ReviewSensors (Basel, Switzerland)2026
Sensing Techniques in Virtual Reality for Human Interaction: A Bibliometric Analysis.
Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Virtual reality (VR) has emerged as a key technology for immersive human-computer interaction, where sensing systems are essential for enabling natural, adaptive, and multisensory experiences. However, the scientific landscape of sensing techniques in VR remains fragmented across disciplines, lacking a comprehensive and integrative perspective. In this study, a bibliometric and science mapping analysis was conducted to systematically evaluate research trends, structures, and developments in sensing technologies for VR-based human interaction. A dataset of 2259 peer-reviewed articles (2005-2025) retrieved from Scopus and Web of Science was analyzed. The results indicate a steady growth in scientific production (5.37% annual growth rate) and a highly collaborative research environment, structured around a limited core of journals and dominated by leading countries such as China (18.0%) and the United States (17.8%). Conceptual and thematic analyses reveal a transition toward human-centered and interaction-driven approaches, with increasing emphasis on multimodal, wearable, and physiological sensing technologies. At the same time, areas such as haptic and tactile feedback appear comparatively less represented within the analyzed thematic structures. The analyzed bibliometric trends indicate increasing thematic convergence between sensing technologies, materials science, and intelligent systems within VR research, with growing research interest in integrated and multimodal sensing approaches.
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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.