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Effects of Scene Detection, Scene Prediction, and Maneuver Planning Visualizations on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles
16 references·0 citing·47 second hop
Effects of Scene Detection, Scene Prediction, and Maneuver Planning Visualizations on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles (2022)Effects of Scene Detection, Scene Predict…Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces (2020)Taming the eHMI jungle: A cla…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…Local Standards for Sample Size at CHI (2016)Local Standards for Sample Si…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 AutomationTransition to manual: Driver behaviour when resuming control from a highly automated vehicle (2014)Transition to manual: Driver …Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014)Effects of adaptive cruise co…A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia (2014)A survey of public opinion ab…Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving (2013)Presenting system uncertainty…Improving the Driver–Automation Interaction (2013)Improving the Driver–Automati…A Comparative Analysis of Sagat and Sart for Evaluations of Situation Awareness (1998)A Comparative Analysis of Sag…Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation (1996)Trust in automation. Part II.…An Integrative Model of Organizational Trust (1995)An Integrative Model of Organ…The halo effect: Evidence for unconscious alteration of judgments. (1977)The halo effect: Evidence for…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)Forming impressions of personality. (1946)What is beautiful is good. (1972)Telling more than we can know: Verbal reports on mental processes. (1977)A Schematic Processing Model of Sex Typing and Stereotyping in Children (1981)Objectivity in the Eye of the Beholder: Divergent Perceptions of Bias in Self Versus Others. (2004)Stereotype Content: Warmth and Competence Endure (2018)Level of automation effects on performance, situation awareness and workload in a dynamic control task (1999)Autonomous Vehicles: Disengagements, Accidents and Reaction Times (2016)A human factors perspective on automated driving (2017)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)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Fixed- and random-effects models in meta-analysis. (1998)Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)An Integrative Model Of Organizational Trust (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)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)The Discovery of Grounded Theory: Strategies for Qualitative Research. (1968)The Essential Guide to Effect Sizes (2010)The weirdest people in the world? (2010)The Experience Sampling Method on Mobile Devices (2017)Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period (2018)Reliability and Inter-rater Reliability in Qualitative Research (2019)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)Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction (2018)How trust can drive forward the user acceptance to the technology? 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References

  • 1995An Integrative Model of Organizational Trust10,705 cited
  • 2019Evaluating Effect Size in Psychological Research: Sense and Nonsense3,289 cited
  • 2014Trust in Automation2,799 cited
  • 1977The halo effect: Evidence for unconscious alteration of judgments.2,015 cited
  • 1996Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation987 cited
  • 2014Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence740 cited
  • 2016Local Standards for Sample Size at CHI656 cited
  • 2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
  • 2014Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance497 cited
  • 2014A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia398 cited
  • 2020Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces316 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
  • 1998

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A Comparative Analysis of Sagat and Sart for Evaluations of Situation Awareness
289 cited
  • 2013Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving284 cited
  • 2013Improving the Driver–Automation Interaction283 cited
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