The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
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Wei Zhang | Xingda Qu | R. Lin | D. Tao | Tingru Zhang | Xiaoyan Zhang
[1] J. Krems,et al. The first impression counts – A combined driving simulator and test track study on the development of trust and acceptance of highly automated driving , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.
[2] Zhigang Xu,et al. Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions , 2018, Risk analysis : an official publication of the Society for Risk Analysis.
[3] Xingda Qu,et al. Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users , 2018, Computers, informatics, nursing : CIN.
[4] George Dimitrakopoulos,et al. An empirical investigation on consumers’ intentions towards autonomous driving , 2018, Transportation Research Part C: Emerging Technologies.
[5] Zhen Wang,et al. What drives people to accept automated vehicles? Findings from a field experiment , 2018, Transportation Research Part C: Emerging Technologies.
[6] Sabyasachee Mishra,et al. Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations , 2018, Transportation Research Part C: Emerging Technologies.
[7] Ali Shamshiripour,et al. Eliciting preferences for adoption of fully automated vehicles using best-worst analysis , 2018, Transportation Research Part C: Emerging Technologies.
[8] A. Pradhan,et al. Psychosocial factors associated with intended use of automated vehicles: A simulated driving study. , 2018, Accident; analysis and prevention.
[9] Sarah Sharples,et al. Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System , 2018, Hum. Factors.
[10] Kanwaldeep Kaur,et al. Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars , 2018 .
[11] William J. Horrey,et al. Automated driving: Safety blind spots , 2018 .
[12] Moritz Körber,et al. Introduction matters: Manipulating trust in automation and reliance in automated driving. , 2018, Applied ergonomics.
[13] Jing Feng,et al. Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation. , 2017, Accident; analysis and prevention.
[14] M. R. A. Hamid,et al. Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion , 2017 .
[15] Jian Mou,et al. Trust and Risk in Consumer Acceptance of e-Services: A Meta-Analysis and a Test of Competing Models , 2013, ICIS.
[16] R. Peterson,et al. A Meta-analysis of Online Trust Relationships in E-commerce , 2017 .
[17] Josef F. Krems,et al. Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust , 2017, Hum. Factors.
[18] William Payre,et al. Impact of training and in-vehicle task performance on manual control recovery in an automated car , 2017 .
[19] Andreas Butz,et al. SupportingTrust in Autonomous Driving , 2017, IUI.
[20] Rathindra Sarathy,et al. An experimental investigation of the influence of website emotional design features on trust in unfamiliar online vendors , 2017, Comput. Hum. Behav..
[21] David E. Smith,et al. Shaping Trust Through Transparent Design: Theoretical and Experimental Guidelines , 2017 .
[22] Isabell M. Welpe,et al. How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups , 2016 .
[23] M. Nees. Acceptance of Self-driving Cars , 2016 .
[24] Kara M. Kockelman,et al. Assessing Public Opinions of and Interest in New Vehicle Technologies: An Austin Perspective , 2016 .
[25] Josef F. Krems,et al. Keep Your Scanners Peeled , 2016, Hum. Factors.
[26] Riender Happee,et al. Conceptual Model to Explain, Predict, and Improve User Acceptance of Driverless Podlike Vehicles , 2016 .
[27] Yogesh Kumar Dwivedi,et al. Cronfa - Swansea University Open Access Repository , 2017 .
[28] Liu Liu,et al. Exploring consumer perceived risk and trust for online payments: An empirical study in China's younger generation , 2015, Comput. Hum. Behav..
[29] Yong Gu Ji,et al. Investigating the Importance of Trust on Adopting an Autonomous Vehicle , 2015, Int. J. Hum. Comput. Interact..
[30] Riender Happee,et al. Public opinion on automated driving: results of an international questionnaire among 5000 respondents , 2015 .
[31] Masooda Bashir,et al. Trust in Automation , 2015, Hum. Factors.
[32] Martin Zsifkovits,et al. Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles , 2015, Central Eur. J. Oper. Res..
[33] Klaus Bengler,et al. Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle☆ , 2015 .
[34] Daniel J. Fagnant,et al. Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations , 2015 .
[35] Andrina Granic,et al. Technology acceptance model: a literature review from 1986 to 2013 , 2014, Universal Access in the Information Society.
[36] William Payre,et al. Intention to use a fully automated car: attitudes and a priori acceptability , 2014 .
[37] Sajad Rezaei,et al. User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust , 2014 .
[38] N. Epley,et al. The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle , 2014 .
[39] Tiago Oliveira,et al. Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application , 2014, Int. J. Inf. Manag..
[40] P. Suresh,et al. REDUCTION OF VEHICULAR POLLUTION THROUGH FUEL ECONOMY IMPROVEMENT WITH THE USE OF AUTONOMOUS SELF-DRIVING PASSENGER CARS , 2014 .
[41] Natasha Merat,et al. Highly Automated Driving, Secondary Task Performance, and Driver State , 2012, Hum. Factors.
[42] Patricia Delhomme,et al. Simulator Training With a Forward Collision Warning System , 2012, Hum. Factors.
[43] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[44] Linda Ng Boyle,et al. Extending the Technology Acceptance Model to assess automation , 2011, Cognition, Technology & Work.
[45] Lu Wang,et al. The Effects of Design Features on Users’ Trust in and Reliance on a Combat Identification System , 2011 .
[46] José Manuel Ortega Egea,et al. Explaining physicians' acceptance of EHCR systems: An extension of TAM with trust and risk factors , 2011, Comput. Hum. Behav..
[47] Janet E. Miller,et al. Designing for Human-Centered Systems: Situational Risk as a Factor of Trust in Automation , 2010 .
[48] Mark A. Fuller,et al. Clarifying the Integration of Trust and TAM in E-Commerce Environments: Implications for Systems Design and Management , 2010, IEEE Transactions on Engineering Management.
[49] Yung-Ming Li,et al. Increasing trust in mobile commerce through design aesthetics , 2010, Comput. Hum. Behav..
[50] Richard J. Holden,et al. The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.
[51] Hsin Hsin Chang,et al. The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator , 2008, Online Inf. Rev..
[52] H. Raghav Rao,et al. A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..
[53] Shumaila Y. Yousafzai,et al. Technology acceptance: a meta‐analysis of the TAM: Part 2 , 2007 .
[54] John Richardson,et al. Alarm timing, trust and driver expectation for forward collision warning systems. , 2006, Applied ergonomics.
[55] John Richardson,et al. The influence of alarm timing on braking response and driver trust in low speed driving , 2005 .
[56] John D. Lee,et al. Trust in Automation: Designing for Appropriate Reliance , 2004, Hum. Factors.
[57] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[58] P. Pavlou,et al. Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003 .
[59] Charles J. Kacmar,et al. The impact of initial consumer trust on intentions to transact with a web site: a trust building model , 2002, J. Strateg. Inf. Syst..
[60] Albert L. Lederer,et al. The technology acceptance model and the World Wide Web , 2000, Decis. Support Syst..
[61] Fred D. Davis,et al. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.
[62] V. Mitchell. Consumer perceived risk: conceptualisations and models , 1999 .
[63] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[64] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[65] T. Raykov. Estimation of Composite Reliability for Congeneric Measures , 1997 .
[66] Raja Parasuraman,et al. Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.
[67] Timothy C. Earle,et al. Social Trust , 1995 .
[68] Girish H. Subramanian,et al. A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .
[69] I. Ajzen. The theory of planned behavior , 1991 .
[70] Fred D. Davis,et al. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .
[71] P. M. Podsakoff,et al. Self-Reports in Organizational Research: Problems and Prospects , 1986 .
[72] C. Fornell,et al. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .