E-happiness physiological indicators of construction workers' productivity: A machine learning approach

References

• Abdul Kadir, M. W., M. S. Lee, S. M. Jaafar, A. A. A. Sapuan, M. Ali, A. Kadir, W. Lee, M. Jaafar, S. Sapuan, and A. Ali. 2005. “Structural Survey Factors Affecting Construction Labour Productivity for Malaysian Residential Projects.” Structural Survey Benchmarking an International Journal of Structural Survey 23 (5): 192–206.
   Google Scholar
• Adolphs, R. 2002. “Recognizing Emotion from Facial Expressions: Psychological and Neurological Mechanisms.” Behavioral and Cognitive Neuroscience Reviews 1 (1): 21–62. doi:10.1177/1534582302001001003.
   PubMedGoogle Scholar
• Ailabouni, N., N. Painting, and P. Ashton, “Factors Affecting Employee Productivity in the UAE Construction Industry,” in 25th Annual ARCOM Conference, Nottingham, UK, 7-9 September 2009, 2009, pp. 555–564. DOI:10.1177/1753193408102773.
   Google Scholar
• Alavinia, S. M., C. van Duivenbooden, and A. Burdorf. 2007. “Influence of Work-related Factors and Individual Characteristics on Work Ability among Dutch Construction Workers.” Scandinavian Journal of Work, Environment & Health 33 (5): 351–357. doi:10.5271/sjweh.1151.
   PubMed Web of Science ®Google Scholar
• Barak, Y. 2006. “The Immune System and Happiness.” Autoimmunity Reviews 5: 523–527. doi:10.1016/j.autrev.2006.02.010.
   PubMed Web of Science ®Google Scholar
• Broch-Due, I., H. L. Kjaerstad, L. V. Kessing, and K. Miskowiak. 2018. “Subtle Behavioural Responses during Negative Emotion Reactivity and Downregulation in Bipolar Disorer: A Facial Expression and Eye-tracking Study.” Psychiatry Research 266: 152–159. doi:10.1016/j.psychres.2018.04.054.
   Web of Science ®Google Scholar
• D’Acquisto, F., L. Rattazzi, and G. Piras. 2014. “Smile-It’s in Your Blood.” Biochemical Pharmacology 91: 287–292. doi:10.1016/j.bcp.2014.07.016.
   Web of Science ®Google Scholar
• Guo, J., S. Mrug, and D. C. Knight. 2017. “Emotion Socialization as a Predictor of Physiological and Psychological Responses to Stress.” Physiology & Behavior 175: 119–129. doi:10.1016/j.physbeh.2017.03.046.
   Web of Science ®Google Scholar
• Halkos, G., and D. Bousinakis. 2010. “The Effect of Stress and Satisfaction on Productivity.” International Journal of Productivity and Performance Management 59 (5, Jun.): 415–431. doi:10.1108/17410401011052869.
   Google Scholar
• Hassani, S., I. Bafadel, A. Bekhatro, E. Al Blooshi, S. Ahmed, and M. Alahmad, “Physiological Signal-based Emotion Recognition System,” in 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 29 Nov - 01 Dec, AMA International University, Bahrain, 2017, pp. 1–5.
   Google Scholar
• Hickson, B. G., and L. A. Ellis. 2014. “Factors Affecting Construction Labour Productivity in Trinidad and Tobago.” Journal of Associate Professor Process Engineering Trinidad Tobago 42 (1): 4–11.
   Google Scholar
• Hwang, S., H. Jebelli, B. Choi, and M. Choi. 2018. “Measuring Worker’s Emotional State during Construction Tasks Using Wearable EEG.” Journal of Construction Engineering and Management 144. doi:10.1061/(ASCE)CO.1943-7862.0001506.
   Web of Science ®Google Scholar
• Hwang, S., and S. H. Lee. 2017. “Wristband-type Wearable Health Devices to Measure Construction Workers’ Physical Demands.” Automation in Construction 83: 330–340. doi:10.1016/j.autcon.2017.06.003.
   Web of Science ®Google Scholar
• Ilmarinen, J., K. Tuomi, L. Eskelinen, C. H. Nygard, P. Huuhtanen, and M. Klockars. 1991. “Background and Objectives of the Finnish Research Project on Aging Workers in Municipal Occupations.” Scandinavian Journal of Work, Environment & Health 17 (SUPPL. 1): 7–11.
   PubMedGoogle Scholar
• Infrastructure and Project Authority. 2016. Government Construction Strategy 2016-2020. London.
   Google Scholar
• Ironson, G., N. Banerjee, C. Fitch, and N. Krause. 2018. “Positive Emotional Well-being, Health Behaviors, and Inflammation Measured by C-Reactive Proten.” Social Science & Medicine 197: 235–243. doi:10.1016/j.socscimed.2017.06.020.
   PubMed Web of Science ®Google Scholar
• Jang, H., K. Kim, J. Kim, and J. Kim. 2011. “Labour Productivity Model for Reinforced Concrete Construction Projects.” Construction Innovation 11 (1): 92–113. doi:10.1108/14714171111104655.
   Google Scholar
• Jarkas, A. M., and C. G. Bitar. 2012. “Factors Affecting Construction Labour Productivity in Kuwait.” Journal of Construction Engineering and Management 138 (July): 811–820. doi:10.1061/(ASCE)CO.1943-7862.0000501.
   Google Scholar
• Kalat, J. 2016. Biological Psychology. 12th ed. C.A.: Wadsworth.
   Google Scholar
• Kim, J., and E. André. 2008. “Emotion Recognition Based on Physiological Changes in Music Listening.” IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (12): 2067–2083. doi:10.1109/TPAMI.2008.26.
   PubMed Web of Science ®Google Scholar
• Koelstra, S., Lee, J., and Pun, T. 2012. “DEAP: A Database for Emotion Analysis; Using Physiological Signals.” IEEE Transactions on Affective Computing 3 (1): 18–31. DOI:10.1109/T-AFFC.2011.15.
   Web of Science ®Google Scholar
• Light Stone Factory | Light Stone Factory.” [Online]. Accessed March 05 2018. http://lightstone.ae/eng/
   Google Scholar
• Martin, A. 2008. “The Role of Positive Psychology in Enhancing Satisfaction, Motivation and Productivity in the Workplace.” Journal of Organizational Behavior Management 24: 113–133. doi:10.1300/J075v24n01_07.
   Google Scholar
• Michels, N., I. Sioen, I. Huybrechts, K. Bammann, B. Vanaelst, T. De Vriendt, L. Iacoviello, K. Konstabel, W. Ahrens, and S. De Henauw. 2012. “Negative Life Events, Emotions and Psychological Difficulties as Determinants of Salivary Cortisol in Belgian Primary School Children.” Psychoneuroendocrinology 37: 1506–1515. doi:10.1016/j.psyneuen.2012.02.004.
   Web of Science ®Google Scholar
• Ministry of Economy, “UAE Annual Economic Report 2016,” Abu Dhabi, 2016.
   Google Scholar
• Oswald, A. J., E. Proto, and D. Sgroi. 2015. “Happiness and Productivity.” Journal of Labor Economics 33 (4, Oct.): 789–822. doi:10.1086/681096.
   Web of Science ®Google Scholar
• Picard, R. W., E. Vyzas, and J. Healey. 2001. “Toward Machine Emotional Intelligence: Analysis of Affective Physiological State.” IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (10): 1175–1191. doi:10.1109/34.954607.
   Web of Science ®Google Scholar
• Porntepkasemsant, P., and S. Charoenpornpattana, “Factor Affecting Construction Labor Productivity in Thailand,” in IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, March 3–5, Dubai, UAE, 2015.
   Google Scholar
• Ragot, M., N. Martin, S. Em, N. Pallamin, and J.-M. Diverrez. 2018. Emotion Recognition Using Physiological Signals: Laboratory Vs. Wearable Sensors, 15–22. Cham: Springer.
   Google Scholar
• Schilirò, D., “Diversification and Development of the UAE’s Economy,” IDEAS Working Paper Series from RePEc. 2013.
   Google Scholar
• Shalini, B., and L. Vanitha. 2013. “Emotion Detection in Human Beings Using ECG Signals.” International Journal of Engineering Trends and Technology 4 (5): 1337–1342.
   Google Scholar
• Tarnowski, P., M. Kolodziej, A. Majkowski, and R. J. Rak. 2017. “Emotion Recognition Using Facial Expprssions.” Procedia Computer Science 10C: 1175–1185. doi:10.1016/j.procs.2017.05.025.
   Google Scholar
• Wenzler, S., M. Hagen, M. P. Tarvainen, M. Hilke, N. Ghirmai, A.-C. Huthmacher, M. Trettin, R. van Dick, A. Reif, and V. Oertel-Knochel. 2017. “Intensified Emotion Perception in Depression: Differences in Physiological Arousal and Subjective Perceptions.” Psychiatry Research 253: 303–310. doi:10.1016/j.psychres.2017.03.040.
   PubMed Web of Science ®Google Scholar