Physiological computing for occupational health and safety in construction: Review,challenges and implications for future research

Recent advances in physiological computing have been made due to Artificial Intelligence and Machine Learning, which have profoundly begun to influence occupational health and safety (OHS) in construction. Acknowledging the current and future use of physiological computing, we address the following research question in this paper: What developments in physiological computing can be used to improve OHS in construction? Using a narrative systematic review, we examine studies that have used physiological computing in construction to monitor people OHS. Our review indicates that there is a need for physiological computing systems to be: (1) more accurate; (2) portable and easier to use; (3) generalizable across varying work tasks; and (4) accepted by users and their benefits realized. Considering our observations derived from the prevailing literature and practice, we suggest that future research should aim to mitigate OHS risks by focusing on: (1) development of high-quality database; (2) feature engineering extraction by using an array of machine learning techniques; (3) understanding the context and enacting intervention strategies. The upshot of performing such a review is to provide a signpost for future research in physiological computing of OHS in construction.     

Usability of state public health department websites for communication during a pandemic: A heuristic evaluation

Study aims were to investigate how usable COVID-19 dedicated state public health websites in the US were, and whether case counts in different geographical regions in the US were related to website usability. 16 state websites representing the 2 highest and the 2 lowest case count states in each region were selected. Five experts used a heuristic evaluation procedure to independently rate all 16 websites on a severity scale of 0–4. Usability criteria published by the US Department of Health and Human Services and criteria on risk communication and data dashboards were used. Analyses involved cross tabulation of usability criteria with case counts, comparison of usability scores using Mood's median tests, test of differences in average usability scores using ANOVA and post-hoc tests, and identification of correlations between case counts and usability scores. Results from the Mood's median test showed that the median usability scores for the states were significantly different from each other at the 5% level of significance (df = 15, chi-square = 38.40; p = 0.001). ANOVA showed statistically significant differences between the mean usability scores for the states at the 5% level of significance (F = 6.33, p < 0.05). Although not statistically significant, results from a correlation analysis between case count and usability scores showed a negative correlation (r = -0.209, p = 0.437) indicating that the higher the case count, the better the usability score. Overall, the websites fared well on usability, but many websites were used as an information and data repository. These websites must communicate infection risk better.Relevance to industryThe study applies to public health agency websites that communicate essential information during a pandemic.     

A performance evaluation framework of public health distribution network for essential medicines: lessons from the select Indian states

The present work has been carried out to develop a performance evaluation framework of distribution network design in public health with specific reference to essential medicines based on six different types of public health distribution networks (PHDNs) prevalent across six Indian states. We evaluated the performance of PHDNs on the criteria of cost and service and also on the sub-criteria of cost and service by following the analytic hierarchy process. We utilized the pairwise comparison method in determining the relative importance of criteria and sub-criteria by seeking responses from several experts and subsequently evaluated the PHDNs on all sub-criteria in a 7-point Likert scale by seeking views from the same experts. Finally, we developed the “cost–service matrix,” in which cost and service have been depicted in the horizontal and vertical axes, respectively. We demonstrated the performance of six PHDNs in this matrix in terms of cost and service by plotting scores obtained by them on cost and service, respectively. The findings of the study provide rich insights to the policy planners of public health.     

Personal predictors of the longest episode of occupational sitting and their interaction with workplace support for health among workers in Accra: A cross-sectional analysis with sensitivity analyses

Many studies have identified personal factors associated with occupational sitting time, but none of them focused on the longest episode of occupational sitting (hereby referred to as continuous occupational sitting time) nor considered whether workplace support for health moderates the associations between these factors and continuous occupational sitting time. This study aimed to identify personal factors predicting continuous occupational sitting time and ascertained whether workplace support for health moderates the associations between these factors and continuous occupational sitting time. A cross-sectional design and an adapted hierarchical linear regression analysis was employed. The participants were 991 employees of public and private organizations in Accra, Ghana. Results were presented with hierarchical linear regression analysis. The ultimate predictors of continuous occupational sitting time at a minimum of p < 0.05 include age, job type, and job income. Workplace support for health significantly moderated the primary associations, which means that workplace support for health altered the strength of the associations between all predictors (except tenure) and continuous occupational sitting time. This study concludes that there are inequalities in continuous occupational sitting time between employee groups that can be modified by workplace support for health.     

CCPE: Methodology for a Combined Evaluation of Cognitive and Physical Ergonomics in the Interaction between Human and Machine

Evaluation methods of today often focus on cognitive ergonomics (such as mental workload or usability) or physical ergonomics (such as physical workload or body posture). This article describes an analytical methodology of a joint systematic search for potential deficiencies in the human–machine interaction; such as high physical and mental workload, use errors, usability problems, and physical ergonomic errors. The purpose with the joint search is to achieve a more holistic evaluation approach and make the evaluation cost more effective than when using separate evaluation methods for cognitive and physical ergonomic aspects. The methodology is task‐based, which makes it possible to use both with focus on the device design, as in development projects; as well as with focus on the procedure, in the operative organization. © 2012 Wiley Periodicals, Inc.     

When adults without university education search the Internet for health information: The roles of Internet-specific epistemic beliefs and a source evaluation intervention

In the present research, N = 48 adults without university education were tasked to conduct two web searches on unfamiliar health-related issues. Three research objectives were examined: the predictive value of individuals’ Internet-specific epistemic beliefs for their navigation behavior and post-search decisions in Web Search Task 1; the effects of a short source evaluation intervention on individuals’ navigation behavior and post-search decisions in Web Search Task 2; and the effects of the source evaluation intervention on individuals’ Internet-specific epistemic beliefs. Results showed that beliefs concerning the justification by multiple sources were positively related to the time spent on reliable objective web pages and to the likelihood to make a post-search decision that was in accordance with the objective pages. Beliefs that the Internet is a reliable knowledge resource were also positively related to the time spent on objective pages as well as to greater certainty in the post-search decision. Second, in Web Search Task 2, the intervention group spent more time on objective web pages, was more likely to make a decision that was in accordance with these pages, and was more certain of their decision than the control group. Third, one week after the intervention, individuals possessed stronger beliefs concerning the justification by multiple sources than before. In conclusion, the present research indicates that both adaptive Internet-specific beliefs and a short source evaluation intervention have positive effects on non-university educated adults’ online health information seeking and that their Internet-specific epistemic beliefs can be fostered through such an intervention.