Investigating the effect of indoor thermal environment on occupants’ mental workload and task performance using electroencephalogram

Abstract Workers' performance in indoor offices can be greatly affected by the thermal condition of the environment. However, this effect can be difficult to quantify, especially when the thermal stress is a moderate increase or decrease in temperature and the work productivity cannot be directly measured. Subjects' high motivation to perform well under experimental conditions also causes difficulties in comparing their performance in different thermal environments. In order to overcome these limitations, this paper proposes a method to investigate the effect of the indoor thermal conditions on occupants' performance by studying occupants' mental workload measured by the electroencephalography (EEG) when they perform standardized cognitive tasks. An experiment integrating EEG mental workload measurement and cognitive tasks was implemented on 15 subjects. EEG data were collected while subjects were performing four cognitive tasks on computers. Based on previous studies, we propose a mental workload index calculated from the frontal theta and parietal alpha frequency band power. Within-subject comparisons were performed to investigate whether subjects' mental workload is statistically different under three different thermal environments, representing thermal sensations of slightly cool, neutral, and slightly warm. The results show that the effect of thermal environment varies across different individuals. By comparing the mental workload index among different thermal environments, we found that the slightly warm environment resulted in a relatively higher mental workload than the other two environments to achieve the same performance. The study provides promising insights into how the thermal environment influences occupants’ performance by affecting their mental workload from the neurophysiological perspective.

[1]  P A Hancock,et al.  Heat stress impairment of mental performance: a revision of tolerance limits. , 1981, Aviation, space, and environmental medicine.

[2]  Jorma Railio,et al.  The effect of air temperature on labour productivity in call centres—a case study , 2002 .

[3]  Elie Azar,et al.  Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings , 2012, J. Comput. Civ. Eng..

[4]  Takashi Akimoto,et al.  Thermal comfort and productivity - Evaluation of workplace environment in a task conditioned office , 2010 .

[5]  L. T. Wong,et al.  A multivariate-logistic model for acceptance of indoor environmental quality (IEQ) in offices , 2008 .

[6]  Olli Seppänen,et al.  Sick building syndrome, sensation of dryness and thermal comfort in relation to room temperature in an office building: Need for individual control of temperature , 1989 .

[7]  David Faulkner,et al.  Control of temperature for health and productivity in offices , 2004 .

[8]  Farrokh Jazizadeh,et al.  Non-Intrusive Detection of Respiration for Smart Control of HVAC System , 2017 .

[9]  Kristian Lukander,et al.  Estimating Brain Load from the EEG , 2009, TheScientificWorldJournal.

[10]  Carol C. Menassa,et al.  Energy use behaviors in buildings: Towards an integrated conceptual framework , 2017 .

[11]  Carol C. Menassa,et al.  Lightweight and adaptive building simulation (LABS) framework for integrated building energy and thermal comfort analysis , 2017 .

[12]  Houtan Jebelli,et al.  EEG-based workers' stress recognition at construction sites , 2018, Automation in Construction.

[13]  Kj McCartney,et al.  THERMAL COMFORT AND PRODUCTIVITY , 2002 .

[14]  P O Fanger,et al.  Indoor air quality in the 21st century: search for excellence. , 2000, Indoor air.

[15]  Colin M. Macleod Half a century of research on the Stroop effect: an integrative review. , 1991, Psychological bulletin.

[16]  Jørn Toftum,et al.  Remote Performance Measurement (RPM) – A new, internet-based method for the measurement of occupant performance in office buildings , 2005 .

[17]  Lauren Reinerman-Jones,et al.  Metrics for individual differences in EEG response to cognitive workload: Optimizing performance prediction , 2017 .

[18]  Michael F. Green,et al.  The MATRICS Consensus Cognitive Battery, part 1: test selection, reliability, and validity. , 2008, The American journal of psychiatry.

[19]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[20]  Y Yao,et al.  Heart rate variation and electroencephalograph--the potential physiological factors for thermal comfort study. , 2009, Indoor air.

[21]  William J. Fisk,et al.  Some Quantitative Relations between Indoor Environmental Quality and Work Performance or Health , 2006 .

[22]  L. T. Wong,et al.  An evaluation model for indoor environmental quality (IEQ) acceptance in residential buildings , 2009 .

[23]  William B. Rouse,et al.  Modeling the dynamics of mental workload and human performance in complex systems , 1993, IEEE Trans. Syst. Man Cybern..

[24]  Yeong G. Kwon,et al.  Recommended alert limits for perceptual motor loss in hot environments , 1992 .

[25]  Zhiwei Lian,et al.  Use of neurobehavioral tests to evaluate the effects of indoor environment quality on productivity , 2009 .

[26]  Houtan Jebelli,et al.  EEG Signal-Processing Framework to Obtain High-Quality Brain Waves from an Off-the-Shelf Wearable EEG Device , 2018, J. Comput. Civ. Eng..

[27]  William J. Fisk,et al.  Effect of temperature on task performance in officeenvironment , 2006 .

[28]  Li Lan,et al.  The effects of air temperature on office workers' well-being, workload and productivity-evaluated with subjective ratings. , 2010, Applied ergonomics.

[29]  G. Clausen,et al.  The effects of moderate heat stress and open-plan office noise distraction on SBS symptoms and on the performance of office work. , 2004, Indoor air.

[30]  Cheuk Ming Mak,et al.  The impact of indoor environmental quality on work productivity in university open-plan research offices , 2017 .

[31]  Carol C. Menassa,et al.  Personalized human comfort in indoor building environments under diverse conditioning modes , 2017 .

[32]  Maarten A. S. Boksem,et al.  Mental fatigue: Costs and benefits , 2008, Brain Research Reviews.

[33]  Joseph G. Allen,et al.  Associations of Cognitive Function Scores with Carbon Dioxide, Ventilation, and Volatile Organic Compound Exposures in Office Workers: A Controlled Exposure Study of Green and Conventional Office Environments , 2015, Environmental health perspectives.

[34]  R Goldstein,et al.  Effect of task difficulty and interstimulus interval on blink parameters. , 1992, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[35]  Chungyoon Chun,et al.  Effect of temperature on attention ability based on electroencephalogram measurements , 2019, Building and Environment.

[36]  Fred G. W. C. Paas,et al.  The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures , 1992 .

[37]  R. Silberstein,et al.  Evaluation of cognitive performance in the heat by functional brain imaging and psychometric testing. , 2001, Comparative biochemistry and physiology. Part A, Molecular & integrative physiology.

[38]  Babak Memarian,et al.  Task Demands in Masonry Work: Sources, Performance Implications, and Management Strategies , 2013 .

[39]  Carol C. Menassa,et al.  Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography , 2018, Energy and Buildings.

[40]  Pawel Wargocki,et al.  The performance and subjective responses of call-center operators with new and used supply air filters at two outdoor air supply rates. , 2004, Indoor air.

[41]  John E. Taylor,et al.  Assessing Task Mental Workload in Construction Projects: A Novel Electroencephalography Approach , 2017 .

[42]  Olli Seppänen,et al.  A model to estimate the cost effectiveness of the indoor environment improvements in office work , 2004 .

[43]  P. Fanger,et al.  Impact of Temperature and Humidity on the Perception of Indoor Air Quality , 1998 .

[44]  Carol C. Menassa,et al.  Investigating the Neurophysiological Effect of Thermal Environment on Individuals’ Performance Using Electroencephalogram , 2019, Computing in Civil Engineering 2019.

[45]  Min Zhao,et al.  Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic , 2011, Expert Syst. Appl..

[46]  S Razmjou Mental workload in heat: toward a framework for analyses of stress states. , 1996, Aviation, space, and environmental medicine.

[47]  Wing Jf,et al.  Upper thermal tolerance limits for unimpaired mental performance. , 1965 .

[48]  H. Gr Compensatory control in the regulation of human performance under stress and high workload; a cognitive-energetical framework. , 1997 .

[49]  Luisa F. Cabeza,et al.  Heating and cooling energy trends and drivers in buildings , 2015 .

[50]  Jouvan Chandra Pratama Putra A Study of Thermal Comfort and Occupant Satisfaction in Office Room , 2017 .

[51]  William J. Fisk,et al.  WORKER PERFORMANCE AND VENTILATION: ANALYSES OF INDIVIDUAL DATA FOR CALL-CENTER WORKERS , 2002 .

[52]  W. Klimesch EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[53]  W. Fisk HEALTH AND PRODUCTIVITY GAINS FROM BETTER INDOOR ENVIRONMENTS AND THEIR RELATIONSHIP WITH BUILDING ENERGY EFFICIENCY , 2000 .

[54]  L. Trejo,et al.  EEG-Based Estimation and Classification of Mental Fatigue , 2015 .

[55]  Povl Ole Fanger,et al.  COST-BENEFIT ANALYSIS OF IMPROVED AIR QUALITY IN AN OFFICE BUILDING , 2002 .

[56]  M Frontczak,et al.  Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. , 2012, Indoor air.

[57]  Ian J Deary,et al.  A free, easy-to-use, computer-based simple and four-choice reaction time programme: The Deary-Liewald reaction time task , 2011, Behavior research methods.

[58]  Chungyoon Chun,et al.  Measurement of occupants' stress based on electroencephalograms (EEG) in twelve combined environments , 2015 .

[59]  Burcin Becerik-Gerber,et al.  Monitoring fatigue in construction workers using physiological measurements , 2017 .

[60]  Shinichi Tanabe,et al.  Workplace productivity and individual thermal satisfaction , 2015 .

[61]  Chao Li,et al.  Realization of stress detection using psychophysiological signals for improvement of human-computer interactions , 2005, Proceedings. IEEE SoutheastCon, 2005..

[62]  R B Welch,et al.  The validity of a visual searching task as an indicator of brain damage. , 1973, Journal of consulting and clinical psychology.

[63]  Carol C. Menassa,et al.  A Personalized HVAC Control Smartphone Application Framework for Improved Human Health and Well-Being , 2017 .

[64]  Ying Le-an,et al.  Brief review on physiological and biochemical evaluations of human mental workload , 2012 .

[65]  Drew Dawson,et al.  Perception of simulated driving performance after sleep restriction and caffeine. , 2007, Journal of psychosomatic research.

[66]  P A Hancock,et al.  Effects of heat stress on cognitive performance: the current state of knowledge , 2003, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[67]  Li Lan,et al.  Neurobehavioral approach for evaluation of office workers' productivity : The effects of room temperature , 2009 .