Spiral Dynamics Optimization-based Algorithm for Human Health Improvement

A study using the spiral dynamics optimization algorithm to evaluate the human health effects of using computer-aided workstations on employees. We collected data for human health risk on employees at their workplaces, analyzed the data and proposed corrective measures applying our methodology. It includes a checklist with nine human health dimensions: work organization, displays, input devices, furniture, work space, environment, software, health hazards and satisfaction. By the checklist, data on human health risk are collected. For the calculation of a human health HS risk index a neural-swarm spiral dynamics search (NSSS) optimization-based algorithm has been employed. Based on the human health risk index, IHS four groups of human health risk severity are determined: low, moderate, high and extreme HS risk. By this index HS problems are allocated and corrective measures can be applied. This approach is illustrated and validated by a case study. An important advantage of the approach is its easy use and HS index methodology speedily pointing out individual employee specific HS risk.