journal article Open Access Mar 01, 2026

Implicit neural measures of trust in artificial intelligence

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References
72
[1]
Abubshait "A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?" Cognitive, Affective, & Behavioral Neuroscience (2021) 10.3758/s13415-021-00895-9
[2]
Adam "The contribution of attentional lapses to individual differences in visual working memory capacity" Journal of Cognitive Neuroscience (2015) 10.1162/jocn_a_00811
[3]
Working memory: looking back and looking forward

Alan Baddeley

Nature Reviews Neuroscience 2003 10.1038/nrn1201
[4]
Beller "Improving the driver–automation interaction: An approach using automation uncertainty" Human Factors (2013) 10.1177/0018720813482327
[5]
Berberian "The out-of-the-loop brain: A neuroergonomic approach of the human automation interaction" Annual Reviews in Control (2017) 10.1016/j.arcontrol.2017.09.010
[6]
Biros "The influence of task load and automation trust on deception detection" Group Decision and Negotiation (2004) 10.1023/b:grup.0000021840.85686.57
[7]
The Psychophysics Toolbox

David H. Brainard

Spatial Vision 1997 10.1163/156856897x00357
[8]
Cecutti "Technology may change cognition without necessarily harming it" Nature Human Behaviour (2021) 10.1038/s41562-021-01162-0
[9]
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues

Jessie Y. C. Chen, Michael J. Barnes

IEEE Transactions on Human-Machine Systems 2014 10.1109/thms.2013.2293535
[10]
Cousineau "Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method. Tutorials in quantitative methods for" psychology (2005)
[11]
The magical number 4 in short-term memory: A reconsideration of mental storage capacity

Nelson Cowan

Behavioral and Brain Sciences 2001 10.1017/s0140525x01003922
[12]
de Visser "From ‘automation’ to ‘autonomy’: The importance of trust repair in human–machine interaction" Ergonomics (2018) 10.1080/00140139.2018.1457725
[13]
Algorithm aversion: People erroneously avoid algorithms after seeing them err.

Berkeley J. Dietvorst, Joseph P. Simmons, Cade Massey

Journal of Experimental Psychology: General 2015 10.1037/xge0000033
[14]
Dzindolet "The role of trust in automation reliance" International journal of human-computer studies (2003) 10.1016/s1071-5819(03)00038-7
[15]
Ezer "Age-related differences in reliance behavior attributable to costs within a human-decision aid system" Human Factors (2008) 10.1518/001872008x375018
[16]
Fedota "Neuroergonomics and human error" Theoretical Issues in Ergonomics Science (2010) 10.1080/14639220902853104
[17]
Feldmann-Wüstefeld "Neural measures of working memory in a bilateral change detection task" Psychophysiology (2021) 10.1111/psyp.13683
[18]
Feldmann-Wüstefeld "Neural evidence for dynamic within-trial changes in allocation of visual attention" Visual Cognition (2021) 10.1080/13506285.2021.1918303
[19]
Feldmann-Wüstefeld "Contralateral delay activity indexes working memory storage, not the current focus of spatial attention" Journal of Cognitive Neuroscience (2018) 10.1162/jocn_a_01271
[20]
Fukuda "Discrete capacity limits in visual working memory" Current opinion in neurobiology (2010) 10.1016/j.conb.2010.03.005
[21]
Giebeler "Wall-E vs. Terminator: The relationship between physical appearance and dimensions of mind perception" Computers in Human Behavior: Artificial Humans (2026)
[22]
Human Trust in Artificial Intelligence: Review of Empirical Research

Ella Glikson, Anita Williams Woolley

Academy of Management Annals 2020 10.5465/annals.2018.0057
[23]
Harbarth "(Over) trusting AI recommendations: How system and person variables affect dimensions of complacency" International Journal of Human–Computer Interaction (2025) 10.1080/10447318.2023.2301250
[24]
Hertz "Influence of agent type and task ambiguity on conformity in social decision making" (2016)
[25]
Hertz "Good advice is beyond all price, but what if it comes from a machine?" Journal of Experimental Psychology: Applied (2019)
[26]
Hinz "ERP markers of action planning and outcome monitoring in human–robot interaction" Acta Psychologica (2021) 10.1016/j.actpsy.2020.103216
[27]
Hoff "Trust in automation: Integrating empirical evidence on factors that influence trust" Human Factors (2015) 10.1177/0018720814547570
[28]
Hutchinson "The perception of automation reliability and acceptance of automated advice" Human Factors (2023) 10.1177/00187208211062985
[29]
Inie "June). From“ AI” to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?" (2024)
[30]
Jayasekara, D., Prissé, B., Deng, R., & Ho, J. Q. (2025). Exploring trust in artificial intelligence (AI) systems: Insights from a repeated trust game. Available at SSRN 5229860. 10.2139/ssrn.5229860
[31]
Foundations for an Empirically Determined Scale of Trust in Automated Systems

Jiun-Yin Jian, Ann M. Bisantz, Colin G. Drury

International Journal of Cognitive Ergonomics 2000 10.1207/s15327566ijce0401_04
[32]
Keller "System-wide versus component-specific trust using multiple aids" The Journal of General Psychology: Experimental, Psychological, and Comparative Psychology (2009) 10.1080/00221300903266713
[33]
Kloft, A. M., Welsch, R., Kosch, T., & Villa, S. (2024, May). AI enhances our performance, I have no doubt this one will do the same: The Placebo effect is robust to negative descriptions of AI. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-24). 10.1145/3613904.3642633
[34]
Kohn "Measurement of trust in automation: A narrative review and reference guide" Frontiers in Psychology (2021) 10.3389/fpsyg.2021.604977
[35]
Körber "Theoretical considerations and development of a questionnaire to measure trust in automation" (2019)
[36]
Kosiarek "Beyond self-report: Implicit measures of trust in human–automation interaction" Current Directions in Psychological Science (2023)
[37]
Lee "Trust, control strategies and allocation of function in human-machine systems" Ergonomics (1992) 10.1080/00140139208967392
[38]
Lee "Trust, self-confidence, and operators' adaptation to automation" International Journal of Human-Computer Studies (1994) 10.1006/ijhc.1994.1007
[39]
Trust in Automation: Designing for Appropriate Reliance

John D. Lee, Katrina A. See

Human Factors: The Journal of the Human Factors an... 2004 10.1518/hfes.46.1.50.30392
[40]
Liang "Effect of acute stress on working memory in pilots: Investigating the modulatory role of memory load" PLoS One (2024) 10.1371/journal.pone.0288221
[41]
Luck "Electrophysiological correlates of the focusing of attention within complex visual scenes: N2pc and related ERP components" (2012)
[42]
Luck "The capacity of visual working memory for features and conjunctions" Nature (1997) 10.1038/36846
[43]
Luck "Visual working memory capacity: From psychophysics and neurobiology to individual differences" Trends in Cognitive Sciences (2013) 10.1016/j.tics.2013.06.006
[44]
Luria "The contralateral delay activity as a neural measure of visual working memory" Neuroscience & Biobehavioral Reviews (2016) 10.1016/j.neubiorev.2016.01.003
[45]
Madhavan "Automation failures on tasks easily performed by operators undermine trust in automated aids" Human Factors (2006) 10.1518/001872006777724408
[46]
An Integrative Model of Organizational Trust

Roger C. Mayer, James H. Davis, F. David Schoorman

The Academy of Management Review 1995 10.2307/258792
[47]
Meyer "Trust, reliance, and compliance" (2013)
[48]
Núñez Castellar "Cognitive abilities, digital games and arithmetic performance enhancement: A study comparing the effects of a math game and paper exercises" Computers & Education (2015) 10.1016/j.compedu.2014.12.021
[49]
Onnasch "Impact of anthropomorphic robot design on trust and attention in industrial human-robot interaction" J. Hum.-Robot Interact. (2021) 10.1145/3472224
[50]
Onnasch "A taxonomy to structure and analyze human–robot interaction" International Journal of Social Robotics (2021) 10.1007/s12369-020-00666-5

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Published
Mar 01, 2026
Vol/Issue
7
Pages
100274
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Funding
Alexander von Humboldt-Stiftung
DFG Award: FE 1832 /3-1
Cite This Article
Tobias Feldmann-Wüstefeld, Eva Wiese (2026). Implicit neural measures of trust in artificial intelligence. Computers in Human Behavior: Artificial Humans, 7, 100274. https://doi.org/10.1016/j.chbah.2026.100274