AIMC Topic: Workplace
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Monitoring and Identification of Road Construction Safety Factors via UAV.
Sensors (Basel, Switzerland)
Nov 14, 2022
The safety of road construction is one of the most important concerns of construction managers for the following reasons: long-span construction operation, no fixed monitoring cameras, and huge impacts on existing traffic, while the managers still re...
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
The Journal of applied psychology
Oct 10, 2022
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...
Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning.
Journal of safety research
Oct 1, 2022
INTRODUCTION: The construction field is considered one of the most dangerous industries. Accidents and fatalities take place on a daily basis in construction projects. Globally, different levels of government have implemented strict rules and regulat...
Algorithms and the future of work.
American journal of industrial medicine
Sep 20, 2022
An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical operation. In 1955, the term artificial intelligence (AI) was coined to indicate that a machine could be programmed to duplicate human intelligence. ...
Development and application of a fuzzy occupational health risk assessment model in the healthcare industry.
La Medicina del lavoro
Aug 25, 2022
BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of h...
How robots impact nurses' time pressure and turnover intention: A two-wave study.
Journal of nursing management
Aug 10, 2022
AIMS: To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention, and how robot performance moderates such relations.
Insights into the relationship between usability and willingness to use a robot in the future workplaces: Studying the mediating role of trust and the moderating roles of age and STARA.
PloS one
Jun 3, 2022
BACKGROUND AND AIM: Human-robot collaboration is the key component of the fourth industrial revolution concept. Workers' willingness to collaborate with industrial robots is a basic requirement for an efficient and effective interaction. The roles of...
Happy work: Improving enterprise human resource management by predicting workers' stress using deep learning.
PloS one
Apr 13, 2022
Recently, workers in most enterprises suffer from excessive occupational stress in the workplace, which negatively affects workers' productivity, safety, and health. To deal with stress in workers, it is vital for the human resource management (HRM) ...
Predicting financial losses due to apartment construction accidents utilizing deep learning techniques.
Scientific reports
Mar 30, 2022
This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartment construction sites. Recently, the construction of apartment buildings is rapidly increasing to s...
Human Robot Collaboration for Enhancing Work Activities.
Human factors
Mar 28, 2022
OBJECTIVE: Trade-offs between productivity, physical workload (PWL), and mental workload (MWL) were studied when integrating collaborative robots (cobots) into existing manual work by optimizing the allocation of tasks.
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