Pandemic Dining Dilemmas: Exploring the Determinants of Korean Consumer Dining-Out Behavior during COVID-19

Amid the COVID-19 pandemic's significant impact on the dining-out industry, this study examined factors influencing consumers' dining-out behavior changes using a unified theoretical framework based on the theory of planned behavior (TPB) and select components of the risk information seeking and processing (RISP) model. A quantitative research method was employed, analyzing 536 valid survey responses collected in South Korea in early 2021 using partial least squares structural equation modeling (PLS-SEM). Findings showed that consumer attitude, perceived control, and subjective norm positively influenced dining-out intention, supporting the TPB. However, risk information-seeking behavior discourages dining-out behavior without significantly affecting intention. Fear emerged as a determinant of dining-out intention, risk information-seeking behavior, and dining-out behavior, highlighting the importance of emotions over rational thinking. This study contributes to existing literature by incorporating dining-out intention, COVID-19-related information-seeking behavior, and fear as key antecedents of dining-out behavior during the pandemic, while validating formative indicators that constitute risk information-seeking behavior and dining-out behavior in the research model.

Avoiding Covid-19 risk information in the United States: The role of attitudes, norms, affect, social dominance orientations, and perceived trustworthiness of scientists.

This study seeks guidance from the planned risk information avoidance model to explore drivers of risk information avoidance in the context of COVID-19. Data were collected early during the pandemic. Among our most notable results is that participants who are more oriented toward social dominance and are more skeptical of scientists' credibility have (1) more supportive attitudes toward risk information avoidance and (2) feel social pressure to avoid risk information. The findings of this study highlight how the role of skepticism in science and intergroup ideologies, such as social dominance, can have important implications for how people learn about health-related information, even in times of heightened crisis.

Digital dashboards visualizing public health data: a systematic review.

Introduction: Public health is not only threatened by diseases, pandemics, or epidemics. It is also challenged by deficits in the communication of health information. The current COVID-19 pandemic demonstrates that impressively. One way to deliver scientific data such as epidemiological findings and forecasts on disease spread are dashboards. Considering the current relevance of dashboards for public risk and crisis communication, this systematic review examines the state of research on dashboards in the context of public health risks and diseases. Method: Nine electronic databases where searched for peer-reviewed journal articles and conference proceedings. Included articles (n = 65) were screened and assessed by three independent reviewers. Through a methodological informed differentiation between descriptive studies and user studies, the review also assessed the quality of included user studies (n = 18) by use of the Mixed Methods Appraisal Tool (MMAT). Results: 65 articles were assessed in regards to the public health issues addressed by the respective dashboards, as well as the data sources, functions and information visualizations employed by the different dashboards. Furthermore, the literature review sheds light on public health challenges and objectives and analyzes the extent to which user needs play a role in the development and evaluation of a dashboard. Overall, the literature review shows that studies that do not only describe the construction of a specific dashboard, but also evaluate its content in terms of different risk communication models or constructs (e.g., risk perception or health literacy) are comparatively rare. Furthermore, while some of the studies evaluate usability and corresponding metrics from the perspective of potential users, many of the studies are limited to a purely functionalistic evaluation of the dashboard by the respective development teams. Conclusion: The results suggest that applied research on public health intervention tools like dashboards would gain in complexity through a theory-based integration of user-specific risk information needs. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=200178, identifier: CRD42020200178.

PRISC: Privacy-Preserved Pandemic Infection Risk Computation through Cellular Enabled IoT Devices

The pandemics such as COVID-19 are worldwide health risks and result in catastrophic impacts on the global economy. To prevent the spread of pandemics, it is critical to trace the contacts between people to identify the infection chain. Nevertheless, the privacy concern is a great challenge to contact tracing. Moreover, existing contact tracing apps cannot obtain the macro-level infection risk information, e.g., the hotspots where the infection occurs, which, however, is critical to optimize healthcare planning to better control and prevent the outbreak of pandemics. In this paper, we develop a novel privacy-preserved pandemic tracing system, PRISC, to compute the infection risk through cellular-enabled IoT devices. In the PRISC system, there are three parties: a mobile network operator, a social network provider, and the health department. The physical contact records between users are obtained by the mobile network operator from the users’cellular-enabled IoT devices. The social contacts are obtained by the social network provider, while the health department has the records of pandemic patients. The three parties work together to compute a heatmap of pandemic infection risk in a region, while fully protecting the data privacy of each other. The heatmap provides both macro and micro level infection risk information to help control pandemics. The experiment results indicate that PRISC can compute an infection risk score within a couple of seconds and a few mega-bytes (MBs) communication cost, for datasets with 100,000 users. IEEE

Can prolonged exposure to information on COVID-19 affect mental health negatively?

The COVID-19 pandemic delivered a heavy blow to social and economic development globally and presents an unprecedented challenge to public health and livelihoods. Using data from a survey on the living needs of people in China amid the COVID-19 outbreak, this study analysed the relationship between the duration of exposure to information on COVID-19 and mental health;the mediating effects of risk perception and confidence in pandemic prevention and control were also measured. We found that prolonged exposure to information on COVID-19 made people feel more anxious and stressed. Meanwhile, risk perception and confidence in pandemic prevention and control functioned as mediators between the duration of exposure to information on COVID-19 and anxiety and stress. Therefore, reduced duration of exposure to pandemic information can lower risk perception and enhance confidence in pandemic prevention and control. It can also relieve anxiety and stress caused by information about the spread of the pandemic.

The Impact of Video Advertising's Information Quality Content and Risk on Customer Trust and Intention to Buy during the Covid

Many companies use video advertising during the covid pandemic. Video advertising has a positive effect on the industry but also has a negative impact (inherent risk) such as time, physical, financial, and social risk. Video advertising content generally follows information quality characteristics to achieve the maximum result. This study will explore on how Video Advertising's Information Quality Content (VAIQC) affects social media risk, customer trust and intention to buy. The study was conducted using the Structural Equation Model and Partial Lease Square (SEM-PLS) techniques with 246 respondents. Several factors have a significant influence, such as customer trust on intention to buy, financial risk on intention to buy, Video's advertising information quality content (VAIQC) on customer trust, financial risk, physical risk, social risk and time risk. This study also looks at the effect of gender on the research model. The results of this research are very useful for the industry and future digital advertising development. © 2022 IEEE.

An Agenda-Setting Account for Psychological Typhoon Eye Effect on Responses to the Outbreak of COVID-19 in Wuhan.

During the outbreak of COVID-19 in Wuhan in 2020, we conducted a nationwide survey of 8170 respondents from 31 provinces/municipalities in China via Sojump to examine the relationship between the distance to respondents' city of residence from Wuhan and their safety concerns and risk perception of the epidemic that occurred in Wuhan City. We found that (1) the farther (psychologically or physically) people were from Wuhan, the more concerned they were with the safety of the epidemic risk in Wuhan, which we dubbed the psychological typhoon eye (PTE) effect on responses to the outbreak of COVID-19; (2) agenda setting can provide a principled account for such effect: the risk information proportion mediated the PTE effect. The theoretical and managerial implications for the PTE effect and public opinion disposal were discussed, and agenda setting was identified to be responsible for the preventable overestimated risk perception.

How did consumers' self-protective behavior formed during the COVID-19 pandemic?

Introduction: This study explored the formation mechanism of consumers' self-protective behavior during the COVID-19 pandemic, which is very important for policy settings to regulate consumer behavior. Based on the basic framework of the Protective Action Decision Model (PADM), this study analyzed the formation mechanism of consumers' self-protective willingness from the perspective of risk information, and explained the deviation between consumers' self-protective willingness and behavior from the perspective of protective behavior attributes. Methods: Based on 1,265 consumer survey data during the COVID-19 pandemic, the empirical test was carried out. Results and Discussion: The amount of risk information has a significant positive impact on the consumers' self-protective willingness, where the credibility of risk information plays a positive moderating role between them. Risk perception plays a positive mediating role between the amount of risk information and the consumers' self-protective willingness, and the positive mediating effect of risk perception is negatively moderated by the credibility of risk information. In the protective behavior attributes, hazard-related attributes play a positive moderating role between the consumers' self-protective willingness and behavior, while resource-related attributes play the opposite role. Consumers pay more attention to hazard-related attributes than resource-related attributes, and they are willing to consume more resources to reduce risk.

Positive Emotion and Media Dependence: Measuring Risk Information Seeking and Perception in the COVID-19 Pandemic Prevention.

Risk perception and information seeking behaviors are affected by individual psychological and situational factors. In the background of COVID-19 prevailing for a long period, this study examined Chinese people's information seeking and processing behavior by the RISP model, which focused on the impact of individual risk perception, affective response, perceived information-gathering capacity, and media trust and the impact of the above factors on information seeking. This study designed an online survey with gender and age quotas among the Chinese population, including a total of 675 valid samples. It was found that the Chinese public's risk perception to pandemic had a positive effect on perceived information-gathering capacity and media trust. Furthermore, both positive emotional responses and negative emotional responses had a positive effect on information seeking behavior. Nurturing positive emotion engendered a holistic perception in pandemic information seeking. In addition, media trust, perceived information-gathering capacity, and subjective norms also positively impact information seeking behavior.

Information-Seeking Behavior for COVID-19 Boosters in China: A Cross-Sectional Survey.

As China launches its second COVID-19 booster campaign and races to bring new vaccine technologies to protect against severe COVID-19 infections, there is limited research on how Chinese residents search for vaccine-related information. This study examined the factors influencing Chinese residents' information-seeking behaviors regarding COVID-19 boosters with a sample of 616 respondents with a mean age of 31.53 from a research panel. Structural equation modeling was used to report factors that influenced respondents' seeking intent. The results indicated that seeking-related subjective norms (ß = -0.55, p < 0.001), negative affect (ß = 0.08, p < 0.05), positive affect (ß = 0.18, p < 0.001), and perceived knowledge insufficiency (ß = 0.10, p < 0.001) are strong predictors of one's seeking intent. We also discovered that there was an inverse relationship between risk perception and positive affect (ß = -0.55, p < 0.001) and between negative and positive affect (ß = -0.19, p < 0.01), while all measurements were either directly or indirectly related to information-seeking intent. A few more indirect but important relationships were also included in our discussion. In conclusion, the present study helps understand what motivates Chinese residents to seek COVID-19 booster information when limited information is available.

Information seeking during the COVID-19 pandemic: Application of the risk information seeking and processing model.

BACKGROUND: To limit the risk of contracting the coronavirus, it is crucial for individuals to attain accurate COVID-19 related information. Once equipped with such information, they can engage in risk preventive behaviors. OBJECTIVE: Applying the risk information seeking and processing (RISP) model, this study examined the sociopsychological factors predisposing individuals' information-seeking intentions. METHODS: This study employed a cross-sectional survey design. Using an online survey platform, study participants were recruited from US adults. A total of 510 valid responses were included in the analyses. Multivariate regression analyses were conducted in a hierarchical fashion while controlling for numerous covariates to determine the relationships between the sociopsychological variables and information-seeking intentions. RESULTS: Sociodemographic disparities were found in perceptions of COVID-19 risk. Perceived risk of coronavirus infection was higher among females, individuals with a history of COVID-19 symptoms, and those in a lower health status. Individuals' perceived risk provoked affective responses (e.g., worry and fear), which then increased self-perceived information insufficiency. This finding indicated individuals experienced worry and fear after perceiving the risk of coronavirus. Such affective responses made them realize that their current COVID-19 related knowledge was insufficient. Subjective norms were also found to increase information insufficiency. In other words, individuals who desired to comply with others' expectations to acquire knowledge about the risk recognized that their current knowledge about coronavirus was insufficient. Finally, individuals who acknowledged information insufficiency were motivated to seek information about the coronavirus. The relation between information insufficiency and information-seeking intentions was moderated by perceived information gathering capacity, but not by relevant channel beliefs. CONCLUSIONS: The findings suggest that policy makers and clinicians assist the public in obtaining accurate information from reliable sources.

Understanding Information Processing and Protective Behaviors during the Pandemic: A Three-Wave Longitudinal Study.

BACKGROUND: Few existing studies have examined information processing as an independent variable to predict subsequent information behaviors in a pandemic context, and the mechanism of subsequent information behavior processing following the initial or prior information behavior is unclear. OBJECTIVE: Our study aims to apply the risk information seeking and processing model to explain the mechanism of subsequent systematic information processing in the context of the COVID-19 pandemic. METHODS: A three-wave longitudinal online national survey was administered during the period of July 2020 to September 2020. Path analysis was conducted to test the relationships between prior and subsequent systematic information processing and protective behaviors. RESULTS: One important finding was the key role of prior systematic information processing, as indirect hazard experience was found to be a direct predictor of risk perception (ß = 0.15, p = 0.004) and an indirect predictor of protective behaviors. Another important finding was the central role of information insufficiency as a mediator/driving force in subsequent systematic information processing and protective behavior. CONCLUSIONS: The study has made important contributions in that it extends the scholarship on health information behaviors by (a) highlighting that relevant hazard experience in risk information seeking and processing model should be expanded to include indirect experience, and (b) providing the mechanism of subsequent systematic information processing following prior information processing. Our study also provides practical implications on health/risk communication and protective behaviors' promotion in the pandemic context.

Risk communication clarity and insurance demand: The case of the COVID-19 pandemic.

We study how the clarity of COVID-19 risk communications affects COVID-19 insurance demand using proprietary prefecture-level insurance data from China. We find that when local disclosures of COVID-19 risk contain case origin information, local purchases of COVID-19 insurance and local Internet searches for COVID-19 information increase, even after controlling for newly confirmed local cases and new deaths. Our results are robust to using the disclosure clarity of a major neighboring city. The findings suggest that providing improved knowledge about risk to individuals lead them to engage in more risk management. Our evidence contributes to the debate over how risk communication affects individuals' risk-related behaviors.

Analysis of the Influencing Factors of Seeking Intention on COVID-19 Risk Information: A Cross-Sectional Study.

Background: Information seeking, as an important part of the prevention and control of infectious diseases, can lead to positive outcomes by reducing uncertainty and alleviating panic. However, most previous studies have limited their analysis to individual-level psychosocial factors, and little is known about how social-level factors influence individuals' information-seeking intentions. Methods: The cross-sectional survey was conducted from July 30, 2020 to August 15, 2020 in China. We used a convenience sampling strategy to recruit participants from among the Internet users. The structural equation model was used to identify the incentives associated with coronavirus disease 2019 (COVID-19) risk information-seeking intention. Results: In this study, the responses of 871 Internet users who reflected a response rate of 85% were analyzed. Information-seeking intention was found to be directed by informational subjective norms (ISNs), perceived information need, risk knowledge, the sense of community (SOC), and negative affective responses, and ISNs were found to be the strongest driving factor. Individuals with a stronger SOC, which was associated with greater pressure and expectations, show negative affective responses. COVID-19 risk knowledge can affect the information-seeking intention of Internet users not only directly but also indirectly through their perceived information need. In addition, more risk knowledge was associated with a lower perceived risk likelihood. Conclusion: When formulating risk communication strategies, governments and health institutions should take targeted measures to improve the public's SOC and knowledge. This will provide an opportunity to explore the role of individual cognition and environmental risk information in public health.

Public Risk Perception Attribution Model and Governance Path in COVID-19: A Perspective Based on Risk Information.

Background: Risk perception is a key factor influencing the public's behavioral response to major public health events. The research on public risk perception promotes the emergency management system to adapt to the needs of modern development. This article is based on a risk information perspective, using the COVID-19 event as an example. From the micro and macro perspectives, the influencing factors of public risk perception in major public health events in China are extracted, and the attribution model and index system of public risk perception are established. Methods: In this paper, the five-level Likert scale is used to collect and measure the risk perception variable questionnaire through the combination of online and offline methods (a total of 550 questionnaires, the overall Alpha coefficient of the questionnaire is 0.955, and the KMO test coefficient t=0.941), and through independent samples t-test, correlation analysis, multiple regression analysis and other methods to draw relevant conclusions. Results: The results showed that gender and age were significantly associated with risk perception (p<0.005), and education level was significantly negatively associated with risk perception (p <0 0.005). Risk information attention and risk perception were significantly positively correlated (p<0.005), media credibility was significantly positively correlated with risk perception (p<0.005), while risk information identification and media exposure had no significant interaction with risk perception (p=0.125, p=0.352). Conclusion: Factors such as gender, age, education level, place of residence, media exposure, media credibility, risk information attention, and recognition lead to different levels of risk perception. This conclusion helps to provide a basis for relevant departments to conduct public risk management of major public health events based on differences in risk perceptions.

Reliability but not bias: Developing a scale to measure preferred channels for risk information during the COVID pandemic.

To develop a new measure of preferred sources for risk information, two studies asked respondents to indicate what channels they were reliant on for information about COVID-19, from 25 news channels ranging across the political spectrum. Unexpectedly, dependencies clustered around level of reliability rather than the political orientation of the news channel. In other words, each cluster included media channels from both the left and right side of the political spectrum, while dependencies clustered into sources that varied by the degree to which their content is reliable. Participants who turned to lower reliability channels indicated lower risk perceptions, less accurate probability estimations, reduced vaccination intentions, and lower protective behavioral intentions. Those inclined to use higher reliability channels indicated higher risk perceptions, more accurate probability estimations, increased vaccination intentions, and higher protective behavioral intentions. These relationships are discussed in terms of implications for our understanding of source reliance and risk perception, information sufficiency, and implications for both future research and public health interventions.

Evolution Model and Simulation Study of the Public Risk Perception of COVID-19.

The evolution of the public perception of the risk in public health emergencies is closely related to risk response behavior. There are few systematic explanations and empirical studies on how the individual receiving the risk information affects the change in the individual risk perception through internal mechanisms in the context of COVID-19. Based on the understanding of the existing research, this paper constructs the evolution model of the public risk perception level based on the limited memory theory and a simulation analysis is performed. The results are as follows: memory rate, association rate, information reception and information stimulation in a single period of time have significant indigenous effects on the risk perception; when the amount of information received and the information stimulus remain unchanged, the public's risk perception follows a monotonic upward trend, but there is an upper limit function, and the upper limit is determined by the memory rate and association rate, and the influence of the association rate is higher than that of the memory rate; When the amount of information received and the information stimulus changes, the public's risk perception will also change, and there is a lag effect, which is determined by the memory rate. The impact of the acceptance of the information on the risk perception is greater than that of the information stimulus.

Study on the Influence of Risk Information on Risk Perception and Coping Behavior of College Students in the Context of Epidemic Prevention and Control

Objective: This study aims to explore the influence of risk information on college students'coping behavior during the pandemic and the mediating role of risk perception in between. Methods: 553 college students were surveyed by risk information questionnaire, risk perception questionnaire and coping behavior measurement. Results: (1)In risk information, the cure information and the government prevention and control measures could reduce the level of individual's risk perception, while the disease information and the self-related information could cause college students'high-risk perception;(2) The four kinds of risk information significantly correlated with risk perception and coping behavior, and risk perception and coping behavior were significantly correlated;(3) Risk perception played an mediating role between risk information and coping behavior. Conclusion: Risk information and risk perception during the epidemic significantly affected college students'coping behavior. © 2022 ACM.

An Application of the Risk Information Seeking and Processing Model in Understanding College Students' COVID-19 Vaccination Information Seeking and Behavior

This study tested the utility of risk information seeking and processing (RISP) model in understanding college students' information seeking about COVID-19 vaccines and their vaccination behavior. Participants (N = 158) completed a survey measuring the RISP constructs at Time 1 and their COVID-19 vaccination behavior at Time 2. The RISP model explained 71.1% of the variance in COVID-19 vaccine information seeking. Risk information seeking and attitude toward the COVID-19 vaccine positively influenced college students' intentions to get the vaccine, which positively predicted their vaccination behavior. Overall, these variables explained 33.4% of the variance in COVID-19 vaccine intention, and 37.2% of the variance in COVID-19 vaccination behavior.