Analyzing the impact of indoor environmental quality on physiological responses and work performance: Implications for IEQ control strategies

Awada, 2021, Working from home during the COVID-19 pandemic: impact on office worker productivity and work experience, Work, 69, 1171, 10.3233/WOR-210301 Saini, 2020, A comprehensive review on indoor air quality monitoring systems for enhanced public health, Sustain. Environ. Res., 30, 10.1186/s42834-020-0047-y Frontczak, 2020, Automated classification of indoor environmental quality control using stacked ensembles based on electroencephalograms, Build. Environ., 46, 448 Kim, 2020, Automated classification of indoor environmental quality control using stacked ensembles based on electroencephalograms, Comput. Civ. Infrastruct. Eng., 35, 448, 10.1111/mice.12515 Scoulas, 2019, The library's impact on university students' academic success and learning, Evid. Based Libr. Inf. Pract., 14, 2, 10.18438/eblip29547 Jan, 2019, Emotional intelligence, library use and academic achievement of university students, J. Aust. Libr. Inf. Assoc., 68, 38 Min, 2020, Space-choice behavior for individual study in a digital reading room, J. Acad. Librarian, 46, 10.1016/j.acalib.2020.102131 Shim, 2020, College students' experience of emergency remote teaching due to COVID-19, Child. Youth Serv. Rev., 119, 10.1016/j.childyouth.2020.105578 Kim, 2013, Gender differences in office occupant perception of indoor environmental quality (IEQ), Build, Environ. Times, 70, 245 Vijapur, 2021, A ten-year review of primary school flexible learning environments: interior design and ieq performance, Buildings, 11, 1, 10.3390/buildings11050183 Mazon, 2014, The influence of thermal discomfort on the attention index of teenagers: an experimental evaluation, Int. J. Biometeorol., 58, 717, 10.1007/s00484-013-0652-0 Cui, 2013, Influence of indoor air temperature on human thermal comfort, motivation and performance, Build. Environ., 68, 114, 10.1016/j.buildenv.2013.06.012 Lan, 2009, Neurobehavioral approach for evaluation of office workers' productivity: the effects of room temperature, Build. Environ., 44, 1578, 10.1016/j.buildenv.2008.10.004 Kjellstrom, 2009, Workplace heat stress, health and productivity-an increasing challenge for low and middle-income countries during climate change, Glob. Health Action, 2, 10.3402/gha.v2i0.2047 Singh, 2019, Progress in thermal comfort studies in classrooms over last 50 years and way forward, Energy Build., 188–189, 149, 10.1016/j.enbuild.2019.01.051 Geng, 2017, The impact of thermal environment on occupant IEQ perception and productivity, Build. Environ., 121, 158, 10.1016/j.buildenv.2017.05.022 Khalid, 2022, How does the indoor environment affect mental health when working remotely, 20, 287 Fisk, 2002, Cost of bad IEQ, ASHRAE .J, 44, 56 Fisk, 1997, Estimates of improved productivity and health from better indoor environments, Indoor Air, 7, 158, 10.1111/j.1600-0668.1997.t01-1-00002.x Fisk, 2019, Do indoor CO2 levels directly affect perceived air quality, health, or work performance?, ASHRAE .J, 61, 70 Milton, 2000, Risk of sick leave associated with outdoor air supply rate, humidification, and occupant complaints, Indoor Air, 10, 212, 10.1034/j.1600-0668.2000.010004212.x Mohebian, 2018, Evaluation of the combined effects of heat and lighting on the level of attention and reaction time: climate chamber experiments in Iran, Sci. World J., 2018, 10.1155/2018/5171582 Knez, 2014, Affective and cognitive reactions to subliminal flicker from fluorescent lighting, Conscious, Cognitiva, 26, 97 Knez, 1995, Effects of indoor lighting on mood and cognition, J. Environ. Psychol., 15, 39, 10.1016/0272-4944(95)90013-6 Hygge, 2001, Effects of noise, heat and indoor lighting on cognitive performance and self-reported affect, J. Environ. Psychol., 21, 291, 10.1006/jevp.2001.0222 Ljung, 2009, Poor listening conditions impair memory for intelligible lectures: implications for acoustic classroom standards, Build, Acoust., 16, 257 Ma, 2018, A systematic review of human perceptual dimensions of sound: meta-analysis of semantic differential method applications to indoor and outdoor sounds, Build. Environ., 133, 123, 10.1016/j.buildenv.2018.02.021 Mehta, 2012, Is noise always bad? exploring the effects of ambient noise on creative cognition, J. Consum. Res., 39, 784, 10.1086/665048 Van Kempen, 2010, Neurobehavioral effects of transportation noise in primary schoolchildren: a cross-sectional study, Environ. Heal. A Glob. Access Sci. Source, 9, 1 Yu, 2023, Effects of illuminance and color temperature of a general lighting system on psychophysiology while performing paper and computer tasks, Build. Environ., 228, 10.1016/j.buildenv.2022.109796 Tong, 2023, Research on the preferred illuminance in office environments based on EEG, Buildings, 13, 10.3390/buildings13020467 Castilla, 2023, The effects of illuminance on students' memory. A neuroarchitecture study, Build. Environ., 228, 10.1016/j.buildenv.2022.109833 Manohare, 2023, Analysing the change in brain waves due to heterogeneous road traffic noise exposure using electroencephalography measurements, Noise Health, 25, 36 Mir, 2022, Investigating the effects of different levels and types of construction noise on emotions using EEG data, Build. Environ., 225, 10.1016/j.buildenv.2022.109619 Frescura, 2022, Effect of neighbours sounds in wooden residential buildings on restorative EEG rhythm (Alpha waves), Internoise 2022 - 51st, Int. Congr. Expo. Noise Control Eng. Sun, 2021, Probability mass functions forecasting of occupants' sensation votes under the effects of temperature, illuminance, and sound level based on ANN, J. Build. Eng., 43 Yang, 2018, Combined effects of sound and illuminance on indoor environmental perception, Appl. Acoust., 141, 136, 10.1016/j.apacoust.2018.07.008 Wu, 2020, Investigation of the relationships between thermal, acoustic, illuminous environments and human perceptions, J. Build. Eng., 32 Chen, 2015, Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning, Expert Syst. Appl., 42, 7344, 10.1016/j.eswa.2015.05.028 Wang, 2019, Investigating the effect of indoor thermal environment on occupants' mental workload and task performance using electroencephalogram, Build. Environ., 158, 120, 10.1016/j.buildenv.2019.05.012 Lan, 2011, Effects of thermal discomfort in an office on perceived air quality, SBS symptoms, physiological responses, and human performance, Indoor Air, 21, 376, 10.1111/j.1600-0668.2011.00714.x Kotowski, 2018, Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing, Biocybern. Biomed. Eng., 38, 773, 10.1016/j.bbe.2018.06.006 Choi, 2015, Measurement of occupants' stress based on electroencephalograms (EEG) in twelve combined environments, Build. Environ., 88, 65, 10.1016/j.buildenv.2014.10.003 Caporale, 2022, Assessing the impact of environmental quality factors on the industrial performance of aged workers: a literature review, Saf. Sci., 149, 10.1016/j.ssci.2022.105680 Gocer, 2022, Overlaps in space utilisation patterns and IEQ conditions observed in Activity-Based Working supportive office, Build. Environ., 220, 10.1016/j.buildenv.2022.109273 Wu, 2022, Influence of thermal and lighting factors on human perception and work performance in simulated underground environment, Sci. Total Environ., 828, 10.1016/j.scitotenv.2022.154455 ter Mors, 2011, Adaptive thermal comfort in primary school classrooms: creating and validating PMV-based comfort charts, Build, Environ. Times, 46, 2454 Schiavon, 2013, Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures, Build. Environ., 59, 250, 10.1016/j.buildenv.2012.08.024 Yang, 1997, An approach to building Energy savings using the PMV index, Build. Environ., 32, 25, 10.1016/S0360-1323(96)00027-3 Pourshaghaghy, 2012, Examination of thermal comfort in a hospital using PMV-PPD model, Appl. Ergon., 43, 1089, 10.1016/j.apergo.2012.03.010 Choi, 2019, Effect of temperature on attention ability based on electroencephalogram measurements, Build. Environ., 147, 299, 10.1016/j.buildenv.2018.10.020 Tham, 2005, Temperature and ventilation effects on performance and neurobehavioral- related symptoms of tropically acclimatized call center operators near thermal neutrality, Build. Eng., 111 PART 2, 687 Ye, 2005, Effects of transforming growth factor-beta/Smad signaling on the growth and apoptosis of human rhabdomyosarcoma cell line RD, Zhonghua Bing Li Xue Za Zhi, 34, 407 Zhai, 2018, Indirect calorimetry on the metabolic rate of sitting, standing and walking office activities, Build. Environ., 145, 77, 10.1016/j.buildenv.2018.09.011 Zhang, 2020, Improving predicted mean vote with inversely determined metabolic rate, Sustain. Cities Soc., 53, 10.1016/j.scs.2019.101870 Havenith, 2002, Personal factors in thermal comfort assessment: clothing properties and metabolic heat production, Energy Build., 34, 581, 10.1016/S0378-7788(02)00008-7 Bartlett, 2004, Modeling of occupant-generated CO2 dynamics in naturally ventilated classrooms, J. Occup. Environ. Hyg., 1, 139, 10.1080/15459620490424393 Dai, 2018, Long-term monitoring of indoor CO2 and PM2.5 in Chinese homes: concentrations and their relationships with outdoor environments, Build. Environ., 144, 238, 10.1016/j.buildenv.2018.08.019 Hong, 2018, Integrated task performance score for the building occupants based on the CO2 concentration and indoor climate factors changes, Appl. Energy, 228, 1707, 10.1016/j.apenergy.2018.07.063 Asakawa, 2019, Adaptation time, electroretinography, and pupillography in healthy subjects, Doc. Ophthalmol., 139, 33, 10.1007/s10633-019-09693-8 Kim, 2020, A psychophysiological effect of indoor thermal condition on college students' learning performance through EEG measurement, Build, Environ. Times, 184 Baek, 2015, Blue light aids in coping with the post-lunch dip: an EEG study, Ergonomics, 58, 803, 10.1080/00140139.2014.983300 Yeom, 2021, Psychological and physiological effects of a green wall on occupants: a cross-over study in virtual reality, Build. Environ., 204, 10.1016/j.buildenv.2021.108134 Hasan, 2021, Modulation of recognition memory performance by light and its relationship with cortical EEG theta and gamma activities, Biochem. Pharmacol., 191, 10.1016/j.bcp.2020.114404 Lu, 2020, Research on work efficiency and light comfort based on EEG evaluation method, Build. Environ., 183, 10.1016/j.buildenv.2020.107122 Lee, 2021, Investigation of bio-signal changes of occupants resting in buildings using local cooling and heating seats, Energy Build., 245, 10.1016/j.enbuild.2021.111092 Li, 2021, Research on environmental comfort and cognitive performance based on EEG+VR+LEC evaluation method in underground space, Build. Environ., 198, 10.1016/j.buildenv.2021.107886 Li, 2020, Building environment information and human perceptual feedback collected through a combined virtual reality (VR) and electroencephalogram (EEG) method, Energy Build., 224, 10.1016/j.enbuild.2020.110259 Olszewska-Guizzo, 2020, Can exposure to certain urban green spaces trigger frontal alpha asymmetry in the brain?—preliminary findings from a passive task EEG study, Int. J. Environ. Res. Publ. Health, 17, 10.3390/ijerph17020394 Chen, 2020, EEG emotion recognition model based on the LIBSVM classifier, Meas. J. Int. Meas. Confed., 164 Rahman, 2021, Recognition of human emotions using EEG signals: a review, Comput. Biol. Med., 136, 10.1016/j.compbiomed.2021.104696 Khosla, 2020, A comparative analysis of signal processing and classification methods for different applications based on EEG signals, Biocybern. Biomed. Eng., 40, 649, 10.1016/j.bbe.2020.02.002 Shahabi, 2016, Toward automatic detection of brain responses to emotional music through analysis of EEG effective connectivity, Comput. Hum. Behav., 58, 231, 10.1016/j.chb.2016.01.005 Lai, 2019, Physiological signals anticipatory computing for individual emotional state and creativity thinking, Comput. Hum. Behav., 101, 450, 10.1016/j.chb.2018.05.015 Zapała, 2020, The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control, Sci. Rep., 10, 1, 10.1038/s41598-020-59222-w Sannelli, 2019 Stieger, 2021, Continuous sensorimotor rhythm based brain computer interface learning in a large population, Sci. Data, 8, 1, 10.1038/s41597-021-00883-1 Jeunet, 2019, Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: theoretical background, applications and prospects, Neurophysiol. Clin., 49, 125, 10.1016/j.neucli.2018.10.068 Kropotov, 2005, ERPs correlates of EEG relative beta training in ADHD children, Int. J. Psychophysiol., 55, 23, 10.1016/j.ijpsycho.2004.05.011 Cowdin, 2014, Theta frequency activity during rapid eye movement (REM) sleep is greater in people with resilience versus PTSD, Exp. Brain Res., 232, 1479, 10.1007/s00221-014-3857-5 Landolt, 2004, Caffeine attenuates waking and sleep electroencephalographic markers of sleep homeostasis in humans, Neuropsychopharmacology, 29, 1933, 10.1038/sj.npp.1300526 Jo, 2021, The effect of forest video using virtual reality on the stress reduction of university students focused on c university in Korea, Int. J. Environ. Res. Publ. Health, 18, 10.3390/ijerph182312805 Kim, 2021, Comparing concentration levels and emotional states of children using electroencephalography during horticultural and nonhorticultural activities, Hortscience, 56, 324, 10.21273/HORTSCI15522-20 Kiiski, 2020, EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD, Eur. J. Neurosci., 51, 2095, 10.1111/ejn.14645 Saad, 2018, Is the theta/beta EEG marker for ADHD inherently flawed?, J. Atten. Disord., 22, 815, 10.1177/1087054715578270 Lee, 2021, Attention and emotional states during horticultural activities of adults in 20s using electroencephalography: a pilot study, Sustain. Times, 13, 1 Jeong, 2022, Physiological and psychological responses to coding combined with horticultural activity, Hortscience, 57, 154, 10.21273/HORTSCI16201-21 Kim, 2020, Foliage plants improve concentration and emotional condition of elementary school students performing an intensive assignment, Hortscience, 55, 378, 10.21273/HORTSCI14757-19 Rimbert, 2023, Long-term kinesthetic motor imagery practice with a BCI: impacts on user experience, motor cortex oscillations and BCI performances, Comput. Hum. Behav., 146, 10.1016/j.chb.2023.107789 Homan, 1987, Cerebral location of international 10-20 system electrode placement, Electroencephalogr. Clin. Neurophysiol., 66, 376, 10.1016/0013-4694(87)90206-9 Herwig, 2003, Using the international 10-20 EEG system for positioning of transcranial magnetic stimulation, Brain Topogr., 16, 95, 10.1023/B:BRAT.0000006333.93597.9d Daffner, 2000, The central role of the prefrontal cortex in directing attention to novel events, Brain, 123, 927, 10.1093/brain/123.5.927 Janapati, 2021, Advances in modern EEG-BCI signal processing: a review, Mater. Today Proc., 80, 2563, 10.1016/j.matpr.2021.06.409 Naser, 2022, Classification of pleasant and unpleasant odor imagery EEG signals, Neural Comput. Appl., 35, 9105 Mert, 2018, Emotion recognition based on time–frequency distribution of EEG signals using multivariate synchrosqueezing transform, Digit. Signal Process. A Rev. J., 81, 106, 10.1016/j.dsp.2018.07.003 Pei, 2018, Effects of an integrated neurofeedback system with dry electrodes: EEG acquisition and cognition assessment, Sensors, 18 Jeong, 2021, Physiological and psychological effects of visual stimulation with green plant types, Int. J. Environ. Res. Publ. Health, 18, 10.3390/ijerph182412932 Choi, 2022, Effects of olfactory stimulation with aroma oils on psychophysiological responses of female adults, Int. J. Environ. Res. Publ. Health, 19 Motalebi, 2021, The most effective indoor environmental quality factors related to worker satisfaction and performance: a case of the administrative office building at Ferdowsi University of Mashhad, Int. J. Occup. Saf. Ergon., 27, 358, 10.1080/10803548.2019.1582886 Altomonte, 2019, Indoor environmental quality and occupant satisfaction in green-certified buildings, Build. Res. Inf., 47, 255, 10.1080/09613218.2018.1383715 van Maanen, 2009, Stroop and picture-word interference are two sides of the same coin, Psychon, Bull. Rev., 16, 987, 10.3758/PBR.16.6.987 Hong, 2018, Integrated task performance score for the building occupants based on the CO2 concentration and indoor climate factors changes, Appl. Energy, 228, 1707, 10.1016/j.apenergy.2018.07.063 Zhang, 2017, Effects of exposure to carbon dioxide and bioeffluents on perceived air quality, self-assessed acute health symptoms, and cognitive performance, Indoor Air, 27, 47, 10.1111/ina.12284 Yin, 2023, FoMO and the brain: loneliness and problematic social networking site use mediate the association between the topology of the resting-state EEG brain network and fear of missing out, Comput. Hum. Behav., 141, 10.1016/j.chb.2022.107624 Cappa, 2018, Bring them aboard: rewarding participation in technology-mediated citizen science projects, Comput. Hum. Behav., 89, 246, 10.1016/j.chb.2018.08.017 Izzati, 2022, Yuri lolita, olievia prabandini mulyana, professional commitment in terms of gender and tenure of vocational high school teachers, IJORER Int. J. Recent Educ. Res., 3, 135, 10.46245/ijorer.v3i2.193 Alghamdi, 2022, Effect of architectural building design parameters on thermal comfort and Energy consumption in higher education buildings, Buildings, 12, 10.3390/buildings12030329 Örün, 2019, Effect of multitasking, physical environment and electroencephalography use on cognitive load and retention, Comput. Hum. Behav., 92, 216, 10.1016/j.chb.2018.11.027 Kim, 2014, Statistical notes for clinical researchers: two-way analysis of variance (ANOVA)-exploring possible interaction between factors, Restor. Dent. Endod., 39, 143, 10.5395/rde.2014.39.2.143 Wilcox, 2022, Two-way ANOVA: inferences about interactions based on robust measures of effect size, Br. J. Math. Stat. Psychol., 75, 46, 10.1111/bmsp.12244 Senthilnathan, 2019 Gogtay, 2017, Principles of correlation analysis, J. Assoc. Phys. India, 65, 78 Akoglu, 2018, User's guide to correlation coefficients, Turk. J. Emerg. Med., 18, 91, 10.1016/j.tjem.2018.08.001 Zhou, 2016, A new sampling method in particle filter based on Pearson correlation coefficient, Neurocomputing, 216, 208, 10.1016/j.neucom.2016.07.036 Puth, 2014, Effective use of Pearson's product-moment correlation coefficient, Anim. Behav., 93, 183, 10.1016/j.anbehav.2014.05.003 Baak, 2020, A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics, Comput. Stat. Data Anal., 152, 10.1016/j.csda.2020.107043 Edelmann, 2021, On relationships between the Pearson and the distance correlation coefficients, Stat. Probab. Lett., 169, 10.1016/j.spl.2020.108960 Asuero, 2006, The correlation coefficient: an overview, Crit. Rev. Anal. Chem., 36, 41, 10.1080/10408340500526766 Mukaka, 2012, Malawi Med. J., 24, 69 Duckworth, 2018, On the origins of adaptive behavioral complexity: developmental channeling of structural trade-offs, Adv. Stud. Behav., 50, 1, 10.1016/bs.asb.2017.10.001 Pandharipande, 2019, Connected street lighting infrastructure for smart city applications, IEEE Internet Things Mag., 2, 32, 10.1109/IOTM.001.1900018 Koley, 2020, Challenges in sustainable development of smart cities in India, Sustain. Times, 13, 155, 10.1089/sus.2020.0017