Expert evaluation of traffic signs: conventional vs. alternative designs

Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision

INTRODUCTION: At present, the common telemedicine service quality evaluation methods can not obtain the key evaluation indicators, which leads to the low accuracy and low user satisfaction. OBJECTIVES: This paper constructs a telemedicine service quality evaluation model based on machine vision technology. METHODS: Machine vision technology is used to obtain telemedicine service information, preliminarily select service quality assessment indicators, complete the selection of indicators, build a telemedicine service quality assessment indicator system, adopt subjective and objective combination method to calculate the weight of service quality assessment indicators, and combine matter element analysis method to build a telemedicine service quality assessment model. RESULTS: The experimental results show that the Cronhach a is higher than 0.7, the Barthel index is higher than 90, and the satisfaction of many users is more than 90%. CONCLUSION: The proposed method solves the problems existing in the current method and lays a foundation for the development of telemedicine service technology.

Research Outputs in Ergonomics and Human Factors Engineering: A bibliometric and co-word analysis of content and contributions

This paper analyzes research outputs in Ergonomics and Human Factors Engineering (EHFE), revealing its intellectual structure via bibliometric techniques, co-word, network analysis, and science visualization tools. Population comprises of 23,472 records published during 2000-2018, in 19 core journals of Human Factors and Ergonomics subject category in Scopus. The findings showed that in EHFE fields "the United States", "University of Central Florida" and "Stanton NA" were the most productive country, university and author, respectively. It was also found that "Ergonomics" was the most frequent keyword and "Ergonomics and Human Factor" were the most frequent co-occurred keywords in EHFE documents. Hierarchical cluster analysis led to the creation of eight topical clusters, including among others "Biomechanics ergonomics", "Work-related MSDs & work system design", and "Performance". The results indicated that "Biomechanics ergonomics" was a well-matured cluster while "Human machine interaction", "Ergonomics design", "Macro-ergonomics", and "Cognitive ergonomics" were found to be emerging or declining clusters.