Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

1.7K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.7K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

5.5K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
5.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026
Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026
Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Apr 27, 2026

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

8.2K

HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human-Computer Interaction:

Yunlong Shi1, Muyesaier Kuerban1, Yiyang Jin1

  • 1X-Laboratory of Intelligent Interaction (II X-LAB), School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary

Real-time strategy games reveal that multitasking and decision pressure significantly increase cognitive workload in novice players. Autonomic responses may reflect engagement, not just stress, highlighting multimodal workload assessment needs.

Keywords:
NASA-TLXcognitive loaddecision pressureheart rate variabilityhuman–computer interactionmultitaskingreal-time strategy gamesvisual complexitywearable biosensors

More Related Videos

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.7K
Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.1K

Related Experiment Videos

Last Updated: Apr 27, 2026

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

8.2K
Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.7K
Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.1K

Area of Science:

  • Human-Computer Interaction (HCI)
  • Cognitive Psychology
  • Human Factors Engineering

Background:

  • Real-time strategy (RTS) games offer a complex, ecologically valid environment for studying cognitive workload dynamics.
  • Understanding workload is crucial for optimizing user experience and performance in demanding interactive systems.

Purpose of the Study:

  • To investigate the impact of multitasking, visual complexity, and decision pressure on workload in novice RTS players.
  • To explore the relationship between physiological measures (HRV) and subjective/objective workload indicators.
  • To examine how autonomic responses relate to workload in complex interactive environments.

Main Methods:

  • A multimodal approach combining Heart Rate Variability (HRV), NASA-TLX subjective workload, behavioral metrics, and interviews.
  • 36 novice players participated in experiments manipulating multitasking and decision pressure within an RTS game context.
  • Analysis focused on group-level effects and individual-level correlations between HRV and workload.

Main Results:

  • High multitasking significantly increased subjective workload and task completion time (p < 0.001).
  • Decision pressure elevated subjective workload (p = 0.008) but did not impact performance.
  • HRV showed individual-level associations with workload, including expected positive correlations (LF power) and unexpected inverse correlations (stress index).

Conclusions:

  • Multitasking and decision pressure are key drivers of workload in RTS games.
  • Autonomic responses in complex tasks may indicate dynamic engagement rather than solely stress.
  • Multimodal assessment is valuable for understanding cognitive load in demanding HCI scenarios.
  • Findings offer insights for designing interfaces and evaluating workload in complex systems.