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Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving
9 references·0 citing·47 second hop
Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving (2019)Augmented Reality Windshield Displays and…Let Me Finish before I Take Over (2018)Let Me Finish before I Take O…Traffic Augmentation as a Means to Increase Trust in Automated Driving Systems (2017)Traffic Augmentation as a Mea…Investigating user needs for non-driving-related activities during automated driving (2016)Investigating user needs for …Visual search tasks (2015)Visual search tasksAugmenting the Driver's View with Peripheral Information on a Windshield Display (2015)Augmenting the Driver's View …Towards Autonomous Cars (2014)Towards Autonomous CarsPublic Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Public Opinion on Automated D…Designing take over scenarios for automated driving (2014)Designing take over scenarios…Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications (2014)Behind the Glass: Driver Chal…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)The theory of planned behavior (1991)Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1 (1992)Literature review on surveys investigating the acceptance of automated vehicles (2017)Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – Extending UTAUT2 with risk perceptions (2020)The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots (2021)The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Engineering Psychology and Human Performance (2015)Analysis of autopilot disengagements occurring during autonomous vehicle testing (2017)The Effects of Lead Time of Take-Over Request and Nondriving Tasks on Taking-Over Control of Automated Vehicles (2018)Automated Driving: A Literature Review of the Take over Request in Conditional Automation (2020)Tradeoffs in displaying peripheral information (2000)Peripheral detection as a workload measure in driving: Effects of traffic complexity and route guidance system use in a driving study (2005)Ergonomic Guidelines of Head-Up Display User Interface during Semi-Automated Driving (2020)The measurement of drivers' mental workload (1996)Driver distraction: A review of the literature (2003)Effects of Semantic Segmentation Visualization on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles (2021)How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A Review (2021)Intelligent In‐Vehicle Interaction Technologies (2021)Comparison of head-up display (HUD) vs. head-down display (HDD): driving performance of commercial vehicle operators in Taiwan (2004)Effects of visual and cognitive load in real and simulated motorway driving (2005)Head-Up vs. Head-Down Displays (2016)“Take over!” How long does it take to get the driver back into the loop? (2013)A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia (2014)How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving (2014)SupportingTrust in Autonomous Driving (2017)From HMI to HMIs: Towards an HMI Framework for Automated Driving (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)An Integrative Model Of Organizational Trust (1995)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Trust in Automation: Designing for Appropriate Reliance (2004)In UX We Trust (2019)A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020 (2021)ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving (2021)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Why do you like to drive automated? (2019)Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios (2021)Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence (2021)A theory of human motivation. (1943)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)Assessing public opinions of and interest in new vehicle technologies: An Austin perspective (2016)A THEORY OF HUMAN MOTIVATION (2017)User preferences regarding autonomous vehicles (2017)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)
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References

  • 2014Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents1,382 cited
  • 2014Towards Autonomous Cars335 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
  • 2014Designing take over scenarios for automated driving156 cited
  • 2017Traffic Augmentation as a Means to Increase Trust in Automated Driving Systems90 cited
  • 2018Let Me Finish before I Take Over69 cited
  • 2015Augmenting the Driver's View with Peripheral Information on a Windshield Display49 cited
  • 2015Visual search tasks46 cited

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