ReviewFrontiers in human neuroscience2026
Cognitive state monitoring for neuroadaptive information visualization.
Review in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Cognitive Tunneling in Obstetrics and Gynecology: A Critical Review of Implications for Clinical Practice and Mitigation Strategies.Diseases (Basel, Switzerland) · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In today's digital world, we face an overwhelming influx of information daily. Information Visualisation (InfoVis) serves as a promising approach to alleviate this "information overload" issue by providing timely, effective, and adaptive visual representations. Despite its potential, previous research has under-explored the critical role of users' cognitive states in facilitating more natural interactions. This article bridges this research gap by first presenting a comprehensive review of current methodologies for assessing cognitive states through neurophysiological signal analysis. Specifically, we focus on InfoVis systems and the effects of certain cognitive states (mental fatigue, mental workload, stress, and mind wandering) on user performance. We also review strategies for assessing these states using non-invasive brain imaging modalities (EEG, fNIRS) and peripheral physiological measurements (HRV, EDA, and eye activity). Our critical analysis identifies the most effective tools for detecting real-time changes in cognitive processes, setting the groundwork for neuroadaptive InfoVis systems that promise enhanced user engagement and decision-making efficacy. Ultimately, this work advances our understanding of perception, provides best practices for multisensory integration in computing systems, and can inspire future technological innovations.
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Identifiers
What OpenQuestion holds
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.