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How Should Automated Vehicles Communicate Critical Situations?
16 references·0 citing·50 second hop
How Should Automated Vehicles Communicate Critical Situations? (2021)How Should Automated Vehicles Communicate…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…Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload (2019)Look who’s talking now: Impli…Evaluating Effect Size in Psychological Research: Sense and Nonsense (2019)Evaluating Effect Size in Psy…Theoretical Considerations and Development of a Questionnaire to Measure Trust in Automation (2018)Theoretical Considerations an…SupportingTrust in Autonomous Driving (2017)SupportingTrust in Autonomous…Investigating user needs for non-driving-related activities during automated driving (2016)Investigating user needs for …Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance (2014)Why did my car just do that? …Trust in Automation (2014)Trust in AutomationBehind the Glass: Driver Challenges and Opportunities for AR Automotive Applications (2014)Behind the Glass: Driver Chal…Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots (2008)Measurement Instruments for t…Foundations for an Empirically Determined Scale of Trust in Automated Systems (2000)Foundations for an Empiricall…Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Humans and Automation: Use, M…A simple procedure for the assessment of acceptance of advanced transport telematics (1997)A simple procedure for the as…Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation (1996)Trust in automation. Part II.…Explanatory Coherence (1989)Explanatory CoherenceDevelopment of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Development of NASA-TLX (Task…The Logic and Limits of Trust (1983)Trust in close relationships. (1985)In The Age of the Smart Machine: The Future of Work and Power. (1989)A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016)Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016)From Here to Autonomy (2016)An Experimental Study of Apparent Behavior (1944)Minds, brains, and programs (1980)Simple Heuristics That Make Us Smart (1999)Acceptance of Healthcare Robots for the Older Population: Review and Future Directions (2009)Social robots for education: A review (2018)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Measurement of Situation Awareness in Dynamic Systems (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)The media equation: how people treat computers, television, and new media like real people and places (1997)Psychological roadblocks to the adoption of self-driving vehicles (2017)From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018)Psychological factors underlying attitudes toward AI tools (2023)Judgment under Uncertainty: Heuristics and Biases (1974)Human Error (1990)A model for types and levels of human interaction with automation (2000)Engineering Psychology and Human Performance (2015)The Measurement of Meaning (1957)Extending the Technology Acceptance Model to assess automation (2011)Intention to use a fully automated car: Attitudes and a priori acceptability (2014)Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems (2017)An Integrative Model Of Organizational Trust (1995)An Integrative Model of Organizational Trust (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization (2020)Judgment under Uncertainty: Heuristics and Biases (1975)Telling more than we can know: Verbal reports on mental processes. (1977)The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Minnesota studies in the philosophy of science (1956)The Scientific Image (1980)Representing and Intervening (1983)Constructing inferences during narrative text comprehension. (1994)The empirical case for two systems of reasoning. (1996)Temporal construal. (2003)The Handbook of Social Psychology (1969)At what sample size do correlations stabilize? (2013)Effect size guidelines for individual differences researchers (2016)Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic (2020)Interpreting Effect Sizes of Education Interventions (2020)Sample Size Justification (2022)The role of trust in automation reliance (2003)Similarities and differences between human–human and human–automation trust: an integrative review (2006)Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014)
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References

  • 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research15,045 cited
  • 1997Humans and Automation: Use, Misuse, Disuse, Abuse4,525 cited
  • 2019Evaluating Effect Size in Psychological Research: Sense and Nonsense3,289 cited
  • 2008Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots3,190 cited
  • 2014Trust in Automation2,799 cited
  • 2000Foundations for an Empirically Determined Scale of Trust in Automated Systems1,792 cited
  • 1989Explanatory Coherence1,074 cited
  • 1996Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation987 cited
  • 1997A simple procedure for the assessment of acceptance of advanced transport telematics867 cited
  • 2014Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance497 cited
  • 2018Theoretical Considerations and Development of a Questionnaire to Measure Trust in Automation312 cited
  • 2016Investigating user needs for non-driving-related activities during automated driving297 cited
  • 2014Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications276 cited
  • 2019The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency

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276 cited
  • 2017SupportingTrust in Autonomous Driving170 cited
  • 2019Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload169 cited
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