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, Lu Chen

Abstract read

In one paragraph

Article 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.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yunlong ShiX-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0009-0000-7893-7379

Muyesaier KuerbanX-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0009-0002-0044-494X

Yiyang JinX-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0009-0005-9667-4433

Chaoyue WangX-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0009-0009-1091-1450

Lu ChenX-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0000-0002-0389-5474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time strategy (RTS) games provide a cognitively demanding and ecologically valid context for investigating workload dynamics in human-computer interaction (HCI). This multimodal study (HRV, NASA-TLX, behavior, interviews) examined multitasking, visual complexity, and decision pressure in 36 novice RTS players. High multitasking significantly increased subjective workload (total raw-TLX: from 22.50 ± 14.65 to 36.47 ± 20.19,

Indexed as

Biosensing TechniquesCognitionHeart RateWearable Electronic DevicesAdultFemaleHumansMaleMonitoring, PhysiologicUser-Computer InterfaceVideo GamesWorkloadYoung Adultcognitive loaddecision pressureheart rate variabilityhuman–computer interactionmultitaskingNASA-TLXreal-time strategy gamesvisual complexitywearable biosensors

Identifiers

PMID41977965

DOI10.3390/s26072181

PMCPMC13074747

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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 Socratic graph.