200826openalex-extracted
Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic Review
inferredcites →https://doi.org/10.1109/vtcspring.2016.7504447openalex-extracted
Remote Testimony: How to Trust an Autonomous Vehicle
inferredcites →https://doi.org/10.1111/risa.13190openalex-extracted
sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers
inferredcites →https://doi.org/10.1145/2390256.2390264openalex-extracted
Predicting information technology usage in the car
inferredcites →https://doi.org/10.1145/3369457.3369493openalex-extracted
Understanding Trust in Automated Vehicles
inferredcites →https://doi.org/10.1145/3377325.3377506openalex-extracted
Driver drowsiness in automated and manual driving
inferredcites →https://doi.org/10.1145/3543174.3546830openalex-extracted
Conversational Voice Agents are Preferred and Lead to Better Driving Performance in Conditionally Automated Vehicles
inferredcites →https://doi.org/10.1155/2018/1045186openalex-extracted
Changes in Trust after Driving Level 2 Automated Cars
inferredcites →https://doi.org/10.1177/0018720813482327openalex-extracted
Improving the Driver–Automation Interaction
inferredcites →https://doi.org/10.1177/0018720818824002openalex-extracted
Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality
inferredcites →https://doi.org/10.1177/0018720819853686openalex-extracted
The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency
inferredcites →https://doi.org/10.1177/0170840607088020openalex-extracted
Developing Design Propositions through Research Synthesis
inferredcites →https://doi.org/10.1177/1071181322661002openalex-extracted
Anticipated emotions associated with trust in autonomous vehicles
inferredcites →https://doi.org/10.1177/1541931213601390openalex-extracted
A Heuristic Based Framework for Improving Design of Unmanned Systems by Quantifying and Assessing Operator Trust
inferredcites →https://doi.org/10.1177/1541931213601422openalex-extracted
Behavioral Measurement of Trust in Automation
inferredcites →https://doi.org/10.1177/1555343417695197openalex-extracted
Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S
inferredcites →https://doi.org/10.1177/1748006x211069705openalex-extracted
Reliability assessment of autonomous vehicles based on the safety control structure
inferredcites →https://doi.org/10.1186/s12874-018-0611-xopenalex-extracted
Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach
inferredcites →https://doi.org/10.1287/mnsc.46.2.186.11926openalex-extracted
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
inferredcites →https://doi.org/10.1371/journal.pone.0168054openalex-extracted
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
inferredcites →https://doi.org/10.1371/journal.pone.0215969openalex-extracted
Assessing acceptance of electric automated vehicles after exposure in a realistic traffic environment
inferredcites →https://doi.org/10.3390/app12031438openalex-extracted
Take-Over Requests after Waking in Autonomous Vehicles
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A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications
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Autonomous Vehicles for Smart and Sustainable Cities: An In-Depth Exploration of Privacy and Cybersecurity Implications
inferredcites →https://doi.org/10.3390/joitmc6040106openalex-extracted
Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature
inferredcites →https://doi.org/10.3390/mti2040062openalex-extracted
Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior
inferredcites →https://doi.org/10.3390/mti2040071openalex-extracted
Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface
inferredcites →https://doi.org/10.3390/mti7020010openalex-extracted
Smiles and Angry Faces vs. Nods and Head Shakes: Facial Expressions at the Service of Autonomous Vehicles
inferredcites →https://doi.org/10.3390/s20082259openalex-extracted
Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic
inferredcites →https://doi.org/10.3390/s22249677openalex-extracted
Explainable AI in Scene Understanding for Autonomous Vehicles in Unstructured Traffic Environments on Indian Roads Using the Inception U-Net Model with Grad-CAM Visualization
inferredcites →https://doi.org/10.3390/su12051719openalex-extracted
The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review
inferredcites →https://doi.org/10.4271/2019-01-0123openalex-extracted
Safety Argument Considerations for Public Road Testing of Autonomous Vehicles
inferredcites →https://doi.org/10.4271/2024-01-3748openalex-extracted
THE INFLUENCE OF RISK ON DRIVER TRUST IN AUTONOMOUS DRIVING SYSTEMS
inferredcites →https://doi.org/10.48550/arxiv.1904.02697openalex-extracted
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
inferredcites →https://doi.org/10.5143/jesk.2017.36.2.87openalex-extracted
Technology Acceptance Modeling based on User Experience for Autonomous Vehicles
inferredcites →https://doi.org/10.5430/jnep.v6n5p100openalex-extracted
Theme development in qualitative content analysis and thematic analysis
inferredcites →https://doi.org/10.5860/choice.47-0901openalex-extracted
Qualitative methods for health research
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.