SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Real autonomous driving from a passenger’s perspective: Two experimental investigations using gaze behaviour and trust ratings in field and simulator
16 references·1 citing·47 second hop
Real autonomous driving from a passenger’s perspective: Two experimental investigations using gaze behaviour and trust ratings in field and simulator (2019)Real autonomous driving from a passenger’…Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting (2019)Proceedings of the Human Fact…What drives people to accept automated vehicles? Findings from a field experiment (2018)What drives people to accept …Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Introduction matters: Manipul…Keep Your Scanners Peeled (2016)Keep Your Scanners PeeledInformation and Communication Technologies in Tourism 2016 (2016)Information and Communication…2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2016)2016 11th ACM/IEEE Internatio…Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle (2015)Trust in Automation – Before …Review of Eye-related Measures of Drivers’ Mental Workload (2015)Review of Eye-related Measure…Trust in Automation (2014)Trust in AutomationPublic Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Public Opinion on Automated D…The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information (2013)The evolution of mental model…Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions (2013)Behavioural changes in driver…Control Task Substitution in Semiautomated Driving (2012)Control Task Substitution in …Visual attention and the transition from novice to advanced driver (2007)Visual attention and the tran…Foundations for an Empirically Determined Scale of Trust in Automated Systems (2000)Foundations for an Empiricall…A Social Capital Framework for Understanding the Socialization of Racial Minority Children and Youths (1997)A Social Capital Framework fo…Improving Passenger Experience and Trust in Automated Vehicles Through User-Adaptive HMIs: “The More the Better” Does Not Apply to Everyone (2021)Improving Passenger Experienc…Social Class Differences in Family-School Relationships: The Importance of Cultural Capital (1987)Cultural Capital: Allusions, Gaps and Glissandos in Recent Theoretical Developments (1988)Funds of knowledge for teaching: Using a qualitative approach to connect homes and classrooms (1992)Applications of Social Capital in Educational Literature: A Critical Synthesis (2002)A Social Capital Framework for the Study of Institutional Agents and Their Role in the Empowerment of Low-Status Students and Youth (2010)Mastering the semi-structured interview and beyond: from research design to analysis and publication (2013)Trust in close relationships. (1985)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)Strategies of Visual Search by Novice and Experienced Drivers (1972)Measurement of Situation Awareness in Dynamic Systems (1995)Mental workload while driving: Effects on visual search, discrimination, and decision making. (2003)Eye movements and visual expertise in chess and medicine (2011)Situation awareness on the road: review, theoretical and methodological issues, and future directions (2011)Cognitive load, working memory capacity and driving performance: A preliminary fNIRS and eye tracking study (2022)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)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)Construct validity in psychological tests. (1955)A power primer. (1992)Constructing validity: Basic issues in objective scale development. (1995)Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S (2017)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)Understanding Attitudes and Predicting Social Behavior (1980)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)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)A theory of human motivation. (1943)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)A THEORY OF HUMAN MOTIVATION (2017)Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age (2017)Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks (2018)Tourism analytics with massive user-generated content: A case study of Barcelona (2015)Creating value from Social Big Data: Implications for Smart Tourism Destinations (2017)Progress in information technology and tourism management: 30 years on and 20 years after the internet - Revisiting Buhalis & Law's landmark study about eTourism (2018)How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving (2014)Evaluating the influence of YouTube advertising for attraction of young customers (2016)Trust in Artificial Intelligence: Meta-Analytic Findings (2021)
this work references cited by second hop

References

  • 2014Trust in Automation2,799 cited
  • 2000Foundations for an Empirically Determined Scale of Trust in Automated Systems1,792 cited
  • 2019Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting1,432 cited
  • 2014Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents1,382 cited
  • 1997A Social Capital Framework for Understanding the Socialization of Racial Minority Children and Youths1,137 cited
  • 2018What drives people to accept automated vehicles? Findings from a field experiment634 cited
  • 2016Information and Communication Technologies in Tourism 2016419 cited
  • 2017Introduction matters: Manipulating trust in automation and reliance in automated driving417 cited
  • 2007Visual attention and the transition from novice to advanced driver375 cited
  • 2016Keep Your Scanners Peeled353 cited
  • 2015Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle346 cited
  • 2013Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions345 cited
  • 2012Control Task Substitution in Semiautomated Driving335 cited
  • 2013The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

328 cited
  • 20162016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)294 cited
  • 2015Review of Eye-related Measures of Drivers’ Mental Workload293 cited
  • Cited by

    • 2021Improving Passenger Experience and Trust in Automated Vehicles Through User-Adaptive HMIs: “The More the Better” Does Not Apply to Everyone52 cited