Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

Vilella, Salvador Boix; Saiz-Clar, Elena; León-Zarceño, Eva; Rosa, Miguel Ángel Serrano

doi:10.3390/su13179707

Cited by 7 publications

(5 citation statements)

References 40 publications

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“…As discussed below, evidence links extreme indoor temperatures with low student attendance, high teacher absenteeism, poor cognitive performance, and worse learning outcomes (⇡Barbic et al, 2019;⇡Boix-Vilella et al, 2021;⇡Dupont et al, 2023;⇡Simmons et al, 2008;⇡Toftum et al, 2021;⇡Wargocki et al, 2019). Figure 4.3 outlines the impact of climate change on the temperature and resilience of school buildings, as well as the impact of higher indoor temperatures on learning outcomes.…”

Section: The Impact Of Temperature On Learning Outcomesmentioning

confidence: 99%

The impact of climate change on education: An evidence synthesis focused on classroom experience in hot climates

Haßler,

Eso,

Villavicencio

et al. 2024

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Section: The Impact Of Temperature On Learning Outcomesmentioning

confidence: 99%

The impact of climate change on education: An evidence synthesis focused on classroom experience in hot climates

Haßler,

Eso,

Villavicencio

et al. 2024

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“…Despite this regulation, lighting has a component that directly affects people: color temperature [5]. This is determined from the radiation principle of a black body and can be categorized into two variations: cold light (blue light), which occurs within the 10,000 °K range; and warm light (red light), which occurs from 1000 °K [6,7].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

Alvarez-Garcia,

Zúñiga-Cañón,

Garcia-Sanchez

et al. 2024

Applied Sciences

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Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions and positively influence behavior. Intelligent RGB lighting systems based on environmental data measurements can substantially enhance the perception of comfort. This study presents a challenge that requires a holistic and integrated approach to implement an automatic RGB artificial lighting control system that can be utilized in various structures and indoor environments. Initially, the challenge spans the identification of environmental variables directly impacting comfort up to the careful selection of suitable sensors. The result is the development of a sophisticated and autonomous system that can adjust RGB lighting in real time, creating environments that are both comfortable and energy-efficient. This automated system fosters the creation of appropriate atmospheres across different contexts. The identification and monitoring of environmental variables are achieved through a neuro-fuzzy control mechanism, where fuzzy rules and membership functions are defined based on late positive potential timings and the influence of artificial lighting on human emotions. The outcomes from this study are an interconnected system capable of performing both online and offline operations to enable the monitoring of environmental variables and the efficient management of artificial lighting based on these metrics. A pilot study, with reference to an EEG wave registry system, yielded significant results. These tests had a statistically relevant result with an average frequency of approximately 9.8 Hz, indicative of a state of comfort among people. Despite a 10% deviation margin, 87% of measurements during the test remained consistent. This research study contributes to human behavior by fostering a relaxing environment and enabling a reduction in energy consumption through the use of efficient lighting. Moreover, the environment intention enables the creation of stimuli in three emotional states: activation, relaxation, and neutral, allowing behavioral adaptation to an intention to occur automatically in fluctuating environmental conditions.

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“…In psychological research, researchers have found that temperature can affect people's emotions (Boix-Vilella et al, 2021;Cai et al, 2021). Meteorological psychologists pointed out that temperature affects people's body, spirit, speech and behavior (Dijksterhuis et al, 2005;Kopec, 2018).…”

Section: Introductionmentioning

confidence: 99%

Video elicited physiological signal dataset considering indoor temperature factors

et al. 2023

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IntroductionHuman emotions vary with temperature factors. However, most studies on emotion recognition based on physiological signals overlook the influence of temperature factors. This article proposes a video induced physiological signal dataset (VEPT) that considers indoor temperature factors to explore the impact of different indoor temperature factors on emotions.MethodsThis database contains skin current response (GSR) data obtained from 25 subjects at three different indoor temperatures. We selected 25 video clips and 3 temperatures (hot, comfortable, and cold) as motivational materials. Using SVM, LSTM, and ACRNN classification methods, sentiment classification is performed on data under three indoor temperatures to analyze the impact of different temperatures on sentiment.ResultsThe recognition rate of emotion classification under three different indoor temperatures showed that anger and fear had the best recognition effect among the five emotions under hot temperatures, while joy had the worst recognition effect. At a comfortable temperature, joy and calmness have the best recognition effect among the five emotions, while fear and sadness have the worst recognition effect. In cold temperatures, sadness and fear have the best recognition effect among the five emotions, while anger and joy have the worst recognition effect.DiscussionThis article uses classification to recognize emotions from physiological signals under the three temperatures mentioned above. By comparing the recognition rates of different emotions at three different temperatures, it was found that positive emotions are enhanced at comfortable temperatures, while negative emotions are enhanced at hot and cold temperatures. The experimental results indicate that there is a certain correlation between indoor temperature and physiological emotions.

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Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

Cited by 7 publications

References 40 publications

The impact of climate change on education: An evidence synthesis focused on classroom experience in hot climates

The impact of climate change on education: An evidence synthesis focused on classroom experience in hot climates

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

Video elicited physiological signal dataset considering indoor temperature factors

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