The effects of errors on system trust, self-confidence, and the allocation of control in route planning

The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations

Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532

Foundations of social theory

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Humans and automation: Use, misuse, disuse, abuse

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The Logic and Limits of Trust

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Visualizing a discipline: An author co-citation analysis of information science, 1972–1995

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Trust, control strategies and allocation of function in human-machine systems

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Trust, self-confidence, and operators' adaptation to automation

Lee, J. D., & Moray, N. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1007 · Cited by 932

Trust between humans and machines, and the design of decision aids

Muir, B. M. (1987) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(87)80013-5 · Cited by 808

In the Age of the Smart Machine: The Future of Work and Power

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A Novel Cognitive Approach for Measuring the Trust in Robots

Dubey, A. D., & Kumar, B. A. (2019) · Journal of Information Technology Research · doi:10.4018/jitr.2019070104 · Cited by 2

Impact of Perceived Agent Expertise on Trust in Computer Agent Recommendations

Sharp, W. H., & Sebrechts, M. M. (2020) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181320641323 · Cited by 3

Misattribution of Error Origination: The Impact of Preconceived Expectations in Co-Operative Online Games

Milanović, K., & Pitt, J. V. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462043 · Cited by 2

Designing for Human-Centred Decision Support Systems in PHM

McDonnell, D., Balfe, N., Al‐Dahidi, S., & O’Donnell, G. E. (2014) · PHM Society European Conference · doi:10.36001/phme.2014.v2i1.1558 · Cited by 2

Trust in Autonomous Cars Does Not Largely Differ from Trust in Human Drivers when They Make Minor Errors

Yokoi, R. (2024) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981241263350 · Cited by 2

A Virtual Testbed for Studying Trust in Ambient Intelligence Environments

Semsar, A., Makan, M. M., Shirehjini, A. A. N., & Mohammadi, Z. (2016) · Interacción · doi:10.1007/978-3-319-39949-2_10 · Cited by 3

Modeling human-automation interaction in a unified cognitive architecture

Morita, J., Miwa, K., Maehigashi, A., Terai, H., & Ritter, F. E. (2011) · Institutional Repositories DataBase (IRDB) · Cited by 2

Attribution Biases and Trust Development in Physical Human-Machine Coordination: Blaming Yourself, Your Partner or an Unexpected Event

Hsiung, C.-P., & Chiou, E. K. (2019) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181319631039 · Cited by 2

Performance and Relative Risk Dynamics during Driving Simulation Tasks under Distinct Automation Conditions

Rodriguez, L. R., Bustamante-Orellana, C., Gremillion, G. M., Huang, L., Demir, M., Cooke, N. J., Metcalfe, J. S., Amazeen, P. G., & Kang, Y. (2022) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181322661471 · Cited by 2

Application of artificial intelligence technologies in intelligent diagnosis of crude oil pipelines

Lian, J., Zhao, L., Li, Z., & Xie, R. (2022) · International Symposium on Computer Applications and Information Systems (ISCAIS) · doi:10.1117/12.2639551 · Cited by 2

Automation bias and prescribing decision support – rates, mediators and mitigators

Goddard, K. S. (2012) · City Research Online (City University London) · Cited by 2

Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental WorkloadPreprint

Du, N., Haspiel, J., Zhang, Q., Tilbury, D. M., Pradhan, A. K., Yang, X. J., & Robert, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.08878 · Cited by 2

Development and Comparison of Operator Strategy Models

Zhu, H. (2021) · Cited by 2

Model Development Effect of Emotional Design and Human Performance on The Use of The Teman Bus Apps

Widyaningrum, R., & Herdiyawati, L. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202448303011 · Cited by 1

Trust Transfer in Autonomous Vehicles: The Role of Warm Brand Image Amid Automation Failure

Qin, S., Li, C., & Qi, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60731-8_9 · Cited by 1

Effects of trust and perceived self-efficacy on aided judgement: an experiment on spelling and grammar checking

Zijlstra, M., & Payne, S. J. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2478277 · Cited by 1

Openness to the Metaverse Workplace: Zoom Fatigue and Metaverse Information Seeking Mediate Gender Inequities

Lim, C., Ratan, R., Pandita, S., Foxman, M., Hales, G. E., Liu, H., Lei, Y. S., & Beyea, D. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/8808655 · Cited by 1

Empowering Trust: The Role of Adaptable Design in AI Systems

Staab, V., Hein, I., Ramrath, M., Schlüter, L., Stuckstätte, A., Hohn, M., Sieberg, P. M., & Liebherr, M. (2025) · IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · doi:10.1109/cogsima64436.2025.11079500 · Cited by 1

Perceptions of Difficulty in an Automation-Supported Task

Padilla, J. G., & Patton, C. E. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251360718 · Cited by 1

(Some) Benefits in Operator Decisions to Use AI After Experiencing Optimal Outcomes

Patton, C. E., Clegg, B. A., Davis, B. C., & Blanchard, N. (2025) · Hum. Factors · doi:10.1177/00187208251387933 · Cited by 1

Would you trust your AI teammate in wargame competitions? The impact of levels of automation, human control, and reward uncertainty on trust in agents

Liu, J., Zhao, J., & Zhu, L. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103299 · Cited by 1

Analysis of user attitude and behaviour in evaluating a personalized search engine

Law, E. L., Klobučar, T., & Pipan, M. (2006) · European Conference on Cognitive Ergonomics · doi:10.1145/1274892.1274894 · Cited by 1

The Relationship between Computer Self-Efficacy and Human-Automation Integrated Performance

Phillips, R. R., & Madhavan, P. (2008) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120805201407 · Cited by 1

Numerical versus graphical aids for decision-making in a multi-cue signal identification task

Szulc, J., & Fletcher, K. I. (2024) · Applied Ergonomics · doi:10.1016/j.apergo.2024.104260 · Cited by 1

Trust in Algorithmic Advice Increases with Task Complexity

Tahtali, M. A., Snijders, C. C. P., & Dirne, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-55245-8_6 · Cited by 1

Trust Prediction in Assistive Robotics Using Multi-modal Video Transformers

Lingg, N., & Demiris, Y. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-3519-1_13 · Cited by 1

Trust in Technology: An Empirical Examination of the Construct

Thatcher, J. B., Arsal, R. E., & McKnight, D. H. (2004) · Journal of the Association for Information Systems · Cited by 1

Human Research Program: Space Human Factors and Habitability Element

Russo, D. M. (2007) · NASA STI Repository (National Aeronautics and Space Administration) · Cited by 1

Effectiveness of Concurrent Performance of Military and Robotics Tasks and Effects of Cueing and Individual Differences in a Simulated Reconnaissance Environment

Chen, J. Y. C. (2009) · InTech eBooks · doi:10.5772/6837 · Cited by 1

Development and Evaluation of a Research Framework for Measuring the Reliance on Automation in Situations of Risk and Moral Dilemma

Liehner, G. L., Brauner, P., Schaar, A., & Ziefle, M. (2020) · Interacción · doi:10.1007/978-3-030-49907-5_20 · Cited by 1

Факторы повышения доверия и снижения недоверия человека технике

Akimova, A. Y., & Oboznov, A. A. (2017) · Психологические исследования · doi:10.54359/ps.v10i53.369 · Cited by 1

Performance, trust, and workload in an automation-aided visual search task

Monfort, S. S. (2017) · doi:10.13021/mars/6545 · Cited by 1

Shaping Drivers’ Understanding of Control: The Effect of Visual User Interfaces on Control Responsibilities in Automated VehiclesPreprint

Kim, S., Nordhoff, S., van Egmond, R., & Happee, R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4819025 · Cited by 1

Trust in Micro Service Environments

Boman, M., Laaksolahti, J., Espinoza, F., & Cöster, R. (2006) · KTH Publication Database DiVA (KTH Royal Institute of Technology)

Trust and Clinical Information Systems

Shibl, R., Fielden, K., Bissett, A., & Pain, D. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-561-2.ch706

Toward an understanding of optimal performance within a human-automation collaborative system: Effects of error and verification costs

Ezer, N. (2006) · UPT. Syiah Kuala University Library (Syiah Kuala University)

Computer says no!:"the effect of positive and negative direct and indirect information on control allocation and the mediating effects of trust and confidence"

Maan, S. S. (2011)

Using Outcome-Based Instructional Design Approach to Enhance E-Learning with Social Software: A Mixed Methods Case Study

Sun, R. (2014) · uO Research (University of Ottawa) · doi:10.20381/ruor-3666

The Influence of Risk on Trust in Automation

Satterfield, K. (2016) · doi:10.13021/mars/6095

Quantitative Measures of Regret and Trust in Human-Robot Collaboration Systems

Liao, Z. (2017) · TigerPrints (Clemson University)

Working in a Highly Automated Truck - Who, What and Why?

Janson, A., & Lindqvist, C. (2017) · KTH Publication Database DiVA (KTH Royal Institute of Technology)

Enhancing autonomy transparency: an option-centric rationale approachPreprint

Luo, R., Du, N., & Yang, X. J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.01051

"I Believe AI Can Learn from the Error! Or Can It Not?": The Effects of Implicit Theories of Artificial Intelligence on Trust Repair of the Intelligent AgentPreprint

Kim, T., & Song, H. (2021) · doi:10.31234/osf.io/m4q8z

Influencing Factors of Phishing: A Psychological Perspective

葛, 燕. (2021) · Advances in Psychology · doi:10.12677/ap.2021.114109

A conceptual framework to guide the design and evaluation of human interaction with information automation to support judgment

Baumgart, L. A. (2012) · doi:10.18130/v3821v

Understanding the Human–Machine System

Hou, M., Banbury, S., & Burns, C. (2014) · CRC Press eBooks · doi:10.1201/b17742-2

Using a Virtual Reality House-Search Task to Measure Trust During Human-Agent Interaction (Demo Paper)

Kox, E. S., Barnhoorn, J., Mayer, L. M. R., Temel, A., & Klunder, T. (2022) · Frontiers in artificial intelligence and applications · doi:10.3233/faia220214

Anthropomorphism Fails to Strengthen use of and Trust in AutomationPreprint

Cockram, L., Bartlett, M. L., & McCarley, J. S. (2022) · doi:10.31219/osf.io/tr34x

Influence of Errors on the Evaluation of Text Classification Systems

Bracamonte, V., Hidano, S., & Kiyomoto, S. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-45725-8_8

Analysing and Modelling Human Trust to a Navigation Robot

Onyeoru, H. C., Wirth, C., Giles, J., & Arvaneh, M. (2023) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine58569.2023.10405803

Can Interpretability Layouts Influence Human Perception of Offensive Sentences?

dos Santos, T. F., Osman, N., & Schorlemmer, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70074-3_3

The absent P3a. Performance monitoring ERPs differentiate trust in humans and autonomous systemsPreprint

Rogers, D. A., Brooks, K. J., Finn, A., Schlesewsky, M., Ullsperger, M., & Bornkessel‐Schlesewsky, I. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.12.642947

Do People Willfully Ignore Decision Support? Evidence from an Online Experiment

Momsen, K., Bachler, S., Haeussler, S., & Stefan, M. (2025) · Decision Analysis · doi:10.1287/deca.2025.0349

GenAI as complete cognitive automation for untrained users at population scale: implications for human factors and ergonomics

Pak, R., Rovira, E. M., & McLaughlin, A. C. (2026) · Ergonomics · doi:10.1080/00140139.2026.2686284 · Cited by 2

Neurophysiological Correlates of Human Trust in Machines: EEG-Based Assessment Using Error-Related Potentials and P300

Onyeoru, H. C., Wirth, C., & Arvaneh, M. (2025) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine66377.2025.11340569

TARS: Trust-Aware Reward Shaping for Vehicle Lane Change Automation

Liu, J., Boyle, L. N., & Banerjee, A. G. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3673636

Guilty until proven innocent: Experiencing errors in training promotes relationship equity and trust calibration

Sharp, W. H., Jackson, K. M., & Shaw, T. H. (2026) · Applied Ergonomics · doi:10.1016/j.apergo.2026.104770

Recognized Cyber Picture et Confiance interpersonnelle : optimiser les activités collaboratives cyber militaires

Bollon, F. (2020) · theses.fr (ABES) · doi:10.70675/8d125e9czb025z4f44z8c27z41604785f6aa · Cited by 1

Peeking Ahead of the Field Study: Exploring VLM Personas as Support Tools for Embodied Studies in HCI

Gui, X., Xia, D., Colley, M., Li, Y., Chauhan, V., Anubhav, A., Zhou, Z., Javanmardi, E., Seo, S. H., Chang, C.-M., et al. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790537

Interpretable Trust Assessment of Early Warning for Driver-Assistance Systems Using EEG

Meng, X., Wang, W., Shao, C., Yao, H., Zhang, R., & Xi, J. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3682376

What Happens when Decision Support Systems Fail? — The Importance of Usability on Performance in Erroneous SystemsPreprint

Ziefle, M., Valdez, A. S. C., Philipsen, R., & Brauner, P. (2023) · OSF Preprints (OSF Preprints)

Effects of uncertain system information on users' performance, confidence, and trust in aided linguistic judgement

Zijlstra, M., & Payne, S. (2026) · Int. J. Hum. Comput. Stud. · doi:10.1016/j.ijhcs.2026.103881

Pathways to Public Trust and Acceptance of Artificial Intelligence in Public Services: A PLS-SEM and cIPMA Approach

Bunea, O.-I., Sabie, O. M., Popescu, R. I., Corboș, R.-A., & Nastacă, C. C. (2026) · Administrative Sciences · doi:10.3390/admsci16100463

Trust Calibration in Older Adults’ Human–Robot Interaction: A Dual-Path Model of Cognitive and Emotional Trust

Zhang, T., Song, L., Zhao, Y., & Wang, Y. (2026) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3860538

The uncertain advisor: trust, accuracy, and self-correction in an automated decision support system

Lochner, M., & Smilek, D. (2022) · Cognitive Processing · doi:10.1007/s10339-022-01113-1 · Cited by 4

Automation Error Bias, Trust, and Dependence Behaviors in a Simulated Drone Collision Avoidance Task

Jackson, A., Sato, T., Glassman, J., Politowicz, M. S., Chancey, E. T., & Yamani, Y. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261425068

Continuous Calibration of Trust in Automated Systems

Merritt, S. M., Huber, K., LaChapell-Unnerstall, J., & Lee, D. (2014) · doi:10.21236/ada606748 · Cited by 20

Trust with increasing and decreasing reliability

Rittenberg, B. S. P., Holland, C. W., Barnhart, G. E., Gaudreau, S. M., & Neyedli, H. F. (2024) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208241228636 · Cited by 19

Trust, self-confidence, and operators' adaptation to automation

Lee, J. D., & Moray, N. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1007 · Cited by 932