Assessing trust in construction AI-powered collaborative robots using structural equation modeling
Authors: N Emaminejad, L Kath, R Akhavian
Published: 2024
Publication: Journal of Computing in Civil ..., 2024 - ascelibrary.org
Trust in AI-powered collaborative robots (cobots) in construction is mainly influenced by safety, reliability, and transparency, while fear of job replacement can negatively impact mental health and adoption. Structural equation modeling highlights factors like error rates, data security, and communication as critical to fostering trust among AEC professionals.
Methods: Nationwide survey of AEC professionals analyzed using structural equation modeling (SEM) to assess trust determinants for AI-powered cobots.
Key Findings: Technical and psychological factors influencing trust in AI-powered cobots, including safety, reliability, error rate, data security, and communication transparency.
Limitations: Specific contextual factors such as regional variations, construction site-specific dynamics, and generalizability of survey responses were not explicitly discussed.
Institution: San Diego State University
Research Area: Civil Engineering, Artificial Intelligence, Human-Robot Interaction
Discipline: Engineering
Sample Size: 600 participants
Citations: 22