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Altuwaim, A and El-Rayes, K (2018) Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost. Journal of Construction Engineering and Management, 144(07).
Hasanzadeh, S, Esmaeili, B and Dodd, M D (2018) Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking. Journal of Construction Engineering and Management, 144(07).
Hosseini, M R, Martek, I, Chileshe, N, Zavadskas, E K and Arashpour, M (2018) Assessing the Influence of Virtuality on the Effectiveness of Engineering Project Networks: “Big Five Theory” Perspective. Journal of Construction Engineering and Management, 144(07).
Hwang, S, Jebelli, H, Choi, B, Choi, M and Lee, S (2018) Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management, 144(07).
- Type: Journal Article
- Keywords: Brain waves; Electroencephalogram; Emotions; Wearable devices; Neurophysiology; Arousal; Valence;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001506
- Abstract:
Construction workers’ emotional states (e.g., pleasure, displeasure, excitement, and relaxation) are known as a critical factor that affect their performance (e.g., safety, health, and productivity). To prevent adverse impacts on work performance, measuring emotional states should take precedence to better understand how workers’ emotions vary while they are working. Among many methods available to measure emotional states, electroencephalogram (EEG) has a great potential for quantitative measurement by overcoming a possible bias from the survey-based subjective assessment of emotions. Although EEG-based emotion measurement has been tested and applied only in a laboratory environment, recent advancements in wearable EEG sensors, which are portable, wireless, and affordable, open a new door toward nonintrusive field emotion measurement. This study thus investigates the feasibility of measuring workers’ emotions in the field using a wearable EEG sensor. To do this, a bipolar dimensional emotion model, which consists of valence (from displeasure to pleasure) and arousal (from relaxation to excitement) dimensions, was applied to quantify workers’ emotional states. Then, workers’ valence and arousal levels were measured using a wearable EEG sensor during their ongoing tasks. The validity of the EEG-based emotion measurement was examined through a comparison with cortisol levels obtained from workers’ saliva samples, which has been accepted as a reliable physical measure of emotions. The results demonstrate the applicability of a wearable EEG sensor for measuring workers’ emotions, particularly valence levels, which remain crucial to understanding workers’ emotional states. This study contributes to the body of knowledge on in-depth studies for understanding workers’ emotions in the field by providing a means to continuously and nonintrusively measure workers’ emotions while they are working.
Jordan Srour, F, Kiomjian, D and Srour, I M (2018) Automating the Use of Learning Curve Models in Construction Task Duration Estimates. Journal of Construction Engineering and Management, 144(07).
Karakhan, A A, Rajendran, S, Gambatese, J and Nnaji, C (2018) Measuring and Evaluating Safety Maturity of Construction Contractors: Multicriteria Decision-Making Approach. Journal of Construction Engineering and Management, 144(07).
Karimi, H, Taylor, T R B, Dadi, G B, Goodrum, P M and Srinivasan, C (2018) Impact of Skilled Labor Availability on Construction Project Cost Performance. Journal of Construction Engineering and Management, 144(07).
Konstantinou, E and Brilakis, I (2018) Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site. Journal of Construction Engineering and Management, 144(07).
Lee, C Y, Chong, H and Wang, X (2018) Enhancing BIM Performance in EPC Projects through Integrative Trust-Based Functional Contracting Model. Journal of Construction Engineering and Management, 144(07).
Liu, J and Lu, M (2018) Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints. Journal of Construction Engineering and Management, 144(07).
Masih-Tehrani, M and Ebrahimi-Nejad, S (2018) Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission. Journal of Construction Engineering and Management, 144(07).
Mirzaei, A, Nasirzadeh, F, Parchami Jalal, M and Zamani, Y (2018) 4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects. Journal of Construction Engineering and Management, 144(07).
Sankaran, B and O’Brien, W J (2018) Impact of CIM Technologies and Agency Policies on Performance for Highway Infrastructure Projects. Journal of Construction Engineering and Management, 144(07).
Swei, O (2018) Long-Run Construction Cost Trends: Baumol’s Cost Disease and a Disaggregate Look at Building Material Price Dynamics. Journal of Construction Engineering and Management, 144(07).
Trinh, M T, Feng, Y and Jin, X (2018) Conceptual Model for Developing Resilient Safety Culture in the Construction Environment. Journal of Construction Engineering and Management, 144(07).