SynthesisHuman factors2024
Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review.
Synthesis in Human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Measuring Situation Awareness: A Meta-Review Across Domains.Human factors · 2026Pooled it
- A Systematic Review of Empirical Studies on Situation Awareness: Perspectives From the Interaction Among Humans, Machines, and the Task Environment.PsyCh journal · 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
- Psychophysiological markers of trust in automation: insights from ERP responses in a modified flanker task.Cognitive research: principles and implications · 2026Article
- Multimodal feedback enhances human belief updating performance and reduces cognitive load in urban drone operation.Frontiers in robotics and AI · 2026Article
- Deciphering Automation Transparency: Do the Benefits of Transparency Differ Based on Whether Decision Recommendations Are Provided?Human factors · 2025Article
- The effects of cues on task interruption recovery in a concurrent multitasking environment.Scientific reports · 2025Article
- The effects of warning design features on risk perception and performance in remote emergency response.Scientific reports · 2025Article
- Transparent systems, opaque results: a study on automation compliance and task performance.Cognitive research: principles and implications · 2025Article
- An analysis of the role of different levels of exchange of explicit information in human-robot cooperation.Frontiers in robotics and AI · 2025Article
- Transparency improves the accuracy of automation use, but automation confidence information does not.Cognitive research: principles and implications · 2024Article
- Transparent Automated Advice to Mitigate the Impact of Variation in Automation Reliability.Human factors · 2024Article
- How do humans learn about the reliability of automation?Cognitive research: principles and implications · 2024Article
- Supporting detection of hostile intentions: automated assistance in a dynamic decision-making context.Cognitive research: principles and implications · 2023Article
- Human Factors and Organizational Issues: Contributions from 2022.Yearbook of medical informatics · 2023Article
- Reliable and transparent in-vehicle agents lead to higher behavioral trust in conditionally automated driving systems.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn this review, we investigate the relationship between agent transparency, Situation Awareness, mental workload, and operator performance for safety critical domains.
backgroundThe advancement of highly sophisticated automation across safety critical domains poses a challenge for effective human oversight. Automation transparency is a design principle that could support humans by making the automation's inner workings observable (i.e., "seeing-into"). However, experimental support for this has not been systematically documented to date.
methodBased on the PRISMA method, a broad and systematic search of the literature was performed focusing on identifying empirical research investigating the effect of transparency on central Human Factors variables.
resultsOur final sample consisted of 17 experimental studies that investigated transparency in a controlled setting. The studies typically employed three human-automation interaction types: responding to agent-generated proposals, supervisory control of agents, and monitoring only. There is an overall trend in the data pointing towards a beneficial effect of transparency. However, the data reveals variations in Situation Awareness, mental workload, and operator performance for specific tasks, agent-types, and level of integration of transparency information in primary task displays.
conclusionOur data suggests a promising effect of automation transparency on Situation Awareness and operator performance, without the cost of added mental workload, for instances where humans respond to agent-generated proposals and where humans have a supervisory role. APPLICATION: Strategies to improve human performance when interacting with intelligent agents should focus on allowing humans to see into its information processing stages, considering the integration of information in existing Human Machine Interface solutions.
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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.