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Abdelhamid, T S (1999) Measuring and evaluating physiological demands of construction work, Unpublished PhD Thesis, , University of Michigan.

Al-Hussayen, M A (1980) Building problems in Saudi Arabia: The need for building research, and the development of building research approaches, Unpublished PhD Thesis, , University of Michigan.

Awwad, R E (2010) Neutral and risk-sensitive models for competitive bidding methods based on average and order statistics, Unpublished PhD Thesis, , University of Michigan.

Behzadan, A H (2008) Arviscope: Georeferenced visualization of dynamic construction processes in three-dimensional outdoor augmented reality, Unpublished PhD Thesis, , University of Michigan.

Chen, T Y-J (2019) Advancing quantitative risk analysis for critical water infrastructure, Unpublished PhD Thesis, , University of Michigan.

Choi, B (2018) The role of socio-cognitive process in construction workers' safety behaviors, Unpublished PhD Thesis, , University of Michigan.

Chung, K H Y (2022) Data fusion, hedonic pricing, and blockchains: Lowering investment barriers for sustainable infrastructure, Unpublished PhD Thesis, , University of Michigan.

Colberg, M R (1950) Federal control of construction following World War II, Unpublished PhD Thesis, , University of Michigan.

Dias, A, Jr. (1994) A managerial and financial study on the involvement of private sector companies in the development, construction, operation, and ownership of infrastructure projects, Unpublished PhD Thesis, , University of Michigan.

Dzeng, R-J (1995) CasePlan: a case-based planner and scheduler for construction using product modeling, Unpublished PhD Thesis, Department of Civil and Environmental Engineering, University of Michigan.

Han, S-H (2004) A working prototype of distributed collaborative architectural design system, Unpublished PhD Thesis, , University of Michigan.

Hasell, M J (1983) Gaming simulation: A communication tool for architects and designers, Unpublished PhD Thesis, , University of Michigan.

Henn, R L (2013) Moving targets: Managing interinstitutional relationships in green building design and construction, Unpublished PhD Thesis, , University of Michigan.

Howe, A S (1998) A new paradigm for life-cycle management of kit-of-parts building systems, Unpublished PhD Thesis, , University of Michigan.

Ismail, I A (2014) Financial cash flow determinants of company failure in the construction industry, Unpublished PhD Thesis, , University of Michigan.

Jebelli, H (2019) Wearable biosensors to understand construction workers' mental and physical stress, Unpublished PhD Thesis, , University of Michigan.

  • Type: Thesis
  • Keywords: accuracy; measurement; occupations; construction safety; construction site; noise; learning; monitoring; occupational stress; productivity; safety; construction worker; interview
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2307019694
  • Abstract:
    Occupational stress is defined as harmful physical and mental responses when job requirements are greater than a worker's capacity. Construction is one of the most stressful occupations because it involves physiologically and psychologically demanding tasks performed in a hazardous environment this stress can jeopardize construction safety, health, and productivity. Various instruments, such as surveys and interviews, have been used for measuring workers' perceived mental and physical stress. However valuable, such instruments are limited by their invasiveness, which prevents them from being used for continuous stress monitoring. The recent advancement of wearable biosensors has opened a new door toward the non-invasive collection of a field worker's physiological signals that can be used to assess their mental and physical status. Despite these advancements, challenges remain: acquiring physiological signals from wearable biosensors can be easily contaminated from diverse sources of signal noise. Further, the potential of these devices to assess field workers' mental and physical status has not been examined in the naturalistic work environment. To address these issues, this research aims to propose and validate a comprehensive and efficient stress-measurement framework that recognizes workers mental and physical stress in a naturalistic environment. The focus of this research is on two wearable biosensors. First, a wearable EEG headset, which is a direct measurement of brain waves with the minimal time lag, but it is highly vulnerable to various artifacts. Second, a very convenient wristband-type biosensor, which may be used as a means for assessing both mental and physical stress, but there is a time lag between when subjects are exposed to stressors and when their physiological signals change. To achieve this goal, five interrelated and interdisciplinary studies were performed to; 1) acquire high-quality EEG signals from the job site; 2) assess construction workers' emotion by measuring the valence and arousal level by analyzing the patterns of construction workers' brainwaves; 3) recognize mental stress in the field based on brain activities by applying supervised-learning algorithms;4) recognize real-time mental stress by applying Online Multi-Task Learning (OMTL) algorithms; and 5) assess workers' mental and physical stress using signals collected from a wristband biosensor. To examine the performance of the proposed framework, we collected physiological signals from 21 workers at five job sites. Results yielded a high of 80. 13% mental stress-recognition accuracy using an EEG headset and 90. 00% physical stress-recognition accuracy using a wristband sensor. These results are promising given that stress recognition with wired physiological devices within a controlled lab setting in the clinical domain has, at best, a similar level of accuracy. The proposed wearable biosensor-based, stress-recognition framework is expected to help us better understand workplace stressors and improve worker safety, health, and productivity through early detection and mitigation of stress at human-centered, smart and connected construction sites.

Kabo, F W (2006) Low-cost housing design and provision: A case study of Kenya, Unpublished PhD Thesis, , University of Michigan.

Kalampakorn, S (2000) Stages of construction workers' use of hearing protection, Unpublished PhD Thesis, , University of Michigan.

Khoury, H M (2009) Context-aware information access and retrieval for rapid on-site decision making in construction, inspection and maintenance of constructed facilities, Unpublished PhD Thesis, , University of Michigan.

Kirk, S J (1992) Improved design decision-making using small group value engineering gaming/simulation, Unpublished PhD Thesis, , University of Michigan.

Lee, H-S (1992) Automated interactive cost estimating system for reinforced concrete building structures, Unpublished PhD Thesis, , University of Michigan.

Leu, S-S (1992) Object-oriented representation model of construction technology information, Unpublished PhD Thesis, , University of Michigan.

Liang, C-J (2021) Affecting fundamental transformation in future construction work through replication of the master-apprentice learning model in human-robot worker teams, Unpublished PhD Thesis, , University of Michigan.

Liu, M (2019) Video-based human motion capture and force estimation for comprehensive on-site ergonomic risk assessment, Unpublished PhD Thesis, , University of Michigan.

Lundeen, K M (2019) Autonomous scene understanding, motion planning, and task execution for geometrically adaptive robotized construction work, Unpublished PhD Thesis, , University of Michigan.

Martin, S D (1981) Building contracts in classical Roman law, Unpublished PhD Thesis, , University of Michigan.

Mason, B (2023) Advancing autonomous green stormwater infrastructure, Unpublished PhD Thesis, , University of Michigan.

McIntosh, J F (1984) The application of the relational data model to computer-aided building design, Unpublished PhD Thesis, , University of Michigan.

Odeh, A M (1992) CIPROS: Knowledge-based construction integrated project and process planning simulation system, Unpublished PhD Thesis, , University of Michigan.

Paunikar, A (1983) Performance constraints of housing prefabricators in India: 3 case studies, Unpublished PhD Thesis, , University of Michigan.

Rohlman, R E (1978) Construction management: A comparison of management services, time, cost and supervision performance factors on public school projects in Michigan, Unpublished PhD Thesis, , University of Michigan.

Sherif, A H (1988) The choice of construction technology in developing countries: A socially conscious economic assessment approach, Unpublished PhD Thesis, , University of Michigan.

Srisuwanrat, C (2009) The sequence step algorithm: A simulation-based scheduling algorithm for repetitive projects with probabilistic activity durations, Unpublished PhD Thesis, , University of Michigan.

Stino, R M (1999) Effect of spatial variables on bricklaying productivity and ergonomics, Unpublished PhD Thesis, , University of Michigan.

Sugrue, D P (2021) Alternative financing for harbor infrastructure using big data analytics in the great lakes waterway, Unpublished PhD Thesis, , University of Michigan.

Taemthong, W (2002) Accounting for the impact of learning and scheduled overtime: Developing dynamic models to estimate and control labor time and labor cost, Unpublished PhD Thesis, , University of Michigan.

Tharachai, T (2004) Multiple project resource scheduling for construction, Unpublished PhD Thesis, , University of Michigan.

Thomas, A (2017) Modeling occupant behavior, systems life cycle performance, and energy consumption nexus in buildings using multi-method distributed simulation, Unpublished PhD Thesis, , University of Michigan.

Xiao, Y (2017) Three-dimensional reconstruction and modeling using low-precision vision sensors for automation and robotics applications in construction, Unpublished PhD Thesis, , University of Michigan.

Zouein, P P (1995) MoveSchedule: a planning tool for scheduling space use on construction sites, Unpublished PhD Thesis, Department of Civil and Environmental Engineering, University of Michigan.