ReviewFrontiers in psychology2021
Measurement of Trust in Automation: A Narrative Review and Reference Guide.
Review in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Conventions and research challenges in considering trust with socially assistive robots for older adults.Frontiers in robotics and AI · 2025Pooled it
- Socio-Technical Risk-Informed AI-Driven Automation Trustworthiness Evaluation (ST-RATE): Part 1-Conceptualization.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Exploring Middle School Students' Interactions and Perceptions of Using Generative AI in STEAM Learning Environments.Behavioral sciences (Basel, Switzerland) · 2026Article
- Humans vs. Robots: Utilization of pointing cues and the mediators of trust in nonverbal communication.Computers in human behavior. Artificial humans · 2026Article
- Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.Journal of medical Internet research · 2026Article
- Eye-Tracked Visual Attention to Anthropomorphic Appearance and Empathic Responses in AI Medical Conversational Agents: Dissociating Trust Gains from Attentional Synergy.Journal of eye movement research · 2026Article
- Psychophysiological markers of trust in automation: insights from ERP responses in a modified flanker task.Cognitive research: principles and implications · 2026Article
- Gaze transition entropy and automation trust in a multitasking workspace.Scientific reports · 2026Article
- Prior beliefs & automated fact checking: Limits on the effectiveness of AI-based corrections.PloS one · 2026Article
- Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions.Frontiers in psychology · 2026Article
- An EEG-based non-linear state-space model for trust inference in a space-relevant human-autonomy teaming task.Frontiers in neuroergonomics · 2026Article
- Development and application of desiderata for automated clinical ordering.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Multimodal Fusion for Trust Assessment in Lower-Limb Rehabilitation: Measurement Through EEG and Questionnaires Integrated by Fuzzy Logic.Sensors (Basel, Switzerland) · 2025Article
- From Trust in Automation to Trust in AI in Healthcare: A 30-Year Longitudinal Review and an Interdisciplinary Framework.Bioengineering (Basel, Switzerland) · 2025Review
- Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Can humanoid robots be used as a cognitive offloading tool?Cognitive research: principles and implications · 2025Review
- TICK: A Knowledge Processing Infrastructure for Cognitive Trust in Human-Robot Interaction.International journal of social robotics · 2025Article
- Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention.Frontiers in psychology · 2025Article
- Measuring trust in artificial intelligence: validation of an established scale and its short form.Frontiers in artificial intelligence · 2025Article
- Interacting with fallible AI: is distrust helpful when receiving AI misclassifications?Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rise of automated and autonomous agents, research examining Trust in Automation (TiA) has attracted considerable attention over the last few decades. Trust is a rich and complex construct which has sparked a multitude of measures and approaches to study and understand it. This comprehensive narrative review addresses known methods that have been used to capture TiA. We examined measurements deployed in existing empirical works, categorized those measures into self-report, behavioral, and physiological indices, and examined them within the context of an existing model of trust. The resulting work provides a reference guide for researchers, providing a list of available TiA measurement methods along with the model-derived constructs that they capture including judgments of trustworthiness, trust attitudes, and trusting behaviors. The article concludes with recommendations on how to improve the current state of TiA measurement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.