Investigating Heart Rate Responses to Different Speaking Behaviours under Different Thermal Sensations

This study examines the effects of different speaking behaviors—Silent, Speech, and Conversation—on heart rate (HR) under varying thermal sensation (TS) levels. The research investigates how HR responds to the interaction of behaviors and thermal conditions, using statistical analyses and polynomial regression to identify trends and patterns. The results show distinct HR responses across the three behaviors, with Silent exhibiting the most stable and consistent patterns, Speech showing the highest variability, and Conversation displaying intermediate responses. These findings highlight the dynamic interplay between speaking behaviors and thermal environments, demonstrating that behaviors like Speech and Conversation can influence physiological responses differently depending on thermal conditions. This study underscores the importance of distinguishing between speaking behaviors when analyzing physiological responses in thermal environments. By identifying behavior-specific patterns, the research provides valuable insights for fields such as thermal comfort, environmental ergonomics, and human physiology.

Authors

Publication Details

Journal
CIB Conferences
Published
2025-06-19
DOI
https://doi.org/10.7771/3067-4883.2100
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating Heart Rate Responses to Different Speaking Behaviours under Different Thermal Sensations

X. Zhang, Ji Luo, Minhyun Lee, Nyme Mohammad Uddin
1 links
CIB Conferences
Heart Rate Variability and Autonomic Control
article

Investigating Heart Rate Responses to Different Speaking Behaviours under Different Thermal Sensations

X. Zhang, Ji Luo, Minhyun Lee, Nyme Mohammad Uddin
article en

Abstract

This study examines the effects of different speaking behaviors—Silent, Speech, and Conversation—on heart rate (HR) under varying thermal sensation (TS) levels. The research investigates how HR responds to the interaction of behaviors and thermal conditions, using statistical analyses and polynomial regression to identify trends and patterns. The results show distinct HR responses across the three behaviors, with Silent exhibiting the most stable and consistent patterns, Speech showing the highest variability, and Conversation displaying intermediate responses. These findings highlight the dynamic interplay between speaking behaviors and thermal environments, demonstrating that behaviors like Speech and Conversation can influence physiological responses differently depending on thermal conditions. This study underscores the importance of distinguishing between speaking behaviors when analyzing physiological responses in thermal environments. By identifying behavior-specific patterns, the research provides valuable insights for fields such as thermal comfort, environmental ergonomics, and human physiology.

CIB ConferencesVol. 1(1)
Gender equality
Openalex Percentile: Top 75%
Heart Rate Variability and Autonomic Control
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