HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human–Computer Interaction: Cognitive Load in Real-Time Strategy Games

< 0.01). These findings suggest that autonomic responses in complex interactive environments may reflect dynamic engagement processes rather than uniform stress activation, supporting multimodal cognitive load assessment and offering transferable insights for interface design and workload evaluation in demanding HCI contexts.

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Publication Details

Journal
Sensors
Published
2026-04-01
DOI
https://doi.org/10.3390/s26072181
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human–Computer Interaction: Cognitive Load in Real-Time Strategy Games

Yunlong Shi, Muyesaier Kuerban, Yiyang Jin, Chaoyue Wang
Sensors
Human-Automation Interaction and Safety
article

HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human–Computer Interaction: Cognitive Load in Real-Time Strategy Games

Yunlong Shi, Muyesaier Kuerban, Yiyang Jin, Chaoyue Wang
article en

Abstract

< 0.01). These findings suggest that autonomic responses in complex interactive environments may reflect dynamic engagement processes rather than uniform stress activation, supporting multimodal cognitive load assessment and offering transferable insights for interface design and workload evaluation in demanding HCI contexts.

SensorsVol. 26(7)
Beihang University (CN)
Openalex Percentile: Top 31%
Human-Automation Interaction and Safety
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HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human–Computer Interaction: Cognitive Load in Real-Time Strategy Games — Yunlong Shi, Muyesaier Kuerban, et al. · Sensors (2026) | TGRS Research Map | TGRS