Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles

Abraham, H., Lee, C., Brady, S., Fitzgerald, C., Mehler, B., Reimer, B., & Coughlin, J. F. (2017). Autonomous vehicles and alternatives to driving: Trust, preferences, and effects of age. Proceedings of the Transportation Research Board 96th Annual Meeting (TRB’17). Balfe, 2018, Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System, Human Factors, 60, 477, 10.1177/0018720818761256 Beggiato, 2013, The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information, Transportation Research Part F: Traffic Psychology and Behaviour, 18, 47, 10.1016/j.trf.2012.12.006 Beller, 2013, Improving the driver-automation interaction: An approach using automation uncertainty, Human Factors, 55, 1130, 10.1177/0018720813482327 Chancey, 2017, Trust and the Compliance-Reliance Paradigm: The Effects of Risk, Error Bias, and Reliability on Trust and Dependence, Human Factors, 59, 333, 10.1177/0018720816682648 Choi, 2015, Investigating the Importance of Trust on Adopting an Autonomous Vehicle, International Journal of Human-Computer Interaction, 31, 692, 10.1080/10447318.2015.1070549 Deb, S., Strawderman, L., Carruth, D.W., DuBien, J., Smith, B., & Garrison, T.M. (2017). Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles, Transportation Research Part C: Emerging Technologies, 84(November), 178-195. DeGuzman C. A., & Donmez, B. (2021). Knowledge of and trust in advanced driver assistance systems, Accident Analysis & Prevention, 56(June 2021), 106121. DeGuzman, 2020, Driver takeover performance and monitoring behavior with driving automation at system-limit versus system-malfunction failures, Transportation Research Record, 10.1177/0361198120912228 Dikmen, M., & Burns, C. M. (2016). Autonomous driving in the real world: Experiences with Tesla autopilot and summon. In Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications (Automotive’UI 16), (pp. 225–228). Domeyer, 2018, Characterizing Driver Trust in Vehicle Control Algorithm Parameters, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62, 1821, 10.1177/1541931218621413 Du, N., Haspiel, J., Zhang, Q., Tilbury, D., Pradhan, A. K., Yang, X. J., & Robert, L. P. (2019). Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload. Transportation Research Part C: Emerging Technologies, 104(September 2018), 428–442. Dzindolet, 2002, The perceived utility of human and automated aids in a visual detection task, Human Factors, 44, 79, 10.1518/0018720024494856 Ghazizadeh, 2012, Extending the Technology Acceptance Model to assess automation, Cognition, Technology & Work, 14, 39, 10.1007/s10111-011-0194-3 Hancock, 2011, A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction, Human Factors, 53, 517, 10.1177/0018720811417254 Hartwich, F., Witzlack, C., Beggiato, M., & Krems, J. (2019). The first impression counts—A combined driving simulator and test track study on the development of trust and acceptance of highly automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 65(August), 522–535. Hergeth, 2017, Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust, Human Factors, 59, 457, 10.1177/0018720816678714 Hergeth, 2016, Keep Your Scanners Peeled: Gaze Behavior as a Measure of Automation Trust during Highly Automated Driving, Human Factors, 58, 509, 10.1177/0018720815625744 Hoff, 2014, Trust in automation: Integrating empirical evidence on factors that influence trust, Human Factors, 57, 407, 10.1177/0018720814547570 Holmes, 1989, Trust in close relationships, Vol. 10 Körber, 2018, Why Do I Have to Drive Now? Post Hoc Explanations of Takeover Requests, Human Factors, 60, 305, 10.1177/0018720817747730 Kraus, 2019, The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency, Human Factors Kraus, 2020, Scared to trust? – Predicting trust in highly automated driving by depressiveness, negative self-evaluations and state anxiety, Frontiers in Psychology, 10, 10.3389/fpsyg.2019.02917 Kraus, 2020, What’s driving me? – Exploration and validation of a hierarchical personality model for trust in automated driving, Human Factors Kraus, 2020 Lacson, 2005, Effects of Attribute and Goal Framing on Automation Reliance and Compliance, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 49, 482, 10.1177/154193120504900357 Lee, 2021, Revisiting Human-Machine Trust: A Replication Study of Muir & Moray (1996) Using a Simulated Pasteurizer Plant Task, Ergonomics, 10.1080/00140139.2021.1909752 Lee, 2019, Exploring trust in self-driving vehicles with text analysis, Human Factors, 62, 260, 10.1177/0018720819872672 Lee, 2004, Trust in Automation: Designing for Appropriate Reliance, Human Factors, 46, 50, 10.1518/hfes.46.1.50.30392 Lee, 1992, Trust, Control Strategies and Allocation of Function in Human-Machine Systems, Ergonomics, 35, 1243, 10.1080/00140139208967392 Lewandowsky, 2000, The dynamics of trust: Comparing humans to automation, Journal of Experimental Psychology: Applied, 6, 104 Louw, 2017, Coming Back into the Loop: Drivers’ Perceptual-Motor Performance in Critical Events after Automated Driving, Accident Analysis and Prevention, 108, 9, 10.1016/j.aap.2017.08.011 Madsen, M., & Gregor, S. (2000). Measuring human-computer trust. In G. Gable & M. Vitale (Eds.), In Proceedings of the 11th Australasian Conference on Information Systems (p. 53). Brisbane, Australia: Information Systems Management Research Centre. Madhavan, 2007, Similarities and differences between human-human and human-automation trust: An integrative review, Theoretical Issues in Ergonomics Science, 8, 277, 10.1080/14639220500337708 McClellan, 1994, Can you trust your autopilot?, Flying, 76 Merritt, 2008, Not all trust is created equal: Dispositional and history based trust in human-automation interactions, Human Factors, 50, 194, 10.1518/001872008X288574 Moray, 1999, Laboratory studies of trust between humans and machines in automated systems, Transactions of the Institute of Measurement & Control, 21, 203, 10.1177/014233129902100408 Muir, 1987, Trust between humans and machines, and the design of decision aids, International Journal of Man-Machine Studies, 27, 527, 10.1016/S0020-7373(87)80013-5 Muir, 1994, Trust in automation: 1. Theoretical issues in the study of trust and human intervention in automated systems, Ergonomics, 37, 1905, 10.1080/00140139408964957 Muir, 1996, Trust in automation: 2. Experimental studies of trust and human intervention in a process control simulation, Ergonomics, 39, 429, 10.1080/00140139608964474 Parasuraman, 2010, Complacency and bias in human use of automation: An attentional integration, Human Factors, 52, 381, 10.1177/0018720810376055 Parasuraman, 1997, Humans and Automation: Use, Misuse, Disuse, Abuse, Human Factors, 39, 230, 10.1518/001872097778543886 Payre, 2014, Intention to use a fully automated car: Attitudes and a priori acceptability, Transportation Research Part F: Traffic Psychology and Behaviour, 27, 252, 10.1016/j.trf.2014.04.009 Payre, 2016, Fully automated driving: Impact of trust and practice on manual control recovery, Human Factors, 58, 229, 10.1177/0018720815612319 Rajaonah, 2008, The role of intervening variables in driver–ACC cooperation, International Journal of Human-Computer Studies, 66, 185, 10.1016/j.ijhcs.2007.09.002 Rouder, 2012, Default Bayes factors for model selection in regression, Multivariate Behavioral Research, 47, 877, 10.1080/00273171.2012.734737 Sanbonmatsu, 2018, Cognitive underpinnings of beliefs and confidence in beliefs about fully automated vehicles, Transportation Research Part F: Traffic Psychology and Behaviour, 55, 114, 10.1016/j.trf.2018.02.029 Sarter, 1997, Automation surprises, 1926 Schaefer, 2016, A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Understanding Autonomy in Future Systems, Human Factors, 58, 377, 10.1177/0018720816634228 Sheridan, 1974, Man-machine systems; Information, control, and decision models of human performance, The MIT Press Seppelt, 2007, Making adaptive cruise control (ACC) limits visible, International Journal of Human-Computer Studies, 65, 192, 10.1016/j.ijhcs.2006.10.001 Sheridan, 1988, Trustworthiness of command and control systems, IFAC Proceedings Series, 21, 427 Seppelt, B.D., & Lee, J.D. (2019). Keeping the driver in the loop: Dynamic feedback to support appropriate use of imperfect vehicle control automation. Journal of Human Computer Studies, 125(November 2018), 66–80. Society of Automotive Engineers International J3016 (2018). Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems. Warrendale, PA: SAE International. 1984 Victor, 2018, Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel, Human Factors, 60, 1095, 10.1177/0018720818788164 Walker, 2016, Trust in vehicle technology, International Journal of Vehicle Design, 70, 157, 10.1504/IJVD.2016.074419 Wetzels, 2011, Statistical evidence in experimental psychology: An empirical comparison using 855 t tests, Perspectives on Psychological Science, 6, 291, 10.1177/1745691611406923 Wintersberger, P., Frison, A., Riener, A., & Boyle, L. N. (2016). Towards a Personalized Trust Model for Highly Automated Driving. Mensch Und Computer, (September 2016), 2–7. Wickens, 2007, The benefits of imperfect diagnostic automation: A synthesis of the literature, Theoretical Issues in Ergonomic Science, 8, 201, 10.1080/14639220500370105 Wickens, 2000 Yamani, 2020, Human-Automation Trust to Technologies for Naïve Users Amidst and Following the COVID-19 Pandemic, Human Factors, 62, 1087, 10.1177/0018720820948981