This study is a cross-national study and aimed to investigate how perception of PM2.5 air pollution influences public’s avoidant and protective behaviors, whether there are correlations between the public’s PM2.5 negative emotions, risk perception and coping behaviors, and whether there are significant differences between China and Korea. To better understand the mechanisms of coping behaviors related to the risk of PM2.5 exposure, the study divided coping behaviors into avoidant behaviors, which reduce exposure to PM2.5, and protective behaviors, which reduce the health hazards of PM2.5, for more specific analysis. Three hypotheses were proposed. The results of a comparative analysis showed differences in the mechanisms mediating the relationship between PM2.5 risk perceptions and coping behaviors, between the Chinese and Korean participants. The positive correlation between risk perception and coping behaviors was partially supported, and the ‘negative emotions-risk perception-risk coping behavior’ explanatory pathway was partially supported as well. The results of this study provide valuable insight into the psychology of the public affected by PM2.5 and aid in better communicating the risks of and effective response to the impact of PM2.5 pollution.

Medication administration errors account for a relatively high proportion of medical errors, with more than 50% occurring at the nursing administration stage. Nursing is characterized by a large amount of work, rigid working hours, high information cognitive intensity, and frequent information updates. The high workload of nurses is a significant cause of medication administration errors. In this study, a literature analysis was used to determine the elements of the system dynamics model, and the causal loop diagram was used to draw the relationship framework among the elements. Vensim personal learning edition and interview surveys were then used for model validation and simulation. First, 302 case analyses of medication administration errors collected from the three metropolitan area hospitals were used to construct the causal loop diagram, the stock and flow map of the medication administration error system, and the dynamics model; second, the model was tested from theoretical and historical data simulation perspectives; finally, the system dynamics model proposed in this study was used to simulate a medical institution from overtime and policy perspectives. Through system dynamics modeling, the inducing mechanism of workload on medication administration errors in nursing operations was elucidated, and corresponding suggestions for prevention were provided. In addition, ideas and basis for optimizing the medication administration process, improving workload, and preventing medication administration errors considering workload were provided.

Recently, increasing numbers of people have realized the harm that particulate matter (PM) causes to health, especially those with a diameter less than 2.5 μm (PM2.5). With the increasing popularity of wearable devices in recent years, it is believed that wearable technology can contribute feasible solutions to prevent health hazards caused by PM2.5. In order to better understand the public’s needs regarding wearable devices, this study aimed to determine what kinds of PM2.5 wearable devices were needed by the public and the factors that may influence these needs. An online survey was conducted in the Beijing metropolitan area of China of a total of 894 subjects. The results showed that the public’s overall need for wearable PM2.5 purifiers was higher than for wearable PM2.5 trackers. The public’s needs for wearable breathing-zone PM2.5 devices were significantly higher than for any other type, indicating that people care about the quality of the air they actually breathe. It was also found that education, income level, and attitude toward PM2.5 positively affected their needs for wearable devices. In contrast, age had a negative influence on their needs. The results of this study are expected to serve as a valuable reference for related academic and industrial research.

The purpose of this paper is to study the influence of multidimensional psychological characteristics on users’ feedback intention by using several statistical analysis methods based on information theory. The feedback process can be described as a communication process based on information theory. The feedback information entropy is associated with the degree of uncertainty elimination of the users who provide feedback information. Many factors are related to this uncertainty, such as information senders often stopped feedback process for some reasons and information senders may have provided fake or spam information. In order to encourage more useful feedback information, a model of a user’s willingness to provide feedback was established with personality traits and cognitive styles as independent variables, feedback motivation as intermediary variables, and feedback willingness as the dependent variable. 206 online and offline questionnaires were obtained to be analyzed by correlation analysis, regression analysis, and structural equation analysis. Cronbach’s coefficient was used to test the reliability of the questionnaire, and exploratory factor analysis method was used to verify the validity of the questionnaire. First, correlation analysis was used to explore the correlation between personality traits, cognitive styles, and motivation factors. Second, we further explored the strength of the relationship of the five correlated groups of variables through linear regression analysis. At last, we conducted structure equation analyses to test the hypotheses. The results show that both personality traits and cognitive styles can have a significant impact on feedback motivation factors and also show that self-efficacy may be the only evident feedback motivation to encourage useful feedback information. The results show that the willing users with extraversion trait are more likely be motivated by self-efficacy and thus have evident feedback willingness.

Objective: This study investigated public behavior regarding the acquisition of particulate matter (PM) information and how it is influenced by the perceived severity of the impact of PM on health in Korea and China. Background: Awareness of the harm caused by PM to health and the economy has recently increased. As PM pollution increases, people may seek related information through various channels to avoid the negative impact of PM. Method: An online survey was conducted in Korea and China. Results: The more severe the perceived impact of PM on health, the more frequently both Korean and Chinese persons sought PM information. For both groups, there were significant correlations between the perceived severity of health impact and diversity of means of information acquisition. Conclusion: In both China and Korea, awareness of PM may be increased via information provided by newspapers, neighbors and acquaintances, social media, government warning messages, and real-time monitoring applications. Application: The results of this study constitute valuable reference material for related academic and industrial research.