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An Investigation of Drivers’ Dynamic Situational Trust in Conditionally Automated Driving
16 references·0 citing·36 second hop
An Investigation of Drivers’ Dynamic Situational Trust in Conditionally Automated Driving (2021)An Investigation of Drivers’ Dynamic Situ…Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving (2021)Using Eye-Tracking Data to Pr…Predicting driver takeover performance in conditionally automated driving (2020)Predicting driver takeover pe…Adaptive trust calibration for human-AI collaboration (2020)Adaptive trust calibration fo…Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)Determinants of take-over tim…Trust and its determinants (2018)Trust and its determinantsThe roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)The roles of initial trust an…Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust (2016)Prior Familiarization With Ta…Keep Your Scanners Peeled (2016)Keep Your Scanners PeeledTrust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle (2015)Trust in Automation – Before …Engineering Psychology and Human Performance (2015)Engineering Psychology and Hu…Trust in Automation (2014)Trust in AutomationThe evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information (2013)The evolution of mental model…Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Complacency and Bias in Human…Trust in Automation: Designing for Appropriate Reliance (2004)Trust in Automation: Designin…The role of trust in automation reliance (2003)The role of trust in automati…Foundations for an Empirically Determined Scale of Trust in Automated Systems (2000)Foundations for an Empiricall…Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty (1982)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)Artificial Intelligence and Management: The Automation-Augmentation Paradox (2020)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)The Handbook of Social Psychology (1969)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Automation bias: a systematic review of frequency, effect mediators, and mitigators (2011)Trust in close relationships. (1985)Trust In and Adoption of Online Recommendation Agents (2005)Similarities and differences between human–human and human–automation trust: an integrative review (2006)An Integrative Model Of Organizational Trust (1995)An Integrative Model of Organizational Trust (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)From Here to Autonomy (2016)Trust in AI and Its Role in the Acceptance of AI Technologies (2022)Construct validity in psychological tests. (1955)A power primer. (1992)Constructing validity: Basic issues in objective scale development. (1995)Theoretical Considerations and Development of a Questionnaire to Measure Trust in Automation (2018)Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Adoption of AI-based chatbots for hospitality and tourism (2020)Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020)Bias in meta-analysis detected by a simple, graphical test (1997)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving (2021)Toward a Theory of Situation Awareness in Dynamic Systems (1995)A model for types and levels of human interaction with automation (2000)Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review (2020)
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References

  • 2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
  • 2015Engineering Psychology and Human Performance4,985 cited
  • 2014Trust in Automation2,799 cited
  • 2000Foundations for an Empirically Determined Scale of Trust in Automated Systems1,792 cited
  • 2010Complacency and Bias in Human Use of Automation: An Attentional Integration1,682 cited
  • 2003The role of trust in automation reliance1,272 cited
  • 2018The roles of initial trust and perceived risk in public’s acceptance of automated vehicles854 cited
  • 2019Determinants of take-over time from automated driving: A meta-analysis of 129 studies436 cited
  • 2016Keep Your Scanners Peeled353 cited
  • 2015Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle346 cited
  • 2013The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information328 cited
  • 2018Trust and its determinants277 cited
  • 2020Adaptive trust calibration for human-AI collaboration240 cited
  • 2016Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust221 cited
  • 2021Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

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205 cited
  • 2020Predicting driver takeover performance in conditionally automated driving142 cited
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