# Estimating psychophysiological loads by repeated temperature steps on humans using a state–space model

## TL;DR

This study explores how repeated temperature changes affect human psychophysiological loads and finds that larger temperature steps cause less stress on the autonomic nervous system.

## Contribution

A novel Bayesian state–space model is used to estimate accumulated effects of temperature steps on human health.

## Key findings

- Larger temperature steps (15 °C) caused less autonomic nervous system stress than smaller steps (10 °C).
- Psychophysiological loads were continuously enhanced during temperature step trials.
- The model distinguished accumulated effects from direct environmental change effects.

## Abstract

Humans are exposed to daily temperature differences indoors and outdoors worldwide; however, the associated risks to health and fatigue remain unclear. This study aimed to clarify the psychophysiological loads by repeated short-term temperature differences on Japanese individuals. Herein, 28 healthy individuals were repeatedly moved between two temperature environments, and their psychological/physiological responses to temperature differences in the environment were recorded [T26-26 (control), T26-31 (5 °C step), T26-36 (10 °C step), and T21-36 (15 °C step)]. We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. The Load to the autonomic nervous system was continuously enhanced (decreased high-frequency of RRI and increased low-frequency/high-frequency of RRI) in the trials with temperature steps, while it was less under the T21-36 (15 °C step) than under the T26-36 (10 °C step) condition. These findings could help formulate fatigue management approaches and recommend best practices to minimise adverse health effects related to sudden and uncontrollable environmental temperature steps/changes in everyday scenarios on the public.