Evidence map›Paper›PMID 42908633›Full record

ArticleFrontiers in psychology2026

Multimodal characterization of male drivers' affect-relevant and workload-related responses in extra-long tunnel driving.

Han Kang, Shijian He, Wuyang Chen, Zhuming Chen, Kefu Yi, Jie Wang, Chenyu Xu

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Han Kang *School of Transportation, Changsha University of Science and Technology, Changsha, China.
Shijian He *School of Transportation, Changsha University of Science and Technology, Changsha, China.
Wuyang ChenCollege of Engineering, University of Georgia, Athens, GA, United States.
Zhuming ChenBusiness School, Soochow University, Suzhou, China.
Kefu YiSchool of Transportation, Changsha University of Science and Technology, Changsha, China.
Jie WangSchool of Transportation, Changsha University of Science and Technology, Changsha, China.
Chenyu XuCollege of Engineering, University of Georgia, Athens, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Extra-long tunnels can impose sustained perceptual, physiological, and regulatory demands on drivers, but affect-relevant and workload-related responses are difficult to assess continuously in naturalistic driving because subjective ratings are retrospective and cannot capture fine-grained spatial variation. Methods: This study developed a multimodal, label-free framework to characterize latent affect-relevant and workload-related response patterns during extra-long tunnel driving. A naturalistic driving experiment was conducted in a 4.9 km tunnel, during which physiological responses, driving behavior, and gaze measures were collected and organized as a third-order tensor (driver × indicator × segment). CANDECOMP/PARAFAC tensor decomposition was then applied to extract the dominant latent structure without subjective labels. Results: The selected rank-1 solution showed an association with route familiarity. Heart rate and frontal gaze measures contributed most strongly to the latent structure, with additional contributions from vehicle speed and electrodermal activity, suggesting a coupling among autonomic activation, visual attention regulation, and behavioral adaptation. Spatially, elevated factor loadings were observed near tunnel entrances, exits, and several interior segments, indicating that the response patterns observed in male drivers are not limited to transition zones but may also emerge during prolonged tunnel exposure. Discussion: The study provides exploratory multimodal evidence that may support the interpretation of affect-relevant and workload-related response structures and the identification of spatially differentiated response patterns that may inform further tunnel safety investigation.

Indexed as

affective processesdriving workloadmultimodal datanaturalistic drivingpsychophysiological responsesafety risk identification

Identifiers

PMID42908633
PMCPMC13682986

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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.