Cognitive Impact of Wearing an Exoskeleton on Hazard Identification Performance of Construction Workers
Publication: Computing in Civil Engineering 2023
ABSTRACT
Exoskeleton has been introduced as one of the effective ergonomic intervention strategies in the construction industry for reducing the physical burden of workers often exposed to heavy lifting and repetitive work. While extensive research has investigated the potential of the exoskeleton in site for reducing muscle fatigue, little is known regarding its effect on cognitive performance such as attention. Considering that attention plays a critical role in recognizing hazards in construction sites and incident involvement, this study aims to address this knowledge gap by determining the impact of wearing an exoskeleton on the hazard identification performance of construction workers. To achieve this objective, the research team has designed an experiment in which participants identify construction hazards before and after conducting repetitive manual material handling with and without an exoskeleton. In addition, functional near-infrared spectroscopy (fNIRS) was used to measure participants’ visual and cognitive processes during the experiment. The data was collected from 12 participants and analyzed through a permutation analysis to determine the differences between hazard identification performance with and without the exoskeleton. The result indicates that exoskeletons tend to positively affect the attentional distribution of workers with lower accuracy for the number of hazards identified. The findings demonstrate the influence of wearing an exoskeleton on the cognitive performance of workers and highlight the need for further research to reduce this effect.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Antwi-Afari, M. F., Li, H., Anwer, S., Li, D., Yu, Y., Mi, H. Y., and Wuni, I. Y. (2021). “Assessment of a passive exoskeleton system on spinal biomechanics and subjective responses during manual repetitive handling tasks among construction workers.” Safety Science, 142, 105382.
Borg, G. A. (1982). “Psychophysical bases of perceived exertion.” Medicine & Science in Sports & Exercise.
Carter, G., and Smith, S. D. (2006). “Safety hazard identification on construction projects” Journal of Construction Engineering and Management, 132(2), 197–205.
CPWR (Center for Protection of Workers’ Rights). (2018). The Construction Chart Book: The U.S. Construction Industry and Its Workers, CPWR – The Center for Construction Research and Training, Maryland.
Hart, S. G., and Staveland, L. E. (1988). “Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research” In Advances in Psychology (Vol. 52, pp. 139–183).
Hasanzadeh, S., Esmaeili, B., and Dodd, M. D. (2017). Measuring the impacts of safety knowledge on construction workers’ attentional allocation and hazard detection using remote eye-tracking technology. Journal of Management in Engineering, 33(5), 04017024.
Howard, J., Murashov, V. V., Lowe, B. D., and Lu, M. L. (2020). Industrial exoskeletons: Need for intervention effectiveness research. American Journal of industrial medicine, 63(3), 201–208.
Hu, M., and Shealy, T. (2019). “Application of functional near-infrared spectroscopy to measure engineering decision-making and design cognition: literature review and synthesis of methods.” Journal of Computing in Civil Engineering, 33(6), 04019034.
Huppert, T. J., Diamond, S. G., Franceschini, M. A., and Boas, D. A. (2009). “HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.” Applied Optics, 48(10), D280–D298.
La Bara, L. M. A., Meloni, L., Giusino, D., and Pietrantoni, L. (2021). “Assessment methods of usability and cognitive workload of rehabilitative exoskeletons: a systematic review”. Applied Sciences, 11(15), 7146.
Mehta, R. K. (2016). “Integrating physical and cognitive ergonomics”. IIE Transactions on Occupational Ergonomics and Human Factors, 4(2-3), 83–87.
Stirling, L., Siu, H. C., Jones, E., and Duda, K. (2018). Human factors considerations for enabling functional use of exosystems in operational environments. IEEE Systems J., 13(1), 1072–1083.
van der Molen, H. F., Sluiter, J. K., Hulshof, C. T., Vink, P., van Duivenbooden, C., Holman, R., and Frings-Dresen, M. H. (2005). “Implementation of participatory ergonomics intervention in construction companies.” Scandinavian Journal of Work, Environment & Health, 191–204.
Xing, X., Zhong, B., Luo, H., Rose, T., Li, J., and Antwi-Afari, M. F. (2020). “Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach. “Automation in Construction, 120, 103381.
Yang, Y., and Raine, A. (2009). “Prefrontal structural and functional brain imaging findings in antisocial, violent, and psychopathic individuals: a meta-analysis.” Psychiatry Research: Neuroimaging, 174(2), 81–88.
Zhang, Q., Zhang, D., and Liao, P. C. (2022). “Leading indicators of mental representation in construction hazard recognition.” International Journal of Occupational Safety and Ergonomics, 28(4), 2066–2079.
Zhu, Y., Weston, E. B., Mehta, R. K., and Marras, W. S. (2021). “Neural and biomechanical tradeoffs associated with human-exoskeleton interactions.” Applied Ergonomics, 96, 103494.
Information & Authors
Information
Published In
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Business management
- Construction engineering
- Construction management
- Construction materials
- Construction sites
- Disaster risk management
- Disasters and hazards
- Employment
- Engineering materials (by type)
- Geotechnical engineering
- Geotechnical investigation
- Hazardous substances
- Labor
- Man-made disasters
- Materials engineering
- Occupational safety
- Personnel management
- Practice and Profession
- Public administration
- Public health and safety
- Risk management
- Safety
- Site investigation
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.