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Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
16 references·1 citing·39 second hop
Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles (2022)Modelling perceived risk and trust in dri…Trust in Artificial Intelligence: Meta-Analytic Findings (2021)Trust in Artificial Intellige…“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles (2021)“Baby, you can drive my car”:…Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses (2020)Evolving Trust in Robots: Spe…The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency (2019)The More You Know: Trust Dyna…What drives people to accept automated vehicles? Findings from a field experiment (2018)What drives people to accept …Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving (2018)Automated driving reduces per…Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age (2017)Perceptions of autonomous veh…Automated driving: Safety blind spots (2017)Automated driving: Safety bli…Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle (2015)Trust in Automation – Before …Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study (2015)Learning and development of t…Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015)Investigating the Importance …Trust in Automation (2014)Trust in AutomationYou Want Me to Trust a ROBOT? The Development of a Human–Robot Interaction Trust Scale (2012)You Want Me to Trust a ROBOT?…Trust in Automation: Designing for Appropriate Reliance (2004)Trust in Automation: Designin…The role of trust in information science and technology (2003)The role of trust in informat…An Integrative Model of Organizational Trust (1995)An Integrative Model of Organ…Factors influencing the acceptance of flying cars among rural residents in China (2025)Factors influencing the accep…A QUANTITATIVE APPROACH TO CONTENT VALIDITY1 (1975)An Integrative Model Of Organizational Trust (1995)The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration (2015)Design, development and evaluation of a human-computer trust scale (2019)Trust and TAM in Online Shopping: An Integrated Model1 (2003)From Here to Autonomy (2016)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization (2020)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust (2016)Psychosocial factors associated with intended use of automated vehicles: A simulated driving study (2018)Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Making sense of Cronbach's alpha (2011)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)The social dilemma of autonomous vehicles (2016)How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle (2018)AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles (2020)The theory of planned behavior (1991)Public perceptions of autonomous vehicle safety: An international comparison (2019)Passenger comfort and trust on first-time use of a shared autonomous shuttle vehicle (2020)Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Attitudes and Predicting Social Behavior (1980)What’s Driving Me? 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References

  • 1995An Integrative Model of Organizational Trust10,705 cited
  • 2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
  • 2014Trust in Automation2,799 cited
  • 2015Investigating the Importance of Trust on Adopting an Autonomous Vehicle1,208 cited
  • 2017Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age699 cited
  • 2018What drives people to accept automated vehicles? Findings from a field experiment634 cited
  • 2021Trust in Artificial Intelligence: Meta-Analytic Findings392 cited
  • 2015Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle346 cited
  • 2019The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency276 cited
  • 2012You Want Me to Trust a ROBOT? The Development of a Human–Robot Interaction Trust Scale241 cited
  • 2020Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses234 cited
  • 2017Automated driving: Safety blind spots228 cited
  • 2015Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study216 cited
  • 2003The role of trust in information science and technology204 cited

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  • 2021“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles195 cited
  • 2018Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving161 cited
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    • 2025Factors influencing the acceptance of flying cars among rural residents in China9 cited