최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Transportation research. Part C, Emerging technologies, v.104, 2019년, pp.428 - 442
Du, Na (University of Michigan) , Haspiel, Jacob (University of Michigan) , Zhang, Qiaoning (University of Michigan) , Tilbury, Dawn (University of Michigan) , Pradhan, Anuj K. (Mechanical and Industrial Engineering, University of Massachusetts Amherst) , Yang, X. Jessie (University of Michigan) , Robert Jr., Lionel P. (University of Michigan)
Abstract Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In this study, we conducted a within-subject experiment in a driving simulator with 32 participants, using four d...
Abraham 2017 Paper presented at the Proceedings of the Transportation Research Board 96th Annual Meeting (TRB'17) Autonomous vehicles and alternatives to driving: trust, preferences, and effects of age
Transp. Res. Proc. Alessandrini 5 145 2015 10.1016/j.trpro.2015.01.002 Automated vehicles and the rethinking of mobility and cities
Bainbridge 129 1983 Analysis, Design and Evaluation of Man-Machine Systems Ironies of automation
Transp. Res. Part C: Emerg. Technol. Bansal 67 1 2016 10.1016/j.trc.2016.01.019 Assessing public opinions of and interest in new vehicle technologies: an Austin perspective
Hum. Fact. Bao 54 5 687 2012 10.1177/0018720812439412 Heavy-truck drivers’ following behavior with intervention of an integrated, in-vehicle crash warning system: a field evaluation
Baxter 1996 Relating: Dialogues and Dialectics
Proc. Manuf. Bazilinskyy 3 2534 2015 An international crowdsourcing study into people's statements on fully automated driving
Hum. Fact. Beller 55 6 1130 2013 10.1177/0018720813482327 Improving the driver-automation interaction: an approach using automation uncertainty
Carmines vol. 17 1979
Transp. Res. Part C: Emerg. Technol. Chen 103 226 2019 10.1016/j.trc.2019.04.013 Designing autonomous vehicle incentive program with uncertain vehicle purchase price
Cohen 1988 Statistical Power Analysis for the Behavioral Sciences
Psychol. Bull. Cohen 112 1 155 1992 10.1037/0033-2909.112.1.155 A power primer
J. Appl. Psychol. Colquitt 97 1 1 2012 10.1037/a0025208 Explaining the justice-performance relationship: trust as exchange deepener or trust as uncertainty reducer?
J. Cogn. Eng. Decis. Mak. de Visser 5 2 209 2011 10.1177/1555343411410160 Adaptive aiding of human-robot teaming: effects of imperfect automation on performance, trust, and workload
Int. J. Hum Comput Stud. de Vries 58 6 719 2003 10.1016/S1071-5819(03)00039-9 The effects of errors on system trust, self-confidence, and the allocation of control in route planning
Desai 73 2012 Proceedings of the Seventh Annual ACM/IEEE International Conference on Human-Robot Interaction Effects of changing reliability on trust of robot systems
Du 2018 Paper presented at the Conference on Autonomous Vehicles in Society: Building a Research Agenda, May 18-19 2018, East Lansing, MI A Cross-cultural study of trust building in autonomous vehicles
Int. J. Hum Comput Stud. Dzindolet 58 6 697 2003 10.1016/S1071-5819(03)00038-7 The role of trust in automation reliance
Injury Epidemiol. Eby 3 1 2016 10.1186/s40621-016-0093-4 Use, perceptions, and benefits of automotive technologies among aging drivers
Ellis 2010 The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results
Behav. Res. Meth. Faul 41 1149 2009 10.3758/BRM.41.4.1149 Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
Behav. Res. Meth. Faul 39 175 2007 10.3758/BF03193146 G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences
J. Mark. Res. Fornell 18 3 382 1981 10.1177/002224378101800313 Structural equation models with unobservable variables and measurement error: algebra and statistics
Forster 365 2017 Intelligent Vehicles Symposium (IV), 2017 IEEE Increasing anthropomorphism and trust in automated driving functions by adding speech output
Fraedrich 1 2016 A Use-Case-Driven Study in Germany User perspectives on autonomous driving
Proc. Human Fact. Ergonom. Soc. Ann. Meet. Ghazizadeh 56 1 2286 2012 10.1177/1071181312561481 Augmenting the technology acceptance model with trust: commercial drivers’ attitudes towards monitoring and feedback
Commun. Monogr. Gudykunst 51 1 23 1984 10.1080/03637758409390181 Individual and cultural influences on uncertainty reduction
Proc. Human Fact. Ergonom. Soc. Ann. Meet. Hart 50 904 2006 10.1177/154193120605000909 NASA-task load index (NASA-TLX): 20 years later
Hart vol. 52 139 1988 Development of NASA-TLX (Task Load Index): results of empirical and theoretical research
Haspiel 119 2018 Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction Explanations and expectations: Trust building in automated vehicles
Helldin 210 2013 Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI ’13, (March 2015) ). Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving
Herlocker 241 2000 Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work Explaining collaborative filtering recommendations
Transp. Res. Part C: Emerg. Technol. Jamson 30 116 2013 10.1016/j.trc.2013.02.008 Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions
Jayaraman 133 2018 Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction Trust in AV: an uncertainty reduction model of AV-pedestrian interactions
Transp. Res. Part C: Emerg. Technol. Katrakazas 60 416 2015 10.1016/j.trc.2015.09.011 Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
J. Eng. Tech. Manage. Kaur 48 87 2018 10.1016/j.jengtecman.2018.04.006 Trust in driverless cars: investigating key factors influencing the adoption of driverless cars
Int. J. Interact. Des. Manuf. (IJIDeM) Koo 9 4 269 2015 10.1007/s12008-014-0227-2 Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance
Int. J. Veh. Des. Koo 70 4 377 2016 10.1504/IJVD.2016.076740 Understanding driver responses to voice alerts of autonomous car operations
Hum. Fact. Korber 60 3 305 2018 10.1177/0018720817747730 Why do I have to drive now? Post hoc explanations of takeover requests
Manage. Commun. Quart. Kramer 13 2 305 1999 10.1177/0893318999132007 Motivation to reduce uncertainty: a reconceptualization of uncertainty reduction theory
Ergonomics Lee 35 10 1243 1992 10.1080/00140139208967392 Trust, control strategies and allocation of function in human-machine systems
Int. J. Hum Comput Stud. Lee 40 1 153 1994 10.1006/ijhc.1994.1007 Trust, self-confidence, and operators' adaptation to automation
Hum. Fact. Lenne 50 1 135 2008 10.1518/001872008X250557 Detection of emergency vehicles: driver responses to advance warning in a driving simulator
Transp. Res. Part C: Emerg. Technol. Liu 103 281 2019 10.1016/j.trc.2019.04.018 Dynamic shared autonomous taxi system considering on-time arrival reliability
Hum. Fact. Madhavan 48 2 241 2006 10.1518/001872006777724408 Automation failures on tasks easily performed by operators undermine trust in automated aids
J. Cogn. Eng. Decis. Mak. Manzey 6 1 57 2012 10.1177/1555343411433844 Human performance consequences of automated decision aids: the impact of degree of automation and system experience
Maurer 2016 Autonomous Driving
Merat 2009 Proceedings of the Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design How do drivers behave in a highly automated car?
Hum. Fact. Mercado 58 3 401 2016 10.1177/0018720815621206 Intelligent agent transparency in human-agent teaming for Multi-UxV management
Hum. Fact. McGuirl 48 4 656 2006 10.1518/001872006779166334 Supporting trust calibration and the effective use of decision aids by presenting dynamic system confidence information
Miller 1 2014 Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Does the first officer concur? Shared control with smart vehicle systems
Transp. Res. Part F: Traff. Psychol. Behav. Molnar 58 319 2018 10.1016/j.trf.2018.06.004 Understanding trust and acceptance of automated vehicles: an exploratory simulator study of transfer of control between automated and manual driving
Int. J. Man Mach. Stud. Muir 27 5-6 527 1987 10.1016/S0020-7373(87)80013-5 Trust between humans and machines, and the design of decision aids
Ergonomics Muir 39 3 429 1996 10.1080/00140139608964474 Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation
Nass 1973 2005 CHI'05 extended abstracts on Human Factors in Computing Systems Improving automotive safety by pairing driver emotion and car voice emotion
National Highway Traffic Safety Administration, 2013. Preliminary Statement of Policy Concerning Automated Vehicles. Washington, DC, pp. 1-14.
Naujoks 2016 Mensch und Computer 2016-Workshopband Speech improves human-automation cooperation in automated driving
Hum. Fact. Parasuraman 39 2 230 1997 10.1518/001872097778543886 Humans and automation: use, misuse, disuse, abuse
J. Cogn. Eng. Decis. Mak. Parasuraman 2 2 140 2008 10.1518/155534308X284417 Situation awareness, mental workload, and trust in automation: viable, empirically supported cognitive engineering constructs
SAE Int. J. Connect. Automat. Veh. Petersen 2 2 2019 Situational awareness, driver’s trust in automated driving systems and secondary task performance
Petersen 2018 Proceedings of the 2018 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS 2018), Novi, MI The influence of risk on driver's trust in semi-autonomous driving
Pu 93 2006 Proceedings of the 11th International Conference on Intelligent User Interfaces Trust building with explanation interfaces
Rezvani 682 2016 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Towards trustworthy automation: User interfaces that convey internal and external awareness
AI Soc. Robert 2019 10.1007/s00146-019-00894-y Are automated vehicles safer than manually driven cars?
J. Manage. Inform. Syst. Robert 26 2 241 2009 10.2753/MIS0742-1222260210 Individual swift trust and knowledge-based trust in face-to-face and virtual team members
Hum. Fact. Rovira 49 76 2007 10.1518/001872007779598082 Effects of imperfect automation on decision making in a simulated command and control task
SAE International, 2018. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (Standard, J3016_201806; June 15).
Handb. Human Fact. Ergonom. Sarter 2 1926 1997 Automation surprises
Int. J. Ind. Ergon. Seong 38 7-8 608 2008 10.1016/j.ergon.2008.01.007 The impact of cognitive feedback on judgment performance and trust with decision aids
Int. J. Hum. Comput. Stud. Seppelt 65 3 192 2007 10.1016/j.ijhcs.2006.10.001 Making adaptive cruise control (ACC) limits visible
Transport. Res. C: Emerg. Technol. Shabanpour 93 463 2018 10.1016/j.trc.2018.06.014 Eliciting preferences for adoption of fully automated vehicles using best-worst analysis
Sheridan 1978 Human and Computer Control of Undersea Teleoperators
Sinha 830 2002 CHI'02 Extended Abstracts on Human Factors in Computing Systems The role of transparency in recommender systems
Int. J. Hum.-Comput. Stud. Takayama 66 3 173 2008 10.1016/j.ijhcs.2006.06.005 Driver safety and information from afar: an experimental driver simulator study of wireless vs. in-car information services
Transp. Res. Part C: Emerg. Technol. Talebpour 71 143 2016 10.1016/j.trc.2016.07.007 Influence of connected and autonomous vehicles on traffic flow stability and throughput
Thill 52 2014 2014 IEEE International Inter-disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) The apparent intelligence of a system as a factor in situation awareness
Hum. Fact. Verberne 54 5 799 2012 10.1177/0018720812443825 Trust in smart systems: sharing driving goals and giving information to increase trustworthiness and acceptability of smart systems in cars
Willems 2002 Decision Support Automation Research in the En Route Air Traffic Control Environment (DOT/FAA/CT-TN02/10)
Ergonomics Young 47 9 1014 2004 10.1080/00140130410001686348 Taking the load off: investigations of how adaptive cruise control affects mental workload
Ergonomics Young 50 8 1324 2007 10.1080/00140130701318855 What's skill got to do with it? Vehicle automation and driver mental workload
Zhang 2018 presented at the Conference on Autonomous Vehicles in Society: Building a Research Agenda, May 18-19 2018, East Lansing, MI Trust in AVs: the impact of expectations and individual differences
Transp. Res. Part C: Emerg. Technol. Zhang 98 207 2019 10.1016/j.trc.2018.11.018 The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
저자가 APC(Article Processing Charge)를 지불한 논문에 한하여 자유로운 이용이 가능한, hybrid 저널에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.