Critical Factors Affecting Intention of Use of Augmented Hearing Protection Technology in Construction

Details

• Personal Author:
  Huang Y ; Le T ; Trinh MT
• Description:
  Despite the risk of occupational hearing loss, many noise-exposed construction workers are unwilling to wear hearing protection devices (HPDs) due to their concern about the degraded audibility of environmental sounds. Augmented hearing protection technology that uses advanced artificial intelligence-based signal processing to amplify safety-critical sounds offers great potential to address the issue. To facilitate the acceptance of this new technology, it is critical to understand the user's intention of use of augmented HPDs. The current state-of-the-art, however, offers little understanding about the user's intention of use of such new technology. This paper fills the gap by exploring factors that determine the user's intention of use of augmented HPDs in the construction environment. Data were collected using questionnaires from 298 practitioners in the US, China, and Japan. The structural equation modeling (SEM) method was adopted for analyzing the collected data. The results denote that the intention of use of augmented hearing protection technology is determined by the user's perceived usefulness of which the perceived ease of use, hearing health, and safety consciousness, trust on autonomy are among the most critical factors. The findings of this study enrich understandings of the theories of technology adoption in construction. It presents a further step towards critical design and implementation considerations for the success of augmented hearing protection technology in the future. [Description provided by NIOSH]
• Subjects:
  Construction Industry Hearing Hearing Loss Noise Noise, Occupational Occupational Health Safety Safety Management
• Keywords:
  Artificial Intelligence Author Keywords: Artificial Intelligence Construction Safety Monitoring Construction Workers Emerging Technology Hearing Loss Prevention Hearing Protection Noise Exposure Safety Monitoring SEM Structural Equation Modeling Technology Acceptance Model

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• ISSN:
  0733-9364
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Maryland ; OSHA Region 3 ; OSHA Region 4 ; South Carolina
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  147
• Issue:
  8
• NIOSHTIC Number:
  nn:20068081
• Citation:
  J Constr Eng Manage 2021 Aug; 147(8):0002116
• Contact Point Address:
  Tuyen Le, Glenn Dept. of Civil Engineering, Clemson Univ., 316 Lowry Hall, Clemson, SC, United States
• Email:
  tuyenl@clemson.edu
• Federal Fiscal Year:
  2021
• Performing Organization:
  CPWR - The Center for Construction Research and Training, Silver Spring, Maryland
• Peer Reviewed:
  True
• Start Date:
  20090901
• Source Full Name:
  Journal of Construction Engineering and Management
• End Date:
  20240831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:016c5918afa1ea37415c05029b66a2f22d3b401941c67ab56b27ab95d514387400713ee84a57255cfdcf7cd6fc939faef0868a3a33a1e46e45a07697ae14e470
• Download URL:
  https://stacks.cdc.gov/view/cdc/230300/cdc_230300_DS1.pdf
• File Type:
  [PDF - 1.24 MB ]