Open Access
Issue
E3S Web of Conf.
Volume 396, 2023
The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023)
Article Number 01110
Number of page(s) 7
Section Indoor Environmental Quality (IEQ), Human Health, Comfort and Productivity
DOI https://doi.org/10.1051/e3sconf/202339601110
Published online 16 June 2023
  1. N. E. Klepeis, W. C. Nelson, W. R. Ott, J. P. Robinson, A. M. Tsang, P. Switzer, J. V. Behar, S. C. Hern and W. H. Engelmann, “The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants,” Journal of Exposure Science & Environmental Epidemiology, vol. 11, pp. 231-252, 2001. [CrossRef] [Google Scholar]
  2. I. Mujan, A. S. Anđelković, V. Munćan, M. Kljajić and D. Ružić, “Influence of indoor environmental quality on human health and productivity - A review,” Journal of Cleaner Production, vol. 217, pp. 646-657, 2019. [CrossRef] [Google Scholar]
  3. V. L. Castaldo, I. Pigliautile, F. Rosso, F. Cotana, F. De Giorgio and A. L. Pisello, “How subjective and non-physical parameters affect occupants' environmental comfort perception,” Energy and Buildings, vol. 178, pp. 107-129, 2018. [CrossRef] [Google Scholar]
  4. L. E. Thomas, “Combating overheating: mixed-mode conditioning for workplace comfort,” Building Research & Information, vol. 45, no. 1-2, pp. 176-194, 2017. [Google Scholar]
  5. L. Anderson, A. L. Ostroma, C. Corus, R. P. Fisk, A. S. Gallan, M. Giraldo, M. Mende, M. Mulder, S. W. Rayburn, M. S. Rosenbaum, S. K. and J. D. Williams, “Transformative service research: An agenda for the future,” Journal of Business Research, vol. 66, no. 8, pp. 1203-1210, 2013. [CrossRef] [Google Scholar]
  6. K. W. Chan, C. K. B. Yim and S. S. K. Lam, “Is Customer Participation in Value Creation a Double-Edged Sword? Evidence from Professional Financial Services across Cultures,” Journal of Marketing, vol. 74, no. 3, pp. 48-64, 2010. [CrossRef] [Google Scholar]
  7. International Energy Agency, “Global Energy Crisis,” [Online]. Available: https://www.iea.org/topics/global-energy-crisis. [Accessed 10 12 2022]. [Google Scholar]
  8. A. Kick and H. Rottmann, “Sustainable Stocks and the Russian War on Ukraine-An Event Study in Europe,” Clemens Fuest, 2022. [Google Scholar]
  9. L. S. Mayer, “Estimating the effects of the onset of the energy crisis on residential energy demand,” Resources and Energy, vol. 1, no. 1, pp. 57-92, 1978. [CrossRef] [Google Scholar]
  10. A. Salas-Vallina, J. Alegre and Á. López-Cabrales, “The challenge of increasing employees' well-being and performance: How human resource management practices and engaging leadership work together toward reaching this goal,” Human Resource Management, vol. 60, no. 3, pp. 333-347, 2020. [Google Scholar]
  11. M. Schweiker, E. Ampatzi, M. S. Andargie, R. K. Andersen, E. Azar, V. M. Barthelmes, C. Berger, L. Bourikas, S. Carlucci, G. Chinazzo, L. P. Edappilly, M. Favero, S. Gauthier, ... and S. Zhang, “Review of multi -domain approaches to indoor environmental perception and behaviour,” Building and Environment, vol. 176, p. 106804, 2020. [CrossRef] [Google Scholar]
  12. M. Franke and C. Nadler, “Towards a holistic approach for assessing the impact of IEQ on satisfaction, health, and productivity,” Building Research & Information, vol. 49, no. 4, pp. 417-444, 2021. [Google Scholar]
  13. J. Kneebone, “A first look at ‘Save gas for a safe winter’: The EU’s fast-tracked proposal for protecting against a disconnection from Russian gas,” Florence School of Regulation, 28 07 2022. [Google Scholar]
  14. W. J. Fisk, “Health and Productivity Gains from Better Indoor Environments and their Relationship with Building Energy Efficiency,” Annual Review, vol. 25, pp. 537-566, 2000. [Google Scholar]
  15. D. G. Shendell, C. Barnett and S. Boese, “Science-based recommendations to prevent or reduce potential exposure to biological, chemical, and physical agents in schools,” Journal of School Health, vol. 74, no. 10, pp. 390-396, 2004. [CrossRef] [Google Scholar]
  16. M. O. Abdeen, “Energy, environment and sustainable development,” Renewable and Sustainable Energy Reviews, vol. 12, no. 9, pp. 2265-2300, 2008. [CrossRef] [Google Scholar]
  17. Y. Al Horr, M. Arif, A. Kaushik, A. Mazroei, M. Katafygiotou and E. Elsarrag, “Occupant productivity and office indoor environment quality: A review of the literature,” Building and Environment, vol. 105, pp. 369-389, 2016. [CrossRef] [Google Scholar]
  18. T. A. Moya, A. van den Dobbelsteen, M. Ottelé and P. M. Bluyssen, “A review of green systems within the indoor environment,” Indoor and Built Environment, vol. 28, no. 3, 2018. [Google Scholar]
  19. M. Esfandiari, S. M. Zaid and M. A. Ismail, “Investigating the indoor environment quality parameters and their relationship with occupants’ satisfaction in office buildings: A review,” Journal of Design and Built Environment, 2017. [Google Scholar]
  20. S. Nurick and A. Thatcher, “The relationship of green office buildings to occupant productivity and organizational performance: A literature review,” Journal of Real Estate Literature, vol. 29, no. 1, pp. 18-42, 2021. [CrossRef] [Google Scholar]
  21. I. Asadi, N. Mahyuddin and P. Shafigh, “A review on indoor environmental quality (IEQ) and energy consumption in building based on occupant behavior,” Facilities, vol. 35, no. 11/12, pp. 684-695, 2017. [CrossRef] [Google Scholar]
  22. E. O. Rasheed and H. Byrd, “Can self-evaluation measure the effect of IEQ on productivity? A review of literature,” Facilities, vol. 35, no. 11/12, pp. 601-621, 2017. [CrossRef] [Google Scholar]
  23. C. Wang, F. Zhang, J. Wang, J. K. Doyle, P. A. Hancock, C. M. Mak and S. Liu, “How indoor environmental quality affects occupants’ cognitive functions: A systematic review,” Building and Environment, vol. 193, p. 107647, 2021. [CrossRef] [Google Scholar]
  24. A. Aryal, B. Becerik-Gerber, F. Anselmo, S. C. Roll and G. M. Lucas, “Smart Desks to Promote Comfort, Health, and Productivity in Offices: A Vision for Future Workplaces,” Frontiers in Built Environment, vol. 5, no. 76, 2019. [CrossRef] [PubMed] [Google Scholar]
  25. A. L. Pisello and e. al., “Test rooms to study human comfort in buildings: A review of controlled experiments and facilities,” Renewable and Sustainable Energy Reviews, vol. 149, p. 111359, 2021. [CrossRef] [Google Scholar]
  26. R. J. Cureau and e. al., “Bridging the gap from test rooms to field-tests for human indoor comfort studies: A critical review of the sustainability potential of living laboratories,” Energy Research & Social Science, vol. 92, p. 102778, 2022. [CrossRef] [Google Scholar]
  27. W. Jingyi, W. Zhe, R. de Dear, L. Maohui, A. Ghahramani and L. Borong, “The uncertainty of subjective thermal comfort measurement,” Energy and Buildings, vol. 181, pp. 38-49, 2018. [CrossRef] [Google Scholar]
  28. S. A. Mansi, G. Barone, C. Forzano, I. Pigliautile, M. Ferrara, A. L. Pisello and M. Arnesano, “Measuring human physiological indices for thermal comfort assessment through wearable devices: A review,” Measurement, vol. 183, p. 109872, 2021. [Google Scholar]
  29. T. Nayak, T. Zhang, Z. Mao, X. Xu, D. J. Pack and B. Dong, “Prediction of temperature induced office worker's performance during typing task using EEG,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. [Google Scholar]
  30. “Towards a holistic approach for assessing the impact of IEQ on satisfaction, health, and productivity,” Building Research & Information, vol. 49, no. 4, pp. 417-444, 2021. [Google Scholar]
  31. P. Kenning and H. Plassmann, “NeuroEconomics: An overview from an economic perspective,” Brain Research Bullettin, vol. 67, no. 5, pp. 343-354, 2005. [CrossRef] [Google Scholar]
  32. G. E. Strangman, V. Ivkovic and Q. Zhang, “Wearable brain imaging with multimodal physiological monitoring,” Journal of Applied Physiology, vol. 124, no. 3, pp. 564-572, 2018. [CrossRef] [PubMed] [Google Scholar]
  33. G. Vecchiato, P. Cherubino, A. G. Maglione, M. T. H. Ezquierro, F. Marinozzi, F. Bini, ... and F. Babiloni, “How to measure cerebral correlates of emotions in marketing relevant tasks,” Cognitive Computation, vol. 6, no. 4, pp. 856-871, 2014. [CrossRef] [Google Scholar]
  34. P. Cherubino, A. C. Martinez-Levy, M. Caratu, G. Cartocci, G. Di Flumeri, E. Modica, ... and A. Trettel, “Consumer behaviour through the eyes of neurophysiological measures: State-of-the-art and future trends,” Computational intelligence and neuroscience, vol. 2019, p. 1976847, 2019. [CrossRef] [Google Scholar]
  35. G. Borghini, P. Aricò, G. Di Flumeri and F. Babiloni, Industrial Neuroscience in Aviation - Evaluation of Mental States in Aviation Personnel, Springer Link, 2017. [CrossRef] [Google Scholar]
  36. G. Borghini, L. Astolfi, G. Vecchiato, D. Mattia and F. Babiloni, “Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,” Neuroscience & Biobehavioral Reviews, vol. 44, pp. 58-75, 2014. [CrossRef] [Google Scholar]
  37. M. Pagnotta, D. M. Jacobs, P. L. de Frutos, R. Rodríguez, J. Ibáñez-Gijón and D. Travieso, “Task difficulty and physiological measures of mental workload in air traffic control: a scoping review,” Ergonomics, vol. 65, no. 8, pp. 1095-11118, 2022. [CrossRef] [PubMed] [Google Scholar]
  38. R. D. Banker and R. Natarajan, “Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis,” Operations Research, vol. 56, no. 1, pp. 48-58, 2008. [CrossRef] [Google Scholar]
  39. A. Vozzi, V. Ronca, P. Arciò, G. Borghini, N. Sciaraffa, P. Cherubino, A. Trettel, F. Babiloni and G. De Flumeri, “The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field,” Sensors, vol. 21, no. 18, p. 6088, 2021. [CrossRef] [PubMed] [Google Scholar]
  40. R. Ohme, D. Reykowska, D. Wiener and A. Choromanska, “Application of frontal EEG asymmetry to advertising research,” Journal of Economic Psychology, vol. 31, no. 5, pp. 785-793, 2010. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.